Global Connections. I'm your host Grace Chang and I'm joined here today by Vince Valdemore, the Executive Director of Athletics at Hawaii Pacific University. And Vince is here to talk with us today about college athletics and its global reach. Hi Vince, welcome to the program. Grace, thanks for having me. Thank you for coming on here. Glad to be here. Well it's a really interesting topic to talk about today and you've been the Executive Director at HPU since 2013. So interesting job in position and overseeing the athletics program. It's a full-time job, that's for sure. There's a lot to do there. Good. Could you tell us a little bit about your background, how you got into this field? Sure. So I've been in Hawaii since 2003. I was born and raised in Philadelphia and Midwest boy went to school at DePaul University in Notre Dame and bounced around from jobs to jobs in sports. So I pretty much had about 20 years in sports in the sports world both in professional and now in college. But in 2003, the University of Hawaii had a job opening for a fundraiser and they believed what I was saying at the time and hired me. I was there for about 11 years and it was a great experience at University of Hawaii. But then in 2014 we Dr. Bannister at the time was looking for an athletic director here at HPU and it was good timing. It was a great opportunity for me and I'm lucky I got it and I've been here since. Okay, excellent. Yeah. So tell us a bit about the athletics program at HPU and then we'll talk a bit more about you know college athletics and then the you know the kind of internationalization of the student athlete population. Sure, definitely. You know HPU is really unique. I mean not only just it's an urban campus but our makeup of international students for athletics programs you know facilities are always important and being in downtown Honolulu it's a little bit of a creative challenge of always trying to find places for our student athletes to practice and they'll compete. So you know that that makes it you know a little bit more of a special type of student athlete to come to HPU. In terms of our makeup we have about 250 or so student athletes in athletics. About 55% of those are from the mainland and we have about 20% or so from international and then the remaining was that equal 25% are local kids. So we have a nice balance of mainland local international and it makes for a great experience if you're a student on a soccer or volleyball or a basketball team you are experiencing the world with a lot of different kids from all over the place. Yeah so extending your education international exposure while you're on the team through your teammates. I went to school at the Paul University and played tennis and it was in Chicago and I mean it was a great experience. I loved Chicago. I loved the Paul but it was a kind of a different makeup right. I mean when I compare what I saw in college versus what I see now at HPU it's completely opposite with this international influx of student athletes with just the urban center with everything that's happening. So it's pretty exciting. I'm you know I wish I could you know go back in time. Yeah I mean it seems like you know when probably when you and I are growing up right there weren't as many international athletes in the pro ranks or in college. I mean is this kind of a new development over the last I don't know how long to have international student athletes join the NCAA and you know I think it's been around and I think you're right there there has been a little bit more of a big boom of that. I know that you know there's always some that are coming to the U.S. for you know competition or for academics or whatever it is but you know I started to notice it more now just because in Hawaii you really pay attention to all the different cultures that are here and I just really started to notice that wow it's it's it's a trend that's continuing to grow and the fact that it's Hawaii I mean you know it's a destination university right. People love to just be in Hawaii so it also adds to that. The climate for sports. Yeah it's pretty good for that. Yeah yeah so we're not ever you know we're not ever trapped just indoors lots of. I played tennis in the snow so. Yeah Chicago you're tough. Yeah right. And I mean NCAA is kind of unique as far as you know the U.S. collegiate approach to athletics because in a lot of other countries there isn't this kind of organized collegiate athletic organization that's that you know NCAA represents. Yeah I mean you're right. It is. I mean the NCAA is a lot of regulations. There's a lot of policies. I mean it's really it's a big business right. I mean you have probably maybe a thousand eleven hundred schools that are part of the NCAA. You have division one division two division three and there are make-ups within those divisions but it's it's really trying to promote you know membership among the schools and healthy competition and fairness so that's why you have you know gender equity and title nine concerns and so all of that plays into fielding and managing and promoting and you know growing an athletics program and that's what creates a lot of the gray hairs and bags under the eyes of the lack of sleep but we like it. I'm here not noticeable. Good lighting but you do have a lot of programs. I mean the athletics program at HVU has grown. There have been several programs added right in the last few years. Yeah I mean we were at 14 now so 14 programs with 250 student athletes you know and that's a healthy balance for us. You know we recently maybe four or five years ago added a sport which was acrobatics and tumbling. It had never existed before so that was a sport that nobody knew about but it it became a sport through a number of individuals and organizations. HPU jumped in and said this is a sport that makes sense for us and we have twenty five to thirty young women that compete in acrobatics and tumbling in the nation and we've probably finished three the past three four years so we're pretty excited about that. Oh excellent yeah yeah and as far as like the gender equity kind of clause of the the NCAA that means that we have equal representation of men and women how does that specifically work out. Yeah you're touching on it part of it has to do with our relationship to our to the university as whole. So for our university population and I don't know exactly what the number is if we have 55 percent women and 45 percent men then our athletics program should reflect that. Okay we should have 55 percent women participating in sports and then 45 percent in men's sports. For us we have six men's sports of the 14 and then eight women's sports so for our numbers it comes out to it's very similar very close to what the university numbers look like. And you were saying earlier you know like HPU and and probably Hawaii institutions as a whole it's attractive because it's in Hawaii but I mean there's also the distance for traveling for student athletes is that a challenge. It is it is I mean that's you know it's a it's a plus and a minus depending on you how you look at it I mean our student athletes they love to travel so then it's a plus. They get to go all around the country to compete and represent the university. For the old guys like me maybe you know you get tired on a five-hour flight or whatever it is sometimes you know it just kind of wears you down but overall it's what we do it's it's how we compete. There are four university five universities in Hawaii four of them that you know are in our division so we we have a healthy rivalry with the Hawaii schools. Okay and good physical conditioning I guess. The thing is I mean this is new but in the past they didn't have I guess frequent flyer miles and all of that right at least I don't remember that they used to have it but now kids are getting to keep their frequent flyer miles and whenever they travel they're banking those miles and those are going to turn into something down the road especially when you live in Hawaii and you have to go to California two three times every year that's you know that's nice right bring mom bring mom and dad to Hawaii then on your on your miles. Yeah that's a nice perk yeah yeah yeah and how does athletics help benefit the students particularly the student athletes and the University of the whole. I've always felt that you know athletics is is an integral part of the university you know and it does a number of things I think that you know the main one that we not normally see on television and in sports games the school spirit really brings pride to be in a part of the university when your teams are out there competing and winning and representing you. I also think that it adds you know some advertising right so for a university that's out there that you know that's focused on enrollment and wants a healthy enrollment base you know student athletes and athletic programs are out in the news and and they're in the paper and the TV and radios and that helps drive enrollment for the university. You know there's some revenue you know sometimes you're selling tickets you're selling parking you're selling you're making money as a result of athletic programs you're selling shirts and things so that's revenue for the for the athletics program in the university and then I think the other one is that you know it's this diversity side you know athletics brings a unique set of individuals to a school right if if it's basketball you're seeing a lot of tall people or volleyball gals you're seeing a lot of tall and you know so you get this diversity not only in in ethnicity but it's also in in culture and lifestyle I mean they've been in sports for many of their years so you add that to the university and it really helps. Yeah and and you know it seems like also it provides because it is tied to some scholarship money it provides the opportunities for some students who might not otherwise go to university. Yes that's a great one that's a great one right there alone I mean you know it's college is expensive and you know financial financial help and scholarships are a big driver. Yeah and it seems that yeah a lot of you know there's they're it's an amateur you know we have an amateur orientation in the NCAA but you know it's still it's something that they're committed to that they need to structure their you know their schedules and their lives around. It's a full I mean for our student athletes they have to juggle school they have to juggle practice they have to juggle competition they have to juggle travel they have to juggle social