coprime generation algorithm
Category
🦄
CreativityTranscript
00:00:00Hello friends. Welcome to Humanology 2232. Happy Wednesday.
00:00:10Happy Wednesday evening. This morning I had my car repaired in the repair shop.
00:00:20Well, there's some problem with the... I mean yesterday I went to the Point Machines more rural area and the right side of my car got stuck in the...
00:00:34I mean the two tires got stuck in the dirt and so there's some dirt particles get inside of my right side.
00:00:48So yeah, that's why I had to put my car in the mechanic today, this morning.
00:00:56There's some problem with the dirt getting inside of the brake system.
00:01:03Okay, so yeah, so they repaired it. Thank you.
00:01:07And then during that time I walked, I ran and also walked to Starbucks in Wasina downtown.
00:01:16I had breakfast there, but that was nice.
00:01:20Like incredible sausage. Yeah, that's like vegetable based kind of imitation sausage, but that was really good.
00:01:28And the mother's healthy breakfast in Starbucks.
00:01:33It's been like five, more than five years since I've been to Starbucks, okay.
00:01:37Because typically I don't go to cafe, but I went there and I also had this known coffee and tea that was nice too.
00:01:46Some version of chamomile. That was nice.
00:01:51And then after that, I walked to Cotton Creek.
00:01:56There's also Wasina downtown.
00:01:59I looked down the bridge. I saw three trouts.
00:02:02I think it's trouts. There's fish like this big, about foot long.
00:02:06Three of them swimming very slowly under the bridge. That was nice.
00:02:10Of course, it's Wasina downtown, so water is not that clean.
00:02:15So I wouldn't eat fish coat there.
00:02:19But so then that was nice. Yeah.
00:02:22And then I went to Wasina Lake Park and nice birds, including, so I was wondering what kind of birds they are.
00:02:35It's water fowl, some kind of, some version of dog.
00:02:39Yeah, Marla dog and also another dog that I did look up.
00:02:44And I think they are, the name of those species are, I forgot.
00:02:58I looked them up again, okay.
00:02:59So it's like a, Wajon or something? Dajon?
00:03:13Uh.
00:03:14I looked at them, I'll get back to you, okay?
00:03:19And, and, okay, so yeah, I took some photos of those nice birds and the Wasina Lake Park.
00:03:27And then, then I went to Wasina Library.
00:03:31Yeah, and then I studied some, like, foreign languages.
00:03:35Yeah, the vocabulary.
00:03:37Russian language, okay.
00:03:38Yeah.
00:03:39Yeah, Russia and Ukraine have similar languages, so I studied either languages.
00:03:43Both of them these days, okay?
00:03:45Yeah.
00:03:46Yeah.
00:03:47And, um, and it became lunch time, so I went to McDonald's and had a meal of a quarter pounder.
00:03:58Yeah.
00:03:59Yeah, quarter pounder and the fries with milk.
00:04:02Yeah.
00:04:03Yeah.
00:04:04After that, yeah, my car's fixed, okay?
00:04:06So I just drove home, okay?
00:04:07Yeah.
00:04:08And then took a nap.
00:04:09Okay?
00:04:10Yeah, nice.
00:04:11Nice.
00:04:12Okay.
00:04:13Yeah.
00:04:14Cheers.
00:04:15And then I woke up and, um, so, well, early this morning I applied to, like, five Alaska State
00:04:27Government authority jobs.
00:04:29And this evening, after I woke up, that was very early in the morning, okay?
00:04:34And this evening, after I woke up from the nap, I applied to one more Alaska State Government
00:04:42authority job and then four, uh, Anchorage law firm jobs, okay?
00:04:48So today, yeah, six Alaska State Government authority jobs and four, uh, private law firm jobs.
00:04:56So I applied to ten jobs today.
00:04:59Okay?
00:05:00Yeah.
00:05:01So doing my share of work as an unemployed person.
00:05:05Okay, good.
00:05:06Now let's do some stretching.
00:05:09Cheers.
00:05:11Yeah, so because the jobs I applied in the past,
00:05:17I didn't get back to me, so I got the impression that maybe they are not interested in hiring
00:05:28me, interviewing me, or maybe they hire somebody already.
00:05:33Okay?
00:05:34Yeah, so I gotta move on, you know?
00:05:36Yeah.
