What's up everyone? It's your girl Kinsey here from Leighton Sports Cards, and I'm ripping a personal for Chris B We've got two twenty two twenty three penini prism collegiate draft picks basketball Holly boxes Alrighty Chris best of luck. Thanks for starting us off this morning. Let's see this guy in the front right here Let's see a big palo or a manga. The manga's out of here I like the Zion one that forest pulled on release day. Those are really cool the manga or a steam glass I haven't pulled either one of those yet What's up Cooper? Did I really miss that? I don't know how I do that All right, here we go So chin jaw. I've got a silver rookie of Ron Harper jr. We have a silver auto of Peter kiss Peter kiss Let me silver auto Then we have a Hyper rookie of Christian brawn Blue ice of Bill Russell 19 of 99 Bajie Instant impact typer of tie tie Washington jr Devon Booker and dang. What's up William? I don't talk politics religion or anything like that. I'm sure Scotty Pippen we got silver rookie of Jalen Durant Memphis On next auto. We've got purple ice Vincent. Oh, man Iwuchiku 12 out of 99 USC We also have hyper cream of dual jambar Blue wave rookie of Kennedy Chandler To 249 Jimmy buckets fireworks of Jalen Durant Pete Watson and and Chet Holver rookie base Mitchell silver dewayne Wayne On next auto is going to be penmanship of tyson Etienne etienne. I wonder if you guys any relation to uh Jags Yeah from Wichita States Got hyper rookie of Jake Lariva red d-way Look at the young d-way, man He still kind of looks the same.  I like the rookie flashback. I pulled a Kenny picky yesterday. It was really nice. I can yeah Last pack here and box number one christian brawn on the silver And last auto a box one. We've got silver anthony black anthony black hyper stuff curry Purple ice tyler hero for kentucky Out of 149 another purple ice jimmy buckets to 149 Insta impact johnny davis jimmy butler and jaden hardy box two No worries super Here we go Shock silver cream abdul jabar first auto up. We've got black one of one brice hamilton Wow First break of the day. We're pulling a one-on-one already. Let's say that's a beautiful color match there on the black and red jersey too Wow, brice hamilton university of las vegas One of one There you go. Congrats on that one chris We'll mag that for you hyper of ant-man blue paul george 199 m bar jabari smith jr. Paul george and a jabari walker davis daniel silver jake lariva rookie We've got purple ice penmanship of uh, a minu muhammad 94 99 hyper rookie of jeremy sochin Blue wave of clyde drexler to 249 johnny davis a chet holgram on the flashbacks Uh shade and sharp rookie and de mar de rosen silver staff curry got blue ice penmanship of sasha stifonovich Out of purdue 46 of 75. How about purdue losing to that 16?  Let me tell you they got nothing to lose jaw on the hyper Red russell westbrook to 299 silver joell and b brilliant silver of trey young Baldwin jr. And dale and terry last pack here for you chris Now one of ones are hard pulls. That's for sure Here we go. Jalen williams a jay griffin silver anthony edwards We have purple ice auto of ty ty washington jr There you go. It's ty ty there 76 of 99 hyper scotty barns blue ice rookie of jeremy sochin 72 of 99 blue jimmy butler 7 uh 37 of 199 Uh, there's bank carol on the brilliant space for duke jabari smith jr rookie and chris paul Alrighty chris. That will do it for your break Again, congrats on the one of one penmanship of brice hamilton That's sick out of uh, unlv one of one First box of the day Congrats again. We'll get this right out to you


Organization probably to have, you know, three functional usability labs for us. One in New York City, one in Pune and one in Chennai. So we have a dedicated team of user researchers, usability analysts, visual designers, UI developers, usage analytics folks, everybody. So basically, right, I'll start with, you know, a topic here is big data killing customer experience, right? Every movie or every book or anything that we, you know, kind of read has a three act play. What is a three act play? Right? If we take up a fairy tale, right, there is this Cinderella story, we, they introduce the character, right? There is a poor girl who's facing so many issues in a, you know, home and then suddenly she gets a boon and then she loses it.  That's a three act play. I'm trying to follow a kind of a three act play for my presentation here. And I'm going to tell you two stories, one in the beginning and one at the end and probably set the stage for some of the big data, you know, you know, preliminaries or some of the, you know, difficulties that we handle due to big data, right? So that being said, I'll start right away with the big data story, right? Now, we are a company that respect, you know, information security a lot. So I'm trying to mask names, but in reality we are talking about our company here, right? So the idea here is I'm a part of a financial organization.  Financial services, brokers, traders, activity, that is kind of bothering all his customers or users. In our case, the user is the customer because, you know, we make applications which are used by brokers and traders who are internal as well as external customers, right? So this person wants to find out which is the most monotonous and repetitive activity that is going on in this application, which is the most used application or the portal and then try to make their lives better, right? That is the kind of exercise that is interested upon him.  In this case, whenever we talk about data or intelligence, we speak about business intelligence teams, right? So obviously he goes to his set of, you know, business intelligence folks and then he puts the same question across to them, okay? What is bothering my users? What is bothering my customers, right? And how can I help them? And please find the most repetitive and monotonous activity in this application so that we can make their lives better, right?  They come back with a, we would have seen in movies, you know, these in the streets, right? These guys bring bars along with them, and then they start hitting the drum and the bar starts dancing, right? Alan Cooper has written a book called, you know, inmates are running the asylum. It's a very interesting book. It talks about how electronics is designed by people who don't actually know the customers, right? He talks about dancing barware, right? The metaphor here is a dancing bar, which is very entertaining to see, right? Of course, it's interesting.  They sit there and watch the bar dancing in the streets. As soon as the show is over, they remember, oh God, I forgot everything. They run back to their errands. It has served no purpose for them, right? So it's called a dancing barware, apparently. That's what we see here. It's a card diagram, but apparently, none of the data underlying this is revealed, right?  Can you tell me what's happening here? Right, that's the obvious question that the product manager asks, because he has no intel. Nothing, you know, which can reveal what's going on. Now we go to the, you know, general setup of what big data is. I'm hoping that all of us know about big data, right? So generally speaking, you know, can anybody give me an example of big data? Anybody? Google search, awesome. So search engines, big data.  Big data, right? Social media, every day, every day in time, every minute, you know, we use Facebook and it keeps on updating so much information, right?  We are pumping in data into the digital world and apparently, you know, it's getting crowded and crowded and crowded, right? So that is big data. A little bit of history, right? How it came into being. In 1786, there was a person by name William Playfair who came up with this big first dashboard on a copper plate. He explained, you know, what are the exports and imports that happened in and out of England, which was the very first dashboard. It was very interesting to see and it was very, very clear to see. But then what happened during the due course of 200 years from 1786 to mid-1980s was that they invented what is called as the executive information systems. That, again, is a very interesting piece of information, right? So this executive information system is nothing but for executives, they are giving some sort of financial data. And Steve and Fugh, he's a very interesting author, he researches data dashboards and everything, right? He says that even executives can read the executive information dashboards, right?  As they move up the ladder, they become dumber. That's