life right damn we want them to go out and do things they have to juggle community service because it's important that our student athletes are out there helping the community so they have a lot in the course of a day and over the course of a semester so yeah we're proud of the kids that we have at HPU because they can balance it all. Good training for success in the after graduation life. Yeah the kids right now they're very impressive right and it helps because at the end of the day we're developing them and getting them ready for after they graduate. Yeah so that's some interesting yeah interesting points so when we come back from the break we'll talk a little bit more about yeah some of the student successes after graduation. Fantastic. Okay thanks Ben so stay tuned we'll be back in just one minute back to global connections. Hi and thanks for watching Think Tech Hawaii my name is Justine Espiritu and I host the Hawaii Food and Farmer series with my co-host Matthew Johnson of Iwahu Fresh. Every week we bring on farmers as well as all the other individuals and organizations that help support a thriving sustainable food system. In fact it's interesting to learn what others are doing so you don't have to be a Hawaii resident or producing food on Hawaii to be featured on the show like today's guest Wyatt Bryson of Jewels of the Forest and Michael Lab Solutions. Aloha thank you it's been a pleasure being on the show I love seeing what you guys do and I really support your mission and it's really nice being back in Hawaii and thank you again it's an honor. So you can see guests like Wyatt every Thursday at 4 p.m. on Think Tech Hawaii thank you. Welcome back to global connections I'm your host Grace Chang and I'm joined here today by Vince Baltimore the athletic director at Hawaii Pacific University and we're talking about college athletics and its global reach so welcome back Vince. Thanks good to be here. Great and we were talking about how much college athletics can contribute to a student's success after graduation. Yeah how are students doing do you know like keeping track of students what they do as far as athletic or professional after they graduate. You know in school we try to do as much as we can to help and support them because it is it's a difficult time I mean you're a young person from 18 years old on up you might this might be the first time you're away from home might be the first time you have a bank account I mean so there's a lot of change and in addition to it they have all the responsibilities that we talked about earlier of practice and community service and so it is kind of overwhelming but I think our athletics department and most athletics departments are there to support and really kind of nurture the student athletes so that they are some of it they have to do on their own right they have to pay their own bills they have to figure out a budget on what to eat and what not to eat right some of those things. But at the end of the day I think you know we do a good job of really being there and not enabling them but just kind of always being there ready to help. Academically you know they have to go to class they have to they have to take their tests I mean you know that's a part of growing up as part of the college experience. Yeah I mean you know and there is there have been like historically not too recently but historically like with some cases right where where maybe there has been some dissatisfaction with student performance in some universities and on the mainland some kind of well publicized one but yeah it seems that most programs if you have the proper support is a good you know kind of a good format for for getting students prepared for you know independent adult life in this transition. I think so and I think the the advantage that HPU has is that not only will you be prepared for life but you're going to be prepared for the world.  You know some of the kids that we've seen have come over from the mainland they've never met somebody from France, Spain, Germany, Australia. They've never now they're living with them they're going to school with them they're practicing with them they're understanding so this really kind of broadens their perspective and really makes it stronger for them. And we have students from student athletes from Japan as well and and where else it seems like a good representation. I did a search the other day we probably have 18 to 20 countries represented in athletics. I think our largest large student athlete population groups are from Australia, Spain and Germany but we go through to Japan and Taiwan we had Kenya we have I mean just it's all around the globe but I mean the Sweden I can't I there's so many different countries there's at least there's 20 of them and it's neat because when we have a staff coaches meeting and we get everybody together I mean you don't know what languages speak yeah that's good they can bone up on yeah their language classes at home. We did a video we try and do a video for HPU athletics and it's on our website that it's kind of a Christmas video right you know Merry Christmas everybody so we had a bunch of students and they all said Merry Christmas happy holidays in their language okay and it ran two to three minutes long because you have a lot of different languages represented interesting and how about recruiting the international recruiting how what are some challenges and what are some you know interesting insights from that process you know there's recruiting is always about access and money right I mean if you can go to that country and meet with the parents and build a relationship and you know there are many schools that can can invest in that ours is a little bit different strategy I mean we're a little bit more I guess efficient in how we we recruit our coaches are mostly word of mouth it's you know internet if it's phone calls if it's emails those kind of things but also because HPU has a reputation for international visibility the name goes a long way so when a coach from you know HPU says he's in Germany I mean kids know the the university so it also helps it's it's a little bit of a team effort you need you need a lot of people involved to make it to make it work but I mean it's it really it's a part of what we do it seems you know over the years if you're in downtown Honolulu right and you can hear HPU students speaking all different languages but there seems to be you know the representation from different languages changes right in the past and especially in the athletics I recall you know there were many students from former Yugoslavia background Brazilian background but that you know yeah the representation kind of shifts around over time is the market you know like as far as you know the looking at different countries and and you know are there certain countries that provide maybe more athletes and certain certain types of sports and so forth there are I mean some sports some countries have more more focus on some sports than others I think for us you know our it it starts with a coach right and if the coach has connections in Brazil there he or she is gonna work in Brazil and work on student athletes from that country it's about relationships at the end of the day you know I think when when parents are entrusting their kids to come to Hawaii and they're far away it's all about do I trust the coach and they take care of me is the school gonna take care of my son those types of relationships so I think for us you know our coaches are really our coaching staff is pretty diverse as well I mean we have a number of them that graduated with multiple degrees from HPU if it's their undergrad and their their graduate degree but it's it's an international makeup of you know all different countries as well so that helps they can always call home yeah sounds like kind of an intimate network right the people homegrown in the university and then reaching out to the network they have personally it is around the world it is I mean there's you know when when coaches are recruiting there is no end to the emails that they're getting you know for our university we're visible so you know an 18 year old in any state in the US versus any country overseas will look at HPU and say I think I can play volleyball or baseball or basketball there so you have this email this community this communication back and forth and you know it's it's just about the right timing the right the right coach and you know the right partnership mm-hmm so what I mean you know we talked about Hawaii having Hawaii's appeal but as far as international athletes you know what appeals to them about the NCAA system in particular because they could play at home you know and get paid for it right in government sponsored or club or other you know what what makes the NCAA system kind of that's a great question I I I think part of it has to do and in this I only speak from what I've seen at HPU mm-hmm every situation is different across for every student and every university but the students that we bring to HPU are adventurous they love they love the fact that Hawaii is 2,500 miles minimum from anywhere else they love the natural beauty they love to be able to go on hikes they love to travel they did a little bit more mature they may not be 18 years old they may be a little bit older and they're talented they're academically and athletically capable so I think that that's what we've seen that's the kind of student-athletes that we recruit because you have to be a little bit mature to live on an island in the middle of the Pacific and manage all these things so that's that's what our coaches go after mm-hmm and and 20% of the HPU athletes are international and so does that pose any challenges as far as you know within the teams within the program or what are some of the advantages as well and benefits it is a little bit of a challenge because you are you know every team is a family mm-hmm right and every family you have different dynamics and you have you know I mean you sometimes have clicks among bigger teams but I mean that's that's a part of what the coach's job is to create at the end of the day at the end of the day a family that's going to go out and compete against other schools and I think that's the plus side because it makes it you know exciting when all of a sudden you have all these different cultures together that may not communicate in the same language but they're out there winning mm-hmm yeah and they might have done things different ways but I'm assuming in many sports like the training the