00:05:37So.
00:05:38Okay.
00:05:39Yeah.
00:05:40We'll see what happens.
00:05:42Ah.
00:05:44Ah.
00:05:45Ah.
00:05:46Ah.
00:05:47Ah.
00:05:50Ah.
00:05:52Okay.
00:05:53Ok.
00:05:54Hi.
00:05:55Ah!
00:05:56OK.
00:05:57Ah.
00:05:57Ah.
00:06:01Thanks so much.
00:06:05Oh my God.
00:06:13So, ok.
00:08:21Yes, I did recognize many names.
00:08:22People in business, politics, okay.
00:08:27That was 2013.
00:08:28That was two years before I came to Alaska.
00:08:31So was the public library like 12 years old. Okay. Yeah, this isn't very nice. Yeah
00:08:40I've been there many times
00:09:00Okay
00:09:21Hmm
00:09:30Oh
00:10:00Oh
00:10:12Okay, fair exercise
00:10:20Ah
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00:20:36I think...
00:20:38I think...
00:20:40This is a male one.
00:20:43Okay?
00:21:00Female one.
00:21:02This is a male one.
00:21:04This is...
00:21:12This is...
00:21:14This is...
00:21:15This is...
00:21:25This is...
00:21:27This is...
00:21:28This is...
00:21:29And...
00:21:30I...
00:21:36This is...
00:21:39This...
00:21:40This...
00:21:41This...
00:21:43waterboard and then there are many webpages, one of the webpages list out 25
00:21:50birds with pictures so I looked and yeah one of them can look like what I saw so
00:22:00okay yeah nice. Anything? No that's good and let's get back to mathematics huh? Yeah sure.
00:22:11They're okay?
00:22:14Okay, let's just bring the whiteboard and review.
00:22:44You're doing number theory, like coprines, generation of all the coprines pairs.
00:23:14Using our coprime audition subtraction theorem, we have a nice generative algorithm here.
00:23:30If a and b are coprimes, then a and a plus b, they are coprimes too.
00:23:36Okay, so that way we can generate the coprime pairs.
00:23:41Like...
00:23:48Yeah, four and one, they are coprimes.
00:24:04Okay, so lesser coprime set.
00:24:07What are coprimes of four, which is less than four?
00:24:12One and three, right?
00:24:13Yeah.
00:24:15And then...
00:24:27And one and three, if you add them up, they become four.
00:24:31So that's like binary partition, additive partition of four.
00:24:36Okay?
00:24:37Yeah.
00:24:38And that comes from like coprime subtraction theorem.
00:24:43Okay?
00:24:44Yeah.
00:24:45If four and one are coprimes, then four and four minus one, they are coprimes too.
00:24:52Okay?
00:24:53Which is three.
00:24:54Okay?
00:24:55Yeah.
00:24:56And four and two, well, six and two, they are not coprimes.
00:25:04Okay?
00:25:05Then six and six minus two, they are not coprimes either.
00:25:10Okay?
00:25:11Yeah.
00:25:12It all comes from this powerful coprime audition subtraction theorem.
00:25:17It's bidirectional.
00:25:18Okay?
00:25:19Yeah.
00:25:20Which is very good.
00:25:22Okay?
00:25:23Yeah.
00:25:24So we have four and two, they are both non coprimes of six.
00:25:27Okay?
00:25:28Yeah.
00:25:29Okay.
00:25:30Let me get some water.
00:25:31Okay?
00:25:32Okay?
00:25:33Okay.
00:25:34Okay.
00:25:35Okay.
00:25:36Okay.
00:25:37Okay.
00:25:38Okay.
00:25:39Okay.
00:25:40Okay.
00:25:41Okay.
00:25:42Okay.
00:25:43Okay.
00:25:44Okay.
00:25:45Okay.
00:25:46Okay.
00:25:47Okay.
00:25:48Okay.
00:25:49Okay.
00:25:50Okay.
00:25:51Okay.
00:25:52Okay.
00:25:53Okay.
00:25:54Okay.
00:25:55Okay.
00:25:56Okay.
00:25:57Okay.
00:25:58Okay.
00:25:59Okay.
00:26:00Okay.
00:26:01Okay.
00:26:02Okay.
00:26:03Okay.
00:26:04Okay.
00:26:05Okay.