everyday practices are sort of similar have you encountered you know different different kinds of practices some of them are yeah right I mean you know the most of the sports are pretty they've been around for a long time right there's been tennis for years and basketball for years and everybody takes best practices of how best to train and how best to eat and how best to mental toughness and all of those and they share it from you know from era to era mm-hmm I think that you know for us that's what everybody does right and it makes it you know it makes it fun it makes it challenging but it you know also makes it a little stressful at the same time yeah it sounds really interesting to have such yeah such a diversity in in I mean and these are people you see you know in the classroom you always have different people coming in and out every semester but when you're on a team it's it's much more kind of sustained contact with a group of people it really is kind of like a family or a very close-knit community after a while mm-hmm very much so and so what's happening these days with HPU athletics that that might be of interest to well we're in the spring season so this is February and men's and women's basketball are doing great a great job out there the representing us very well men's I think is in the top five in the country mm-hmm women are competing hard baseball and softball has started our national champion men's tennis team starts the season now to defend their title they won a national championship last year so and what golf is out there so the spring sports are in full force they're out there on the fields and in the courts practicing and also going to your class and all the other classes that they they go to so it's a busy spring for us mm-hmm and do we ever have teams go internationally for you know for exhibition or you know like the NFL goes to England yeah no great I mean we we just did last year in June end of June early July our basketball team was invited to compete in an international basketball tournament in Seoul Korea oh wow mm-hmm an amazing experience and it was it was great to watch because we had some boys that were from Ohio that had never been out of the country wow to see them eat kimchi was pretty funny they didn't know what it was they just you know this is a growing experience for them we took them around and there's educational cultural opportunities that they really got to see a foreign country at the end of the day that was you know they'll always remember that but you know they also competed and you know our team under coach V and the coaching staff they won the tournament mm-hmm so we brought back a trophy from Korea and boys they're very proud of them they're in Hawaii never had kimchi what do you guys feed them right so they never even this is like their first trip so yeah yeah so they're yeah their diets here get to yeah they get to try a whole range of all these people that's exactly all over the world there yeah well really that's really fascinating yeah so the international recruitment really provides kind of an interesting dimension to the athletics program HPU and yeah and helps contribute to the university's diverse student population very very unique aspect I think of the whole I Pacific program yeah we're proud to be a part of HPU great well thank you so much for coming on the program Vince thank you Grace this is great I hope I didn't screw up for you this was great fun I loved it it was really fun talking to you yeah I always feels like you know we never have enough time like 500 questions in my head but okay save it for next time we'll do all right thank you so much Vince thank you okay thank you all for tuning in to Global Connections I'm your host Grace Chang and I've just finished talking with Vince Baltimore athletics director of Hawaii Pacific University see you next time Thursdays at 1 p.m. Aloha


I'm gonna look up Jane the other day to see if I can get a nail picture and play some tennis. Honestly, it's going on everyone. Sam here with LaytonSport Scratch from 23. Bowman's best hobby, eight box case. Bowman's best baseball hobby, eight box case, number 10, random team style. Here's a look again at your random results as always you can find these on the website. Under the results tab as well as the link in chat. We're gonna do guess the super fractor now. Guess the super fractor. I'm gonna type in guesses start now. All you have to do is guess a player in the checklist. If we hit a super of that player you will win a hundred and ten dollars. Guesses start now. Jumbo, you only get one guess. One guess. Jumbo DS. Go ahead. Okay, Shane said Purdy. All right, Shane's out. Shane's not gonna win. Oh, there they go. Oh, there they go. And again, if someone is guessed twice then it will be the first one. About 15 seconds. Somehow you guys are all getting different people. Mitchell guess and Mitchell. Okay.  About four seconds, three seconds, two seconds, one second. All right, guesses are closed. I'll give you about five seconds to come in. Five, four, three, two, one. Guesses are closed, everybody. So anybody in the sandwich now will be valid. So good luck, everybody. Let's get started. Let's go. Here we go. I think they guessed everybody in the checklist. Pretty much, yeah. No, Shane. We saw Purdy first. You can't sneak in Harris. Yeah, no. We saw Rock Purdy. We saw, you say Purdy right when he started. All right, I understand. Cool. Are you live tonight, Donnie? Yeah, we're live. Let's go, baby. No one, one printing please. Beboop. Hi, Donnie. And she was live yesterday. Let's go. Yeah. Beboop tonight? What was he playing yesterday? Beboop. Oh, he's playing 2K23 yesterday. That's a lack of Jackson Holiday. That's right. Fell in the cellist then. Beboop. Super is due. That's right. Shady. It's time. Anthony Volpe. Nelson. Radha. The Angels. Radha. And Marcelo Marseille. Everybody doing it. Today? No, it was. You're stealing my stuff now? Cam Collier. Good Lord. Copyright. I'm going to start trademarking them. 2199. Edward Julian. Josh Julian. I'm just glad. No, honestly I'm glad that it continues to live on even though I'm not here. I'm just ubiquitous. Sticks are ubiquitous. You stick with us. Let's go. We're just firing today, Sean. We are on one today, everybody. We're on one. Brett Beatty. Someone help me. Lazaro Montez. And Christian Yelich.  I don't know, man. You're lucky, though. That was in De Los Santos. Jacob Melton. That's funny. I swung there for the Astros. Get out of here. Go home. Jeremy Pena. Please. Just jump off the roof. Whatever you want to do. There's masterpieces of Shohei. We've got Erie Perez, Astral Projections, and Zeke Otovar. Someone help me. Jake. Dude. Go home. Kodaisengo. We've got Shalact of Matt Shaw. Shalact. And Grayson Ryder. Sean's looking for a weapon right now. I got one. That is Bryce Harper. That is Devis and De Los Santos for the good old Diamondbacks and Shohei. Nick T, pick up the Seahawks in number five. Appreciate you, buddy. Yeah, head over to channel two. Spencer Bile means head to channel two, buddy. Shay Langlers. Jordan Bill. Jordan Walker, a fracter. Please. Xavier Isaac, Norhei Vera, Randy Johnson, and Luis Guanipa. I would say for numbers, stuff you can do like gold and under for non-autos. For this one, I don't think there's been one yet. Marcelo Maier, gold, Michael Harris, Otto, 30 of 50. Congrats, Atlanta. There we go, Braves. Manuel Bonilla. I don't know if he's got both names in this set. Jeremy Pena, Manuel Bonilla, and Tommy Troy. Well, too bad it won't count, so... Oh, well. Max Clark, Otto. That'd be dope. Kale, do you have them in this one? Yes, you do. Let's go, Kale. That is many diamonds of James Outman. Shalact of... Is that Troy? No, Drew Jones and Jordan Alvarez. Randy Maier. No, it is a red. Five of five, Axel Sanchez. There we go, on the red lava. Congrats on that one there. Mariners. Very nice. Get that into a mag. Good stuff there. Seattle and Francisco Alvarez. Thank you, Brian. Closing us out on mixer number two. Mixer number three is what we're looking to fill up now. We've got 16 to go. 16 to go on number three. Mixer number three. Wave, Chris Bryant and Casey Schmidt. Davis Martin. Gold lava fell in Celestyn to 75. For the Mariners and Bobby Miller refractive. Edward Julian. Dernichy Valdez. Nice one there. And Jacob Wilson. I don't think any of us choose tobacco now. I don't. I mean, I have to pass, but I don't... Every now and then. Riley Green. Astral projections of Oscar Coloss. We used to all the time. Yeah.  I've done that before, but other than that, I don't like it. Why do you send me some dip? The Guero Chalact of Salis and one Soto. Oh, did you make that red auto? Close to Montgomery. That's Henry Bolt's base auto. Nice one there, Aaron Judge. Yeah, I've heard about those things, dude. I don't like... I'm not a fan of them.  I heard they're really good, though. That is Tommy Troy to 250. That's a different kind of dip. I dip. I dip. That is Tyler Freeman, Randy Johnson. Thank you, Matthew, for picking up a spot. Number three.  Those things, you don't have to spit or nothing, do you? No. Matt Shaw, Hector Rodriguez. Nice one there for the reds. I'm going to hop on those. What? I'm going to hop on those.  And Adley Rushman. Yeah, back five of the dip. That is Shalak Jordan Walker and Nolan Aranada. That is Hoppy Baez, Axl Sanchez, Gold Lava Auto to 75. Going for the rainbow there. Yo, Andrew Vargas. She's there. Hell yeah. Very real reel of Michael Harris and Colin Hough. These great weddings. Carlos Perez.  Wyatt Langford to 199. Michelle, I'm like me? I'm like me. You're just going to stick in the mud and sit over there. Probably would be. Yeah. Rice Harper, Michael Arroyo. Nice one there. Auto for the Mariners. Just invite me, Shady. Don't invite Sam. Anthony Rizzo. Surely not a joke, good lord. Ashley Projections, Yoshida and Edward Pooley and Rookie. What did it smell like in there? The back end of a horse. It was a Corbin Carroll shellacked. Did you name a bigger group of offsets in there right now? No, not going in there. It was the Mariners, Ronnie. The Mariners, Axl Sanchez. Myroshentric Martinez, Baez Auto. Nice one there for the Dodgers and Todd Bradley. Got a wave of Kodaisenga. Seattle. Hello, Shorts, the icy Pacific Northwest. What up, Shorts? Collier Minidiamonds on the shellacked. Drew Jones and Brando. It's snow in here. Hello, Macaroon. There he is. Blue. Manual Bonito 150. What up, Macaroon? And Chase Delotter. Baez Auto for the Gadians. We've got four feet of snow here today. Got a hundred percent, yeah. Negative eight right now. Masterpieces, Anthony Volpe. That is Hunter Brown. And say SSU. What'd you shoot? I can't stand here if you shoot. I'm in Chicago. My God, bro, I bet. I was going to say I bet it is. We've got four feet of snow here today, too, so we feel you. Florida. Orlando. Yeah, Orlando. Four-footer. Martin with a spot number three. That's getting close to being in a single digits now. Shellacked of Yoshida and Spencer Jones. 