00:26:06Okay.
00:26:07Okay.
00:26:08Okay.
00:26:09Okay.
00:26:10Okay.
00:26:11Okay.
00:26:12Okay.
00:26:13Okay.
00:26:14Okay.
00:26:15Okay.
00:26:16Okay.
00:26:17Okay.
00:26:18Okay.
00:26:19Okay.
00:26:20Okay.
00:26:21Okay.
00:26:22Okay.
00:26:24Uh-huh. So 4 and 1 being co-primes, that means 4 and 1 plus 4 and 4 and 2 times 4, 4 and 1 plus 2 times 4, 4 and n times 1 plus n times 4.
00:26:51Yeah, there are co-primes, meaning this is like a 1 row 4, the kind of number that when divided by 4, remainder is 1.
00:27:03Okay, yeah. This 3 row 4, the kind of numbers when divided by 4, remainder is 3.
00:27:12Okay, there are co-primes with 4. Okay, nice.
00:27:18And 1 is co-prime with all the non-negative numbers, even 0. Okay, 1 is co-prime with even 0. Okay, yeah.
00:27:43But that's a special case. Okay, so basically 1 is co-prime with 0. Also 1 is co-prime with all the positive integers. Okay.
00:27:53And 2 is co-prime with all the odd numbers, like 1, rho, 2. Okay? Okay.
00:28:033 has two lesser co-primes, 1 and 2. Okay, so 1, rho, 3 and 2, rho, 3. They are co-primes with 3. Okay.
00:28:09And 2 is co-prime with all the odd numbers, like 1, rho, 2. Okay?
00:28:163 has two lesser co-primes, 1 and 2. Okay? So 1, rho, 3 and 2, rho, 3. They are co-primes with 3. Okay?
00:28:37Uh-huh. And so on. Okay? Yeah.
00:28:47Okay
00:29:06So algorithm
00:29:08The easiest algorithm most obvious algorithm to generate all the copron pairs
00:29:14Yeah, starting with one
00:29:17Uh
00:29:27Okay
00:29:29Here's the range of n
00:29:37Here's the range of n
00:29:49n is non-negative integers, okay? So
00:29:55I
00:29:57zero plus
00:29:59Okay
00:30:00Zero or positive integers
00:30:03And
00:30:05Similar way
00:30:071 is copron with 1 plus n times 1
00:30:15And n
00:30:17Is non-negative integers
00:30:21Zero or positive, okay?
00:30:23Zero or positive, okay?
00:30:25I zero plus
00:30:27Okay
00:30:29Yeah
00:30:31So n
00:30:321 is copron with all the positive integers
00:30:371 is also copron with zero as well, okay?
00:30:41Okay
00:30:42Cheers
00:30:43Okay
00:30:44Cheers
00:30:45Okay
00:30:46Cheers
00:30:47Okay
00:30:49Okay
00:30:51Okay
00:30:52Okay
00:30:53Now
00:30:55We will formalize this algorithm to generate all the copron pairs
00:30:57Using this copron audition subtraction theorem, okay?
00:30:59Uh, five minutes break, okay?
00:31:00Yeah, thank you
00:31:01Yeah
00:31:02If you want to formalize it yourself, go for it, okay?
00:31:05Okay
00:31:06Now let me start cooking my dinner too
00:31:10Which will be, uh, water-boiled tilapia fish and, uh, a
00:31:13Chicken breast with corns, all right?
00:31:14Okay
00:31:15Okay
00:31:16Okay
00:31:17Okay
00:31:18Okay
00:31:19Okay
00:31:20One more time
00:31:21Okay
00:31:22Okay
00:31:23Okay
00:31:24Okay
00:31:25Okay
00:31:26Okay
00:31:27Okay
00:31:28Okay
00:31:29Okay
00:31:30Okay
00:31:31Okay
00:31:32Okay
00:31:33Now let me start cooking my dinner too
00:31:34Which will be, uh, water-boiled tilapia fish and, uh, chicken breasts
00:31:37With corns
00:31:38All right
00:31:39Okay
00:31:42And green leafy vegetables, yep, they're wrong.
00:31:55Actually, I'm going to cook some dumplings this time, yep.
00:32:11I'm going to cook some dumplings, yep, I'm going to cook some dumplings, yep, I'm going
00:32:40to cook some dumplings, yep, I'm going to cook some dumplings.
00:32:56Not yet, I'm going to cook some dumplings, yep.
00:33:04Yeah.
00:37:35Okay.
00:37:36Before we refresh that, let's introduce some concepts here.
00:37:45So...
00:37:46Let's introduce concept of additive complement and multiply...
00:38:02Yeah.
00:38:03Yeah.
00:38:04Oh, well.
00:38:08No proper damage.
00:38:12Just...
00:38:13Pulling.
00:38:15It's spilling a little bit, but that's whatever.
00:38:26Yeah.
00:38:27Yeah.
00:38:37So, what's spilled?
00:38:38The wind shield wiper fluid.
00:38:39Well, that is more like...
00:38:42with generic brand of Windex
00:38:46But no electric equipment
00:38:52Yeah, just on the floor. Okay, that's fine
00:39:05Okay
00:39:08Uh
00:39:11Additive complement and the multiplicative complement. Okay, so
00:39:29What do I mean? Okay, uh
00:39:33Come on
00:39:35Let's say number five
00:39:44Uh
00:39:45Multiplicative partition
00:39:47Five is one times five
00:39:50Four
00:39:51One times four
00:39:52Two times two
00:39:53Six
00:39:54One times six
00:39:55Two times three
00:39:56Is binary
00:39:58Multiplicative partition
00:40:00Okay
00:40:01Now binary additive partition
00:40:04Six is one plus five
00:40:06Two plus four
00:40:07Three plus three
00:40:08Okay
00:40:09In that way, we are talking about binary partition in terms of addition and multiplication. Okay?
00:40:14Let's talk about binary partition in terms of addition and multiplication. Okay, so
00:40:18Multiplicative complement one
00:40:20Of six
00:40:22In terms of one is five
00:40:24Okay
00:40:26And
00:40:27Additive complement
00:40:29I'm sorry
00:40:31Six
00:40:32Okay
00:40:34When it comes to six
00:40:35Additive complement one is five
00:40:38Additive complement one is five because one plus five is six
00:40:44Now when it comes to six
00:40:47Multiplicative complement one is six because one times six is six
00:40:53Okay
00:40:54Okay, and so on
00:40:55All right, good
00:40:57Yeah
00:41:01Yeah, we are building some foundation, ground up very thoroughly
00:41:11Form foundation
00:41:13Okay, yeah
00:41:16There is our strength as a mathematician. We know how to do this thoroughly
00:41:21Ground up
00:41:23Start from very basic, okay?
00:41:25Okay
00:41:27Okay
00:41:29Now let's grab another whiteboard
00:41:31Here
00:41:39Yeah, I'm unemployed but I'm being diligent
00:41:43Okay
00:41:45This is a fraction algebra already published
00:41:49So we can erase this
00:41:54Okay
00:41:56Yeah
00:42:01Cheers, happy wednesday
00:42:19Yeah
00:42:21Yeah, today so when my car was being repaired
00:42:26Yeah, I walked around the downtown
00:42:27Wasilla
00:42:29Yeah
00:42:35Mm-hmm
00:42:37That's nice
00:42:39Kind of self-conscious too because like uh
00:42:47Me walking around downtown uh Wasilla
00:42:51Like uh
00:42:53Between public libraries, Starbucks
00:42:55Uh
00:42:57As a jobless person
00:43:01My car was in the shop
00:43:03The repair shop so I was
00:43:05Temporarily carless too
00:43:07Okay
00:43:09But not homeless, okay
00:43:11So yeah
00:43:13Yeah, because other people like you know
00:43:15Traffic lights stop
00:43:17Yeah, I mean just waiting for traffic signal
00:43:19As a pedestrian
00:43:21As a pedestrian, okay
00:43:23Only be self-conscious too, okay
00:43:25So okay
00:43:29Yep
00:43:31Okay
00:43:33Okay
00:43:35Okay
00:43:45So algorithm
00:43:47To find all the Copeland pairs
00:43:49It does not have to be efficient algorithm okay
00:43:51It just needs to be correct algorithm
00:43:53Okay
00:43:55It just needs to be correct algorithm
00:43:56Okay
00:43:57Yeah
00:44:11Uh
00:44:13Let's start with one
00:44:25Let's start with one
00:44:27Three
00:44:28You
00:44:30You
00:44:32You
00:44:33You
00:44:34You
00:44:35You
00:44:36You
00:44:37You
00:44:38You
00:44:43Who prime set
00:44:44One
00:44:46It just won
00:44:47Okay. Yeah
00:44:49Four
00:44:50You
00:44:51You
00:44:52You
00:44:53You
00:44:54You
00:44:55You
00:44:56You
00:44:571 plus n times 1.