64, Carson. Blue. Good lord. Waldo Cabrera to 99. Green Minidiamonds. There's Auto Kenny Gomez going to Houston. Congrats, each town. Real to real, Adley Rushman. Real to real, Jackson Holiday Minidiamonds. Lucas Geolito and Carlos Correa. Kind of random. Yeah, it's like negative 20 here. Rep 80. Hector Rodriguez, Green Auto to 99. For the Reds. We almost had the call of snow for the other day today. Thank you, Derek. Appreciate that. We all didn't have our four-by-four trucks. Yeah. Mark, I'll drop you the link to the break schedule. We're sold out up until about 7.50 right now, some 50 Eastern time, which is the first break with spots is Bowman Draft Jumbo and Bowman's Best Four Box Mission Number Three. Corbin Carroll, Justin Crawford, and Hobby Bios. Going to Omaha on Monday, but are freaking warm up there. Quick. Omaha. Hostakes. Shellacked of Brando Maella, my trout refractor. Wilson Blue, Randy DeJesus to 150 for the Angels. That's out of there. And Oscar Colas. Wave, Bobby Whit Jr. Mini Diamonds, Drew Jones to 299.  Michael Toddlia and Keelanza. Corbin Carroll, Javier Osario. Prospect Auto for the Tagus. That's Tagus. And Leo Vergueiro. Billy, picking up the Chargers at Number Five. Eric T, with a spot at Number Four. Thank you, buddy. Thank you both. Appreciate that, guys. These are Riaz, Anthony Volpe, and Drew Jones. Out there right now. Longier, with a spot in Bowman's Best University at Basketball. First Kaboom is going to be Puka tonight. I'll be in on that. Victor Medeiros. Mini Diamonds, Randy Johnson. That is Shellacked of Colin Hauke. Audre Montes. Matt Shaw. Ace Auto, Brandon Maella. So yeah, we do have both the Brando and Brandon Maella. There you go, Yankees. Crass on that Yankees. And Shay Langlairs. Mike Trout. And Kodaisenka. Mini Diamonds, real or real. It is Tristan Kossas. That is Max Muncie. And Bobby Whitt, Jr. One of one Superfractor. Astoria Ruiz. The bounty is there. Let's go. That's it. Oakland. X Zang. Congrats, buddy. 475 coming your way. Astoria Ruiz. Astoria Ruiz. Hell yeah, man. Oh, we got him right here. We do? Right here. Who was it? DZ. DZ. Right? Is it below, right? Yeah. Astoria Ruiz right here. DZ. No way. DZ. Yup. DZ got it. DZ got the 110. Let me see if there's anyone else too.  Let's go. Let's go. DZ. Is that DZ? Did you have the A's and guess Astoria Ruiz? No way. That's incredible if that's the case.  Shoot us an email, DZ. Shoot us an email. Guess Ruiz. Holy cow. That's smart, though. LaneSportsCards at gmail.com. Just shoot me an email just to be safe if that's cool. Thank you there, Mr. Jeremy. Picking up the bucks in 3, 4, 5, 6. Yeah, DZ. Let's go, DZ. Hell yeah, man. Let's go. Votto to 25. And then Elijah Green. Let's go. All right. Now, if another super is hit in this case, it'll go back down to 275. So if somebody hits a super in this case, it'll be 250. Excuse me. 250. And it'll start at 250. That's enough. Let's go, man. DZ. Congrats, brother. That's freaking awesome. You're on Alvarez. That is Michael Harris Rookie and Chris Bryant. This all day. There it is. 101 Super. You can barely tell that's a super. Good stuff, man. 475 and 150. Or 110. Chalact of Yoshua De Paula, Green, Ramadukunya Jr. 299 and Fernando Tatis Jr. Trout, Otto of Edward Julian. Nice one there. It's Wins and Bo Vichette.  Petalanzo, wave of Paul Skeens and Christopher Morrell. Let's go. Thanks, Xen. Appreciate you, buddy. That is Logan O'Hoppe and Davison De Los Santos. That is Jordan Beck. Refractor Otto for the Rockies and Yoshua De Paula. Jordan Walker. Masterpieces. Zeke Tovar. And Mini Diamonds, Juan Soto to 299. Refractor Paul Skeens as well.  This is sweet. 101 Super. 3 Ruiz. Unreal, man. Hello, Dan. The Wise Man. Chalact of Jackson Churio. That is reel-to-reel Ethan Solis to 50 on the lava. Super was hit. Yup, the caro. No problem, DZ. Thank you, buddy. Juanipa Braylor Guerrero. Bass Otto. Congrats, Raze. Jazz Chisel. Joseph. Reel-to-reel Brandon Maia. Joseph. Wow. As we skunked on everything. Exactly. We come in and we do the job. Lane, Kevin Moreno and Matt Flane. That's on the bounty hitter. DZ. DZ. DZ, double and up. Yeah, he doubled up. I heard, I heard. That is Dernichy Valdes. Reel-to-reel to 150 on the auto. Nice one there, Cubs. It was actually a smart bet to bet on the team that you ended up getting. That's what I'm saying, man. That's what I would do now that I think. I wouldn't even think of that. But now that somebody's done that and like that's genius. That is a smart move. That big brain game. That is A, Ethan Solis. Purple. Jordan Alvarez to 250 and Gavin Moreno. Yes. Everything resets. We're back down to $20 on Guess the Super Fractor and we are back down to 250 on the Super Fractor bounty. It resets. But it'll continue, I mean, it'll continue rolling as well. So if we don't hit another super next break, it'll go to 275 and then 300, so on and so forth. Harris Chalact and Michael Harris-Rookie. Gabriel Rinconis. Bass Auto for the Fills and Zack Neto, Refractor. You gonna be rockin' that? What? You gonna be rockin' that? That is a Los Romanzos. That's Los Romanzos Rodriguez. Max Clark to 250. I know. CJ Abrams. Oops. Nice. Junior Kevin Aro to 250 on the Chalact Auto and Grats Race. They're fire. They're nice. No, see, I'll tell you. Matt McLean. That's one there. And Enrique Bradfield. Yeah. I'm rockin' it. Come on, I don't believe it. Good luck, sir. I love my kids helping. That's awesome. I'm in. Channel 2 is live. I'm not worried about the races. No, like in terms of them. Select by Joe. Hopefully not. Blue Masataki or Shido to 150. Yeah. Yo, Enrique Vargas, bass auto. Nice one there. Dodgers. And Anthony Volpe. Cure Jones, reel to reel. And James Altman. Later. Bradley Caleb Killian. And Tristan Casas. Just us now, just us and them. Those speakers. Gunnar Henderson. Lazaro Montez to 150 on the Blue Auto. Nice one there. Mariners. Sean with the Raiders in 1 and 2. Thank you, buddy. We got a one team left. And the first absolute everybody. Jordan Walker and Brett Beat. Yeah. Skeens. Yeah, I guess. Yeah, I would say. I don't have like a huge PC. Henry Bolk. But I mean, I buy and sell everything. Every minute of the show. Thank you, Derek. Picking up the Lions in 3 and 4. Appreciate you, buddy. Shoes, hats, clothes, cards. Pokemon, you name it. I've been to all of it. Wave Yosue de Paula. That is a Shea Langler to 99 for the athletics and Brian Rocky. Tocque, I got a bunch of sealed stuff. That's what I asked. Yeah. Thomas sealed stuff. Ezekiel Tovar. Max Clerk, refracta. Peña, Ezekiel Tovar. Colby Thomas, refractor, auto for the A's. And Roger Garriott, refractor. Although I haven't started a pretty dope dolphin collection with everybody giving me dolphin cards. Oh, yeah. It's a pretty fire collection now with all this stuff. Hell yeah. Hell yeah. Marino, flawless auto. Actually, Harper gave me two of the dopest cards I got. That friggin' Bob Greci patched the old school dolphin logo, which is sick. That is dope. And he gave me my Marino flawless auto. Yeah. Sturri Ruiz. Guest by DZ, a.k.a. X-Zang, who also has the A's in this break. So X-Zang doubled up for a total of it was at, what, 475 and 110? Yeah, but it's all sealed. Nolan Gorman refractor. Kaden Wallace auto. X-Zang picking up insurance. I love it. Rio de Rio, Justin Crawford, and Jacob Gonzalez. Tommy Troy, Corbin Carroll, Randy Johnson, and Junior Kamino. Mini diamonds, Ethan Salas. 2, 299. We got to miss their Samuel Bessio for the oreals. And Matt Olsen. Gavin Marino, James Altman, and Rafi Devers. Get 600 in break credit, exactly. It's awesome, dude. It's freaking awesome. Thank you. Eric picking up a spot in three and four. X-Zang got your insurance. Thank you, buddy. That is a Elijah Green, Anthony Volpe to 250. And one person. Refractor for the dolphin for your PC. That is Jacob Reimer. Nice one there for the Matt's on the auto. Logan O'Hoppy. We go with Cabrera. Wave of Miggie and his Waldo Cabrera. That is him of Masataki Oshida. Him. Victor Medeiros and Matt Shaw. Ew. I just think. CJ Abrams. Drenifu Valdez. Congrats on that one there on the refractor auto for the Cubs and Jackson Shurio. Francisco Alvarez. We go with the National Projections. Boba Shet to 99 on the Green and Vladi Guerrero Jr. All right, quick recap here, everybody. We had Gold Lava to 75. Every two cases for Pat. We hit two so far, actually. One in the last one. We hit one in this one, which is pretty awesome. The Hymn. Feldman Selliston. To 75 to 25. Joey Vado. Can you grab that Hymn? Oshida really quick and just maggot. Hector Rodriguez to 99. To 75. Axel Sanchez to 50. Michael Harris. Bassados. Drenifu Valdez. Jacob Reimer. Samuel Visayo. Caden Wallace. Colby Thomas. Henry Bolt. Eondry Vargas. Drew Kaminaro to 250. Gabriel Rouran-Cones. Drenifu Valdez to 150. Braylor Guerrero. Jordan Beck. Edward Julian. Elijah Green. Randall Maia. Javier Osario. Kenny Gomez. Chase De Lauder. Mero Chandra Martinez. Michael Arroyo. Hector Rodriguez. Henry Boltz. Drenifu Valdez. Davison De Los Santos. Jacob Melton. Nelson Rada. Red Wave to five. Axel Sanchez. And one of one. Super Fractors. Two of Ruiz. Congrats again. X Zeng. Picking up the Super and picking up the Super Fractor Bounty. So that'll do it for the break. Everybody thanks again for the pill. Up next is Render Division Style. Render Division Style. Render Division Style. Render Division Style. Render Division Style. Render Division Style. Render Division Style. Render Division Style. Render Division Style.


Hi, this is Steven Nesheba, and I'm just recording a short video on how to activate Solver in Excel and I'm in the VDesk environment here, which is where you ought to be and in order to activate the Solver, what you do is go here to File and down here there's this thing called Options and other under Options you go to Add-ins like this and somewhere along here you ought to be able to see something called Solver Add-in. At that point you need to say go and I had already clicked this before, but you would click this and you say okay and when it does install it for you properly, you'll know because you can go to Data here and you'll see something called Solver over there. Okay.