00:45:03OK.
00:45:11Well, let's say less or equal
00:45:27to, less of co-prime set, but it means less or equal to, OK?
00:45:33So yeah.
00:45:38And then co-prime set 1.
00:45:451, 2, 3, dot, dot, dot.
00:45:51All the, well, actually, it's
00:45:57tough from zero, OK?
00:45:58So what is special case?
00:46:11OK.
00:46:20Now, less or equal prime set of 2, 1.
00:46:274 prime set of 2, 2n plus 1, OK?
00:46:41So 1, all the odd numbers, OK?
00:46:46OK.
00:46:54Then, well, let's rename this.
00:47:04Smaller or equal to, OK, yeah, co-prime set.
00:47:20Now, bigger co-prime set, the number that is co-prime with 1, but it's bigger than 1.
00:47:28OK.
00:47:36Bigger co-prime set of 2, the numbers co-prime with 2, but it's bigger than 2.
00:47:43All right, good.
00:47:50Now, 5 is great, OK?
00:47:52Yeah, let me check on my, you know?
00:47:53Yeah, we'll have dumplings and vegetables in there.
00:47:56Thank you. Yeah, let me check on my Dino. Yeah, I'm going to have dumplings and vegetables in there.
00:48:08Yeah.
00:48:11All right, fine. Thank you.
00:54:56That's very different from what they did, what other mathematicians supposedly proved,
00:55:01the non-redundancy and exhaustiveness of Copra and Pair generation of Farré sequence algorithm.
00:55:10Okay, so we are doing it differently, okay?
00:55:15Good.
00:55:16Now time check.
00:55:21It's been almost one hour, okay?
00:55:30I think we did enough mathematics for this episode, okay?
00:55:35Okay, so we'll continue.
00:55:37Okay, so we'll continue.
00:55:38We did a lot, okay?
00:55:40Yeah.
00:55:41Let's go something else now.
00:55:42Okay.
00:55:43Yeah.
00:55:44I mean, my dinner is ready and then I'm hungry and we'll continue mathematics.
00:55:49Maybe tomorrow, okay?
00:55:50Maybe tomorrow, okay?
00:55:51Maybe tomorrow, okay?
00:55:52Maybe tomorrow, okay?
00:55:55Yeah.
00:55:56We did enough for today.
00:55:58Very good progress.
00:55:59Right.
00:56:04But maybe one more.
00:56:06Let's come up with no intentional convention, okay?
00:56:11Real quick.
00:56:29Additive complement and multiplicative complement.
00:56:41We can do this, okay? Additive complement of 6 and 1 is 6 minus 1, which is 5.
00:57:03Okay? Now multiplicative complement of 6 and 1.
00:57:13Well, this time we'll use 2, okay?
00:57:176 divided by 2, 3.
00:57:29Okay?
00:57:31Yeah, the complement function, both audition and multiplication,
00:57:39yeah, it is like two variables, two inputs.
00:57:43Okay?
00:57:45Yeah.
00:57:51But to use like subscript, superscript, we may use plus 6 and 1.
00:58:07Okay?
00:58:09Here, multiplication, 6 and 2.
00:58:15Okay?
00:58:17It's more compact that way.
00:58:21This way, we have three characters, plus 6, 1, multiplication, and 6 and 2, okay?
00:58:31And then we are getting rid of the open parenthesis, close parenthesis, and the comma.
00:58:37Okay?
00:58:43Let me write it bigger for you, okay?
00:58:45Additive complement of 6 and 1 is 5.
00:58:47Additive complement of 6 and 1 is 5.
00:59:01Additive complement of 6 and 1 is 6.
00:59:13Additive complement of 6 and 2 is 3.
00:59:15Okay?
00:59:17Yeah.
00:59:18Good.
00:59:19Good. That's all we need to do today when it comes to mathematics, okay?
00:59:29Nice. Good innovation in terms of notational convention, okay? We are very
00:59:37creative here, okay? So, welcome to human health school. Okay, now let's talk about
00:59:42something else. Well, let's take final spray. How about that? Vocal rest. Okay, thank you. Let's do some
01:00:02ventilation. Nice.
01:00:17Oh.
01:03:43Actually, let's come up with better verbal convention.
01:03:56Additive complement of one on six is five.
01:04:02Additive and multiplicative complement of two upon six or on six is three.
01:04:09Okay, that's better.
01:04:10Okay.
01:04:11Okay.
01:04:12That's that.
01:04:14Very good.
01:04:16Now let's talk about something else.
01:04:20Yeah, this is I'm very gentle with wild animals because I really like the fact that these wild animals like us people like that vision dog.
01:04:33Right?
01:04:34Right?
01:04:35Yeah.
01:04:36Yeah.
01:04:37Yeah.
01:04:38Those birds also grab water fowls.
01:04:44Okay.
01:04:45Okay.
01:04:46With fin on their feet.
01:04:48And they like people.
01:04:51I guess some people feel them.
01:04:53Okay?
01:04:54Yeah.
01:04:55Yeah.
01:04:56So they come to people sometimes.
01:04:58Okay.
01:04:59They come to me.
01:05:00Okay.
01:05:01And I like that degree of trust between wild animals and people.
01:05:04And I do not want to hurt that trust.
01:05:06That's why I'm very gentle with those animals.
01:05:07Okay.
01:05:08Wild animals.
01:05:09So that we have rapport.
01:05:10Good relationship.
01:05:11Yeah.
01:05:12Because they're beautiful animals.
01:05:13Okay.
01:05:14We love them.
01:05:15Yeah.
01:05:16And that vision dog is not as common as Malar dog.
01:05:21And yeah, vision dogs are very elegant.
01:05:26The way they move.
01:05:27That was nice.
01:05:28What a treat.
01:05:29Beautiful world.
01:05:30Okay.
01:05:31But Malar dog is different.
01:05:32Yeah.
01:05:33Yeah.
01:05:34They're very common.
01:05:35And then they're very friendly.
01:05:36Very cute.
01:05:37Beautiful.
01:05:38Yeah.
01:05:39Yeah.
01:05:40Yeah.
01:05:41Cheers.
01:05:42Yeah.
01:05:43I'm not against hunting.
01:05:44Sustainable hunting fishing.
01:05:45I'm not against that at all.
01:05:46Okay.
01:05:47As long as it's legal.
01:05:48Sustainable.
01:05:49Okay.
01:05:50It's all cool.
01:05:51Yeah.
01:05:52Yeah.
01:05:53Yeah.
01:05:54Yeah.
01:05:55Yeah.
01:05:56Yeah.
01:05:57Yeah.
01:05:58Yeah.
01:05:59Yeah.
01:06:00Yeah.
01:06:01Yeah.
01:06:02Yeah.
01:06:03Yeah.
01:06:04But when it comes to me.
01:06:05Yeah.
01:06:06Yeah.
01:06:07I'm kind of like a minimalist.
01:06:11So when I want to eat fish, I go to Walmart and buy frozen fish.
01:06:19They're already filleted.
01:06:21But when it comes to fish, even if it's filleted, they're still bones, fish bones.
01:06:29Fish bones, okay, you need to be careful with that because you don't want to swallow fish bone, okay? No, okay, so yeah
01:06:36Make sure you chew
01:06:38fish slowly and get spit out all the fish bones, okay?
01:06:49Chicken, yeah birds. Yeah, I just buy frozen chicken breasts
01:06:54Okay, but they're already deboned
01:07:04It's just easier that way, okay, that's all
01:07:12Yeah
01:07:16Modern convenience, okay, yeah
01:07:24Uh
01:07:26In the Wasilla lake was there I went today. I was I was what so a grabby's
01:07:32G-r-e-b-e-s, okay. Yeah, they are diving birds
01:07:36They dive okay. Yeah to catch fish. Yeah
01:07:41Grabby's
01:07:44So I was wondering they're quite common, okay grabby's
01:07:49Diving birds, waterfowl, okay, and
01:07:52They so I was wondering do people eat them?