And we're back, this is George Gilbert from Wikibon and I'm here with Amon Neymot at Demand Base, the pioneers in the next gen AI generation of CRM. So Amon, let's continue where we left off. So we're talking about natural language processing and I think most people are familiar with it more on the sort of B2C technology where the big internet providers have sort of accumulated a lot of voice data and have learned how to process it and translate it into or convert it into text. So tell us how B2B NLP is different to use a lot of acronyms, in other words how you're using it to build up a map of relationships between businesses. Right, yeah, we call it the demand graph. So it's an interesting question because firstly it turns out that while very different, B2B is also language is quite boring. It doesn't evolve as fast as consumer concepts and so it makes the problem much more approachable from a language understanding point of view. So natural language processing or natural language understanding is all about how machines can understand and take store and take action on language. So while we were sort of working on this many years ago, I think now four or five years ago and that's my background as well, it turned out the problem was simpler because human language is very rich and natural language processing converting voice to text is trivial compared to understanding the meaning of things and words which is much more difficult or even the sense of the word. Apparently in English each word has six meanings, we call them word senses. So the problem was certainly simpler because B2B language doesn't tend to evolve as fast as human regular language because terms stick in an industry. The challenge with B2B and why it was different was that each industry has or sub industry has a very specific language and jargon and acronym. So to really understand that industry, you need to come from that industry. So if you go back to the CRM example of what happens in the 10, 20 years ago, you would have a sales person who would come from that industry if you wanted to sell into it and that still happened in some traditional companies. So the idea was to be able to replicate the knowledge that they would have as if they came from that industry. So it's the language, the vocabularies and then ultimately have a way of storing and taking action on it. Very analogous to what Google had done with Knowledge Graph. Okay, tell us. All right, so two questions, I guess. First is, it sounds almost like a translation problem in the sense that you have some base language primitives like partner, supplier, competitor, customer. But that the language in each industry is different. And so you have to map those down to those sort of primitives. So tell us the process. You don't have on staff people who translate from every industry. I mean, that was the whole translate or writing logical rules or expression for language, which was conventional or Goddow fashion AI is called. You mean that this was the rules based on knowledge engineering. That's right. And that clearly did not succeed because it was impossible to do it. The old quip, which was one researcher said, every time I fired a rules engineer, my accuracy score would go up. That's right, and the problem is because language is evolving and the context is so different, right? So even pharmaceutical companies in the US or in the Bay Area would use different language than pharma in Europe or in Switzerland. And so it was just impossible to be able to quantify the variations and To do it manually. To do it manually, it's impossible. It's only not possible for a small startup. And we did try having it be generated. And in the early days we used to have crowdsourced source workers validate the machine. But it turned out that they couldn't do it either because they didn't understand pharmaceutical language either, right? So in the end, the only way to do that was to have some sort of a model and some seed data to be able to validate it or hire experts and have small samples of data to validate. So going back to the graph, it turns out that when we've seen sophisticated AI work towards complex problems. So, for example, predicting your next connection on LinkedIn or your next friend or what ad should you see on Facebook, they have used network based data, social graph data or in the case of Google, it's the knowledge graph of how things are connected. And somehow machine learning and AI systems based on network data tend to be more powerful and more sort of intuitive than other types of models. So, okay, so when you say model, help us with an example of you're representing a business and sort of who it's connected to.  So the demand graph is basically, it's demand based, who are our customers, who are their partners, who are their suppliers, who are their competitors and utilizing that network of companies in a manner that we have network of friends on LinkedIn or Facebook. And it turns out that businesses are extremely social in nature. In fact, we found that the connections between companies have more signal and are more predictive of acquisition or being predicting the next customer than even the Facebook social graph. So it's much easier to utilize the business graph, the B2B business graph to predict the next customer than to say, predict your next friend on Facebook. Okay, so that's a perfect analogy. So tell us about the raw material you churned through on the web. And then how you learn what that terminology might be. You've bootstrapped a little bit. Now you have all this data and you have to make sense out of new terms. And then you build this graph of who this business is related to. And the hardest part is to be able to handle rumors and to be able to handle jokes like, isn't it time for Microsoft to just buy Salesforce? Question mark, smiley face. So it's a challenging problem. But we were lucky that business language and business press is definitely more boring than people talking about movies or. Or Reddit. Or Reddit, right? So the way that we work is we process the entire business internet or the entire internet. And initially, we used to crawl it ourselves, but soon realized that Common Crawl, which is an open source foundation that has crawled the internet and put at least a large chunk of it, and that really enabled us to stop the crawling. And we read the entire internet and look at, ultimately we're interested in businesses cuz that's the world we are in business, B2B marketing and B2B sales. We look at wherever there's a company mentioned or a business person or a business title mentioned and then ignore everything else. Cuz if it doesn't have a company or a business person, we don't care, right? So, or a business product, so we read the entire internet and then try to then if you infer that, hey, this is Amazon is mentioned in it. Then we figure out, is it the Amazon company or is it Amazon the river? So that's problem number one. So we call it entity linking problem. And then we try to understand and piece together the various expressions of relationships between companies expressed in text. Could be a press release, it could be a competitive analysis. It could be an announcement of a new product. It could be a supply chain relationship. It could be a rumor and then we also, it also turns out the internet's very noisy. So we look at corroboration across multiple disparate sources. Interesting to decide, it's sort of how. Is it true? The signal, is it real? Right, cuz there's a lot of fake news out there. So we look at corroboration in the sources to be able to infer if we can have confidence on this. I can imagine this could be applied to. A lot of other problems. Political issues. So, okay, so you've got all these sources. Give us some specific examples of feeds, of sources. And then, and help us understand, cuz I don't think we've heard a lot about the notion of bootstrapping. And then, it sounds like you're generalizing, which is not something that most of us are familiar with. Who have a surface level familiarity with machine learning? I think there was a lot of research, not to credit Google too much, but there was a bootstrapping methods we used by Sergey. I think it was the first papers. And then he gave up cuz they found Google and they moved on. And since then, in 2003, 2004, there was a lot of research around this topic. And it's in the genre of unsupervised sort of machine learning models. And in the real world, because there's less labeled data, we tend to find that to be an extremely effective method to learn language. And obviously now with deep learning, it's also being utilized more unsupervised methods. But the idea is really to, and this was around five years ago when we started building this graph and I obviously don't know how the Google Knowledge Graph is built, but I can assume it's a similar technique. We don't tend to talk about how commercial products work that much. But the idea is basically to generalize models or learn from a small seed of, so let's say I put in seed like Nike and Adidas and say they compete, right? And then if you look at the entire Internet and look at all the expressions of how Nike and Adidas are expressed together in language, it could be, I think Nike shoes are better than Adidas. So it's not just that you find like an opinion that they're better than, but you find all the expressions that explain that they're different and they're competition. That's right. But we also find cases where somebody's saying I bought Nike and Adidas, or Nike and Adidas shoes are sold here. So we have to be able to be smart enough to discern when it's something else and not competition. Okay, so you've told us how this graph gets built out. So the suppliers, the partners, the customers, the competitors. Now you've got this foundation. And people and products as well. Okay, people, products. You've got this really rich foundation. Right. Now you build an application on top of it. Right. Tell us about CRM with that foundation. Yeah, I mean we have the demand graph in which we tie in also things around basic data that you could find like form of graphics and intent that we've also built. But it also turns out that the knowledge graph itself, an initial intuition was that we'll just expose this to end users and they'll be able to figure it out. But it was just too complicated, right? It really needed another level of machinery and AI on top to take advantage of the graph and to be able to build prescriptive actions. An action could be, hey, I'm looking for, to solve a business problem. A problem could be I'm looking for, I'm a startup. I'm looking for IoT startup. I'm looking for manufacturing companies who'll buy my product. Or it could be I am a venture capital firm. I want to understand what other venture capital firms are investing in. Or hey, I'm Tesla and I'm looking for a new supplier for the new Tesla screen or things of that nature. So then we apply and build specific models, more machine learning or layers of machine learning to then solve specific business problems. Okay, so. Like the reinforcement learning to understand next based action. And are these models associated with one of your customers? No, they're general purpose, they're packaged applications. Okay, tell us more about, so what was the base level technology that you started with, in terms of being able to manage a customer conversation? A marketing conversation? Right. And then how did that get richer over time? Yeah, I mean, we take our proprietary data sets that we have accumulated over the years and manufactured over the years. And then co-mingled with customer data and actually, which is we keep private. Because they own the data and the technology is generic. But you're right, the model being generated by the machine is specific to every customer, right? Obviously, the next best action model for a pharmaceutical company is based on doctors visiting and what is this person an oncologist or what they're researching online. And that model is very different than a model for demand base, for example, or Salesforce. Is it that the algorithm is different or it's trained on different data? It's trained on different data. It's the same code. I mean, we only have 20, 30 data scientists, so we're obviously not going to build custom code for it. So the idea is it's the same model, but the same meta-model, but it's trained on different data. So a public data, but also customers, private data. And how much does the customer, let's say your customer's Tesla. Right. How much of it is them running some of their data through this bootstrapping process versus how much of it is your model is set up and it just automatically, once you've bootstrapped it, it automatically starts learning from the interactions with the Tesla. Yeah. With Tesla itself from all the different partners and customers. Right, I think there's, we have found most startups are just like learning over small data sets, which are customer centric, right? What we have found is real magic happens when you take private data and combine it with large amounts of public data. So at demand base, we have massive amounts of public and proprietary data. And then we plug in and we have to tell you that, hey, our client is Tesla. So it understands the localized graph and knows the Tesla ecosystem and that based on public data sets and our proprietary data. Then we also bring in your private slides whenever possible. Present. Slice of data. So we'll plug in, we have code that can plug into your website and then start understanding interactions that your customers are having. And then based on that, we're able to train our models as much as possible. We try to automate the data capture process. So in essence, using a sensor or using a pixel on your website and then we take that private stream of data and include it in our graph and merge it in and that's where we find our data by itself is not as powerful as our data mixed with your private data. So I guess one way to think about it would be there's a skeletal graph. And that may be sounding a little too minimalistic. There's a graph. But when you work with, let's say we take Tesla as the example. Sure. You tell them what data you need from them and that trains the meta models. And then it fleshes out the graph of the Tesla ecosystem. Right. And then- Whatever data we couldn't get or infer from the outside. From the outside. Right, and we have a lot of proprietary data where we see online traffic, business traffic, what people are reading, who's interested in what for hundreds of millions of people, right? And we have developed that technology. So we know a lot without actually getting people's private slice. But whenever possible, we want the maximum impact. So it's actually simple. And let's divorce the words graphs for a second. It's really about let's say that I know you, right? And there's some information you can tell me about you. But imagine if I Google your name and I read every document about you, every video you've produced, every blog you've written, then I have the best of both knowledge, right? Your private data from maybe your social graph on Facebook. And then your public data. And then if I knew, if I partnered with Forbes and they told me whenever you logged in and read something on Forbes, then they'll give me that data. So now I really have a deep understanding of what you're interested in, who you are, what's your language, what you're interested in. Okay, cuz that is sort of simplified. Similar at a much larger scale. All right, let's take a pause at this at this point. And then we'll come back with part three. Excellent.


Say time what's the mom squad welcome back to our channel if you guys are doing this channel make sure go hit that subscribe But and turn your post notifications so you can notify every single time we post of course bill is currently sick of course I feel like I'm dying so that's so bill. Why do you want to tell them that you want to do today? So today is perfect. Okay, because I'm being fake right now.  She's happy But I don't think she's gonna be happy by the end of this video. Okay. Well depends on what you're making me do Right. I got massage. I'll help you like maybe some soup.   How many thumbs up can we get for bill? It's a step closer to me being healed. Yes, so I'm gonna have to do a video on her guys if you like this video by the end of the video make sure to comment down below Whether I should do a doing everything my girlfriend says yes It's gonna have to happen. No, so as you can see the Christmas tree the bears We got this Santa Claus over here guys We're doing a Christmas giveaway Christmas is coming up really soon. We're not giving away some merch We're not giving away Apple watch now. Oh, we're giving away an So if you want to be answered in the iPhone 11 giveaway tell them what we have to do But make sure you guys subscribe to our YouTube channel You have to be subscribed and make sure you're following both of our Instagram accounts You're spreading a bunch of love and positivity Yeah, the most active person that we see that's eye-opening who's always showing love constantly not just for the iPhone You're gonna be entered in this giveaway. Yeah, so I wish you the best of luck So today's notification shout out goes to Haley catch a shout out to you Haley They can be a part of our channel and if you guys notice, I'm very puffy today. My hair looks puffy. Yeah, like my fit like I'm Check out this girl look at her hair. She got them way She got them curls turn around do a little spin. Oh my god. Yes Right, you can make any guy drop dead But watch out. You better not be staring at my girl right now Hey, I see you. I look ratchet today.  Are you kidding me?  I'm just putting on my best face. All right guys So we're gonna get on to this video, so I'm a little nervous, but I gotta do stuff for my baby today All right, Mariah, so I just want to tell you guys right now is 1 30 in the afternoon Yes, we are filming a little bit later today and no I have not ate anything today because being sick It makes you not want to eat, but now I'm officially hungry Mariah. Can you make me some soup? I just want to I want to start it off with a banger. Are you right? Yes. I mean yes Yes, you better be happy. Don't be like sad something got me soup So I kind of want to go to a store today. I got to buy some Christmas presents for my dad and We're gonna go to a store after this. Okay. Okay. Is that fine? It better be because you know today You gotta see you. Okay, your mom said soup for sicko. Oh wait. She actually made me soup Yeah, because she texted me she was texting me yesterday and she was like I'm making soup for the sicko. So she so that got so everyone this is proof that I am sick my mom wrote a note that says soup for sicko and Wow, Mariah, you got it easy.  I know it's why I was really excited when you said I was gonna do stuff for you Cuz I need to just cook Actually, why was it you doubted here, couldn't you? You can't put plastic in the microwave Mariah Really? Yes, it'll melt What is good for you?  What do you say?   I am a chef.  Oh my god. Oh, is it work? Thank you really quick. Thank you. Oh Mariah. Can you hold your pee for me?  It was hot All right, I'm all done. Is that good? Yeah, can you clean the bowl? Yes, and I think for you dishwasher Sure. Thank you. You're so nice. Why are you being so nice today?  Oh, well, that's very nice Thank you, Mariah. You're welcome. You know, I love you more than anything in the world Thank you. Can I get something to drink please? Oh, would you like I just noticed I've been eating and I haven't drank anything today All right, what would you like?  Thank you Thank you. Can you hurry up though? Can you take less than five seconds one? two five Are you kidding me?  Yeah, I can open with my nails Can you help can you clean up the mess that you just made it's all over my hand and my mouth you're being cute Being cute here. I'll try again Why do you keep going when I'm going like this? All right hardest question of the day Mariah, can you give me a kiss? I'm sick. Okay, but I'm sick. Would you expect me? No, I'm sorry. You know that there's Christmas Right, can you give me a kiss? You really can make me do that If you love me, I don't want you to get sick, but she did her lips did make contact with mine for a split second So thank you Mimi for putting in the effort. Yeah, you're welcome. All right, babe. Get the car keys Um, I want you to drive me to the tool store. I need to buy stuff for my dad Got it.  I probably will no, I hope not I don't think you will just take your vitamins and you'll be fine. Yeah now. We're gonna be going to a couple stores We got what I dropped. Oh my gosh. I thought because I touched you you ready What are you doing? Come on, babe It is cold out. What is it like 30 very cold today? Yes, it's 20 or so 30 I was like 49 degrees yesterday. No, it was over 50. It was nice. It was literally like back to like 50 55 So that's Chicago for you it changes in a heartbeat As long as you're driving and you're paying I'm just So personally I do like the curly better the curly hair My hair is usually not this coffee. I don't know what happened today. No, I like it I like it better than your straight hair It looks so good. All right, we're in the harbor Frank the harbor of the harbor of the free So we're looking for a light. It's like a stand-up light. So my dad when he's working on his car He'll have some good lighting. Yeah, his firebird. Yeah, he has a firebird that he's been working on and He needs some better lighting. So that's what I'm here for direct me sick. Oh, I found some lights over here He thinks it could be these but we don't know these would be good, but actually I found some right here these big old lights Think your dad want that. Yeah, he wants a stand-up light. Okay. Oh, I mean, it's only $89. I thought that's more expensive than that That's cheap and I have a 20% discount. Oh, let's do it. Yeah, I think you'll like those a lot I'm and they're white. So they'll be able to so you want me to buy them for you. Yeah, can you buy it for me? Yes, you actually take them off the shelf, too. I want to see you your little skinny arms. Take these big lights off the shelf Is it I'm not exchanging These are like the normal lights 34 bucks. Yeah, no, these are LED and they're rechargeable No, he needs the better set of lights. He's gonna love this. He's gonna love it. Yeah No, he's gonna be a leader now. He's definitely do we snag anything else for him like some little lights many lights Well, you could set it down for the moment. I'm gonna be in this aisle for another five minutes. So set it down The concept is just it Stop talking you're embarrassing yourself in front of our Marvel Squad I'm right.  Yeah, the plug-in ones will last forever Even though I personally don't like them. So here you go. Hold that too There you go. I know I'm sorry today. You're supposed to be saying yes to me all day I'm not faking it. Marvel Squad. Don't even think for a second. I'm faking it. You get sound that I'm congested I didn't even shave today. I just I've been a whole mess I've been maybe you know the whole reason why I'm getting this for my dad I just want to brighten his day up a little bit So we were literally about to leave in Mariah, I literally found the best thing ever can we please buy this I know you're about to say cuz we're talking about this earlier show them what I what I found Can can we buy this so you can roll me around Please I Could sit I could sit in that seat so 72 dollars as better than me walking everywhere Yes, I do My legs are tired.  I got a set up for a little Instagram Shot right here in the middle of a tool store by the way everyone's looking at us funny, but we don't really care I It's freezing I'm struggling babe. Can you help me do it? Yeah, pull it pull it pull it. We are so extra That's what we do on a daily basis especially from Raya she posts almost every day on Instagram Not yours for our model squad Shout out to the Harbor Freight lady. I had 20% off and I left it in the damn car and she still took it off for me So all right, so we made two Walgreens guys the agenda is we're looking for a beauty blender because Mariah apparently ripped hers Yeah, and I don't know if that's an excuse to get it. No it is because then I don't know beauty blunders Because then water gets into the I'm not a girl So I don't really know water gets into the holes and then it becomes moldy All right, so as I was saying the agenda is a beauty blender We got to get a secret gift. That's what we can't say in case madam Steven are watching. I'm watching that they do watch Yes, what else are we getting? Maybe Jell-A Rancher bites they have if they have Jell-A Rancher bites, but they probably won't they probably won't say never do So see you inside right that is not a beauty blunder that is that is not on the agenda We never talked about this And this is why we come to a store We end up spending way more than we actually need to because look at she's looking at shit that she doesn't even need You said only a beauty blunder that's not on the agenda You got mascara you don't need a pen fine. I'll let you get that. Yes, exactly.  Come on. This is not a say yes to Mariah day Do you realize you're paying with both of our money right now? This is a say yes to build it You know what? What did you grab? I need to get eyeliner. You said you they were out. Oh my gosh All right beauty blunder. That's the last thing we're getting in makeup. No more makeup We shouldn't have even came here as I should have came here alone It's it's our money. Okay, and today's a say yes to build a not a say yes to Mariah day So look at I see some right here. Grab that one. That one's cool. That was mine. Yeah, I'm right here No, you know you didn't really you never got that you've never got that one. You know, I have two of them She's never got that one in her life.  I've seen you use an orange one before not that that's a marvel That goes with our brand whenever we make our own makeup We're gonna have marble beauty blenders and it's gonna look like this All right, well, let's go. We got we got a gift to get now All right, so I have the secret gift in my hand, but you can't see what it is because it's blurred out Yeah, I hope that blurred it out. But yes, we did cop the secret gift I cannot tell you guys at least until the holidays are over, but he's gonna love it We just got home everyone now. Let me tell you right now. We overspent a lot Bunch of stuff guys like we got candy candy Oh, we're doing a challenge with this tomorrow. So stay tuned for that. Yeah, that's on our tic-tac And then we got some lifesaver and yes starburst candy canes Why don't you show them? Why don't you show them what we do what we do with them for the Christmas tree? Yes, so I don't know if you also do this We just been doing this for years and it's fun We put all the candy canes that we take out of here and yes since today is my day I did ask Mariah to open up all the boxes and Mariah. Can you also put them on the tree for me? Thank you, so we got lifesavers and we got starbursts. Yes, and what we do is you hang all the candy canes up on the tree We had the Christmas parties here. So what I love is when all the little kids are coming and they're playing Yeah, they literally run over to the tree they grab some candy because you know their parents won't give them candy And then they go off and take it. So put some for the toddlers down here little toddlers Guys if you made in the video this far make sure to give it a thumbs up for every single one of these bears That we have we must have a thousand bears up here, and they are just been crowding up the area Yes, we do have a pet owl. He doesn't really do much. He just like sits there, but he'll move eventually Are they? Yeah, good look at peep the tree looks more full I know what I would do if I was a smart kid. I would take them in stockpile them So no one else yeah, and then I then bring them home from the party and my mom no one would know Hey, buddy What's up? What are you doing? This is a day in life of jakes off.  