01:07:56So I looked them up and that is like Alaska natives or
01:08:00American natives
01:08:02Traditionally they did consume
01:08:04Grabby's okay, but other than them
01:08:08Not very common
01:08:11Okay, okay
01:08:13Why I don't know
01:08:17Maybe there's not enough meat or maybe they don't taste very good. I I don't know
01:08:23Alaska natives or American natives. Yeah, they did
01:08:26Consume grabby's their waterfowl
01:08:29Okay, they're
01:08:31Not like their big spills are narrow than dogs. Okay. Yeah
01:08:40Yeah
01:08:43Hmm
01:08:48Malar dogs. Yeah, they are
01:08:51Haunted yeah and consumed
01:08:54They're very common. Okay, so sustainable hunting. Okay, that's fine
01:09:00But for me, I just enjoy watching them. Okay. Yeah live dogs. They're very friendly. Yeah
01:09:08Nice, I guess some people feel them. Okay. Yeah, that's cool
01:09:13Yeah
01:09:18Goals, I mean
01:09:20Wasilla we do have ocean okay like clinic arm. That's like breakish water which means a little bit salty
01:09:29Okay, but mostly fresh water. Okay, so it's where the ocean meets the river basically. Okay, so
01:09:34Yeah, so and
01:09:36Yeah, we have some ocean, but
01:09:40What's in a lake? So is lake goal? I guess g-u-l-l
01:09:44Yeah, they're friendly too
01:09:48Beautiful birds, yeah
01:09:50So they come to people because uh
01:09:52So they come to people because uh
01:09:54They can't expecting people
01:09:57To give them some food. I guess yeah, that's nice
01:10:00Yeah
01:10:02I
01:10:04I
01:10:08Mean some cities is it is illegal to feed wild animals
01:10:14Uh, but when it comes to birds, I think feeding them is fine. Like I mean like many houses they have this bird feeder, right?
01:10:23Well, obviously that's it legal your bird feeder filled with some grains
01:10:33Yeah
01:10:35Wild birds
01:10:37So I think that's cool
01:10:40Hmm
01:10:42Hmm
01:10:42Hmm
01:10:43Hmm
01:10:45Hmm
01:10:49Hmm
01:10:51Uh-huh
01:11:05Uh-huh
01:11:09But what's more problematic than feeding birds is more like feeding big animals like moose
01:11:23Even bears. Uh, I mean in the videos like youtube videos. I've seen people
01:11:29feeding moose
01:11:30Even bears
01:11:32Wild bears wild moose
01:11:34That's more problematic because those animals are dangerous
01:11:38Okay, yeah
01:11:39But birds I think killing them is fine. It's safe
01:11:46Yeah
01:11:50Hmm
01:11:56Now let me feed myself
01:11:59Okay
01:12:00Yeah, it's been more than one hour and I'm hungry and we did good mathematics
01:12:05Yeah, and uh
01:12:13Maybe one more second one. Sure
01:12:15Fargo spray. Okay. Thank you
01:12:17Yeah
01:12:19Okay
01:12:22Nice
01:12:23Thank you
01:12:23Okay, so
01:12:27Okay, folks
01:12:49You
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01:17:00So..
01:17:01is Wednesday.
01:17:02Last Wednesday was my last day at work.
01:17:04OK so it's been less than one week it's been 6 days since I've been unemployed.
01:17:12yeah okay so tomorrow Thursday yeah so unemployment insurance that's a weekly
01:17:22update okay so I'll do that tomorrow job application I so far I applied to 12
01:17:30jobs that's enough in a week so I don't think it's necessary for me to apply for
01:17:41more jobs this week possibly next week okay yeah unless I hear back from some of
01:17:51them yeah and my hair I think I look fine but I did take picture and email to my
01:18:03parents in Korea and they said yeah well your hair is fine but maybe just one
01:18:10more hair cut okay okay maybe I'll do that yeah just before the interview I guess
01:18:16to look fresh yeah I can do that but to be honest I think my hair looks just fine okay
01:18:23but yeah maybe more trimming
01:18:27okay okay okay yes so after the this episode I'll watch uh uh
01:18:44uh
01:18:45either Charlie Chaplin movie or Twilight Zone episode while eating dinner okay see you tomorrow
01:18:56okay yeah thank you yep mm-hmm yeah
01:19:00okay