Look at you scared him. Oh, yeah watch right one. She feeds him This is like crack for bunnies Watch right when he sees it ready Hey, what hey just jacked that whole thing jigsaw get look at here. Here you go. All right, so Mariah Can you make me some hot chocolate? Okay? Where's the hot chocolate? All right, well, you know you've been dating me for three years, so you should know but I will tell you it's in the cabinet It's in the cabinet not okay. No around the corner.  Would you like a Christmas mug like this? Would you like that is cute, but I kind of want that fat mug. No, no the fat mug Yes, what does that say? I love coca. Hey, there you go wait. It's coca coca coca. What does that even mean? Thank you. Yeah, oh and I'm kind of one more thing right. I'm sorry. I'm very very sorry But all I ate today was soup by any chance. Can you make the rest of the soup for me?  Well all that soup fit in that bowl Man, I might have to wife this girl if she keeps this up So I didn't find Christmas movie, but I found right along to Kevin Hart is so funny by the way He's probably one of my favorite actors Baby You are so adorable Oh, there was no whipped cream in there Or else I would have topped it off with whipped cream. It's okay And here's your soup. Thank you so much. You might want to eat it now. Wow, mariah. You literally outdone yourself Thank you so much for it. I know this is probably the neediest part, but um It's okay. You deserve it. Kevin Hart is so funny. I know I was just talking about Kevin Hart's probably one of my favorite actors Yeah, he is. Um, this is right along by the way. I know I love right along We saw this in a lot. We saw this in Mithi Dose together Mm-hmm. Oh, like this one. Yeah, I didn't know that really I totally forgot. It's hot. This is hot. I told you it was going to mess for you to sip it like that Serious I'm right. Well, I know that you have to leave soon To go hang out with your little brother and sister because they're only going to be in for a couple more days in town You've really outdone yourself in this video and everyone how did mariah do leave a comment down below I'm a good girlfriend. Girlfriend material. She's not a good girlfriend. She's a great amazing girlfriend I wish I could kiss you right now, but I know you're sick. Well, actually, can you give me one last kiss?  We were lucky for me to film today today. I was feeling a little better I'm still like nasally, but it's okay. Yeah, you'll be fine.  Yeah, I think I'm good for the rest of the night I got my cocoa. I got my soup. I don't need anything else, but a warm bed in the blanket So comment down below if you should do whatever I say for 24 hours Again, that's gonna be terrible because mariah's a needy girl. I'm not needy. You're more needy than me Whatever guys if you want a video like that, make sure to comment out below And once again, like we said in the beginning make sure to follow both of our instagrams and be subscribed to our youtube channel To win an iphone 11. Yes. Thank you for all the new and old people here. We love you Marvel squad We'll see you guys in the next video, but I'm still there. Peace


think fast days really are always the better days. Chris you know we don't look at fundamentals, I see what you wrote. I was you know I rated both these things but actually Sina is looking better but I did like Sina. And Kuala Bear I think you have I think your platform my guess is but I could be incorrect unless you're looking at the volume somewhere wrong is that you are when you sign in your platform is looking at the volume from the moment you sign in not from the moment that the volume starts trading on the stock on the day like for example if you don't have this volume here then you're your platform for whatever reason doesn't start the volume until you log in so that's why I think you have that that I want to somebody can change the broker if it's just broker I know some brokers are like that you'd actually have to go look at the chart and look at the volume to see that this actually has volume so that's what I'm thinking here why you said low volume because this isn't low volume V-SERI I don't like Brent I should see your email I don't know really what to say about Twitter you don't really have a lot of time to talk about it right now but everybody should have gotten Twitter pieces one is these five cent things too I didn't realize but which is fine okay it doesn't look like it's moving whoa sign is off wow passes off didn't even get up down wow and that too okay stop's gonna be I'm giving this wide 60 because of the spread this isn't gonna be a small stop let's do 85 by 60 85 by 60 carb but let's just do it at 23 here do it do it right here you take it right here and get in and put the stop at 60 just do it that's a little bit better than what I had it originally and I think we have plenty of room carb be in it be in it be in it be in it it's kind of slow here but the spread starting up I don't know looked a little bit wider earlier so that would be safe and sorry I'm gonna spy it all today I don't think there's anything here that's gonna tell us anything about carb actually I don't see anything that really set up pass completely flipped okay so I'm in this if you didn't do it you have time to get in here you can get in here if you want and stop is way above maybe we should give it 70 because I'm looking at the spread again here now back let's give it 10 more cents because the spread keeps changing put it at 70 oh there it doesn't matter I just got taken out wow I barely have time to move it no I just got taken out here we're gonna sit here and keep watching it let's see where I got filled in that I got filled through the number but no I actually got filled above 70 but it is what it is let's just keep watching this here that was it was a hard green bar if you if you didn't have time to change it you got filled better than I did because I got filled through even 70 so let's just keep watching carb maybe I should have waited till 80 all right we're gonna retake this question is watch we're gonna give it the spread continues to continue to change so you have to be out of this I took the stop it filled me through the stop but that's life let's see if we can get this to go here in our favor that was a pretty good entry to just wait so I need a quick trade did I may not get it VCR a I didn't like and did this do anything 20 cents it's a good other one grfs all right I'm back on top of carb I'm gonna be tight with this stop this time around 95 29 by 95 carb this shouldn't go back up again at all 29 by 95 carb I'm gonna be back on it when it hits it didn't hit yet us did not do anything right it ended up gapping up Steven 29 by 95 carb if this hits I'm not going after VCR a it's too late it moved 20 some cents they're quick besides the fact the markets rallying here this pushed back want to make sure this holds I think the market's gonna be very tricky today don't jump the gun on this oh crap there it is it hit whatever you got filled just put the stop in a 95 just put the stop in a 95 it's trading weird it's trading weird I had a bad film on the stop and now all of a sudden the spread is 20 cents this is trading strange I mean I'm in it again here now I'm not gonna worry about it but just make sure that you do have the stop in and I'm not giving it any more room it shouldn't back up at all if it does it's not gonna work so I'm just gonna be out of 95 and since it got filled so poorly the first time that'll have to be it so if you're in this you're in it that was the other one this did not oh this I know this didn't end up gapping down I thought it capped up no it didn't it did get down but it flipped so it's rallying now so there'd be nothing to short here you know we could have done we could have done Twitter I forgot about this morning why didn't I think about this this morning shoot just look at this of course this may not even be setting up because the market carbs just trading really bizarre no this is lower Twitter's lower gosh we do two things that would be very risky on a short day for me I still want to babysit this let it let this drop I'm most inclined to do two things but I don't want to get crazy okay who's in the car and I have a feeling some of you didn't take the first stop yes the other day who was it Bren or somebody emailed me they didn't they never had a stop in the one that did stop and then never reset up which I'd emailed everyone about but actually it never reset up here this goes what the heck was it whatever we did that didn't reset up we took a stop and it didn't work that I sent an email out to watch it at certain numbers but the numbers never hit if you don't put a stop in if you're in danger of losing more than you think yes this got stopped and now this is working again and if you didn't have a stop in then obviously you didn't take the loss and this goes on to work you will never have taken the loss and this looks like it's going to go now but it's still better to have the stop in because you could lose two three hours in one train and something can move against you really quickly and the other one from the other day didn't really here this is going to go I'm glad we stayed on top of it yeah that was it that was the one that was it here I don't know why this is so bizarre today but it is I think we've traded this before sure that we have just let it fall like a rock here here it goes what a bugger what a bugger that that had to happen in that first tree here let it go it's going to go right down to 22 just let it drop just let it drop this is still working out according to my schedule thank you let this drop this is going to bounce anywhere at all now yay so glad I stayed on top of that so this is very tricky very trickery and Twitter probably follows again too I'm not going to do this if you run a short Twitter if you feel like trading all day but stop over the high targets 30 though not a massive target here but the market flips this will flip today too so I don't think that's worth taking the chance this is working spread was weird traded bizarre didn't even look like it was open on time I don't know it's just bizarre now this spreads 17 cents show again you could scalp out of a little bit when we get a drop in here or if you even retook it if you're worried about it going you could get out of half or something if you took the first lofts and retook it with me you could scalp out of a little bit here this is a little bit of a move in here okay so again it depends how you're playing it as far as getting in this is 50 some cents or thereabouts so this is you know you could just gonna break even here if you don't want to deal with this because this didn't work the way that I originally thought it would today immediately so I mean you could just come back break even for the day here if you want are you waiting for it to drop I think this is very spreading because it's strange because it's tight and then it's wide and then it's even wider stock and move out here it goes here did it to do here thank you for cooperating yay I'm so good we went back right into it I think it's gonna go right down to 22 no one's gonna buy this here now so 55 is the low let's watch it there you could you could get out of it there I'm gonna hold it just tad smidgen baby more market could be dropping off here now I don't know gap down to the market rally didn't really come anywhere so predictable that the market was gonna push up into that resistance and drop again in this in the 200 premium average I mean you could have predicted that it's like whatever here we go here we go nice just let it drop it's gonna go right down in 22 we're gonna have a nice trade even though we took the stop this is a great entry this is a dollar right here with a nice trade here it goes here here did it did it uh so let's try to get this to break 30 if we can 35 gosh there's so much to look at but none of it was good and this is such as this is a strangest thing we traded all year but it looks like it's moving that it doesn't move then it has it then the spread goes whoa okay here we go you could get out right here if you want you know 35 37 no if I get out of this right here to drop another dollar it's like it absolutely will with it going over 60 I can't I'm gonna be smart today I'm gonna be common sense says don't hold it because I don't have the time I do think it goes to 22 amount it do whatever you want to do I think it goes to 22 I think it can be rock and roll under 22 with the market here for drops I I can't because of my schedule so I think it was a good decision to me and actually this brings up one quick thing I'm gonna say as a lecture and then I go over to go so I can get on with my day I I had a mentoring session with gala had last night he's not here today he is managing trades poorly I'm gonna use him as example though so that some of you can learn from some mistakes that he's making which some of you may never make because it because like you just wouldn't do some of these things but whether it's a day trader an option trade when you're looking for a percentage or that you're looking to make or earn or even a target as far as a dollar number you have to have common sense about it as far as the area it's this is an exact science now I'm gonna use him as an example because because this is this is just an insane example he was in an IBM option and he was up he risked $300 he was up to 50 two days ago in here he didn't get out I want him to I'm forcing him to make a money manager planet will stick to he really he keeps saying he's going to do this and that he says well he's going to wait till it goes 100% show because it was $50 off the 100% that he risked he did not exit the trade this day he was down yesterday he's down more today now the trade still on he has a week left but I think he misses exit so my point to him yesterday when I talked to him is this is not an exact science it's this so this guy over here that we just did now look this looks good this looks amazing could this go to 22 yes but as far as I'm concerned where I just got out I got it do you know what I'm saying it's like perfect do you know what you know what I'm saying like 30 cents from the target 40 cents from the target that's it you did it you know what I'm saying it's like yes you could hold this a little bit of more yes you could but it's like you don't know 100% that it's gonna go where it's gonna go at the time exactly this isn't an exact science does that make sense Hector's first-side trade he made money did you get out I mean you could get out here Hector you could hold it but it's your first trade I would suggest that you get out anyways he was he was then arguing with me because he said well I said I was gonna do 100% it wasn't 100% so that it was actually 83.3% and I said you know then you need to do between 60% and 100% you need to look to get out because it's never gonna be exactly it's not never but it's it's you can't you can't miss an opportunity to exit a trade with profit because it's not at exactly 22 or exactly 100% or exactly do you know what I'm saying that's the nuances with trading where you got to make decisions and you got to get a feel for it and the reason why you know it was very obvious exit for him to get out is because he only had one week left in the trade it was an option so he's a fixed time to get out he has not been booking profits correctly he was up it was real money and it was very obvious to me that the market was gonna do something unless it blew over and gapped up in big time the following day it was pretty obvious to me the market was gonna drop off because the market actually dropped off the day that the the day that the the day that the IBM was green market was actually red so it was obvious to me the market was gonna have some follow-through with that red it wasn't big but it was enough to pull the option that he was in was down but then he swore up and down to me that if he had risked 30 grand instead of 300 that he would have got out of your 25,000 profit see that's what makes no sense and see that's just that's just that's where he's at with his head where he won't take any money off unless it's a ridiculous amount of win or money or actual dollars and he can't risk $30,000 so we can't get out with $25,000 so he doesn't do anything right but one years ago when he used to risk more he didn't get out then so his logic just isn't even isn't even rational because he used to risk four or five thousand dollars in some of those options trades he'd be up to three thousand wouldn't get out because it wasn't a hundred percent and then he'd give that money back and then the money he lost at the trade so when you're in anything I fully believe that this could very well go and follow through but I have to leave today and so it looks like this is backing up looks like I had a good exit here it still could go Twitter same thing we had an amazing exit didn't go a little bit more oh look this is going crap did anyone do it we could have done this too in the back of my mind I was like if I didn't have to leave today we would have done this too but you could have done this did anyone do it I said just take in put the sub over the high look this is going and actually Elaine are you in here I don't know if you're in here or not it's probably too late now to buy a put which I know you're doing options you could have bought a put in this I didn't feel the need to call an option trade in this though yesterday because I didn't really have the move that I expected it to yesterday in the day of the earnings and the market was a crap shoot today where it would gap now this is going just broke 30 so anyways if you're in this it's okay if you have time to let it play on out but if you want to be done in the morning I think it's the best option the days that I've tried to hold things or whatever it's a pain in the butt it's just it's always pain in the butt it's a pain in the butt to do it and sometimes it would take a lot some more than we can go back in the afternoon that's a pain in the butt you know today and yesterday were perfect days the fact we took a stop here it is what it is but actually this really didn't do anything wrong so it was kind of aggressive in here but what are you gonna do anyways my point that I'm making which was to him was valid so he didn't get out he's up 250 but he would have got out if he was at $25,000 profit but the percentage which we his rationalization was well I'm not getting out if it's not not a hundred percent okay well then why would you get out if he was 30 grand at 25,000 well it's a lot of money well 250 dollars is a lot of money if you have a small account so it doesn't it's you have to be rational about it in a common sense he's doing many things wrong but one of them is he's in his mind if the dollars aren't there then he's he doesn't want to do it but he's not going to ever get to that point because he's not being rational about taking out profits when he's up and in fact when you have less money you should be taking money out faster which I did say the other day you don't have the luxury of holding something if you are in a position where you need to be consistently booking profits to grow your account you have $2,000 in a trading account you're trying to get up to 10 well how's that going to happen everyone wants one big huge trade that he can make a million dollars and and get the count up or come back from a lost day like in one full swoop although that can happen it's not advised and it's very unrealistic there's no second setup in this brand did you not do did you not do the first one there's no second setup in this in fact this either just bases out and drops and breaks again or I don't I don't think this is going to rally up if it does and it resets up it's not going to be before I close out the room did you do this trade or did you not do this trade oh you did it all right twitter was a home run yesterday that century had a long time because of the size of a stop you'd like to get some more of those next week was what a break even day for me which day are you talking about I didn't retake EA it never reset up EA never reset up no today was not break even today was profit weren't you here didn't you do the trade didn't you hear the call all right let's go over really really quickly here and then I'm going to let everybody go first of all everyone should be up that followed me here today even if you took the one stop so what happened we shorted this here jump the gun a little bit okay jump the gun a bit anyways got in pooped over where I had the number okay I ended up getting filled at 75 wanted to well actually I originally had it at 60 then I put it to 70 got hit out at 75 okay then we reshorted it right in here or whatever time it was here this was the bar I got it and then it came all the way down no I got almost a dollar out of this and I did not lose a dollar in this trend trader did you not make any money in this today or did you not do it or you must not have done the trade I know you like that VCR A1 did you is this what you did I just didn't think this was going to go anywhere I just don't think I would have done this stop would have been about 70 cents and it ended up going about 30 cents if that so who's doing what I'm out of the car you should be up for the day if you took the stop I don't see any of their second set up in here if you didn't do this you didn't do it any quick questions from anyone in here no idea what we get next week we could have done twitter too but you know it's a lot to manage and also I took the stop and carb so if I had done this even though I didn't know this was going to drop off like two seconds after I looked at it but if I had I would have done it and had it you know a nicer day but anyways if this had stopped or taken longer to go it would have been stuck in the trade past 10 and so since I have to leave I just don't think that was a good idea but this worked I mean if I had done this I'm going to drop in five minutes after I said it I would definitely would have done it koala bear still in carb nice trader still waiting for your account all right listen have a great weekend everyone I'm feeling better thank god have a wonderful day and um I will see you all Monday hope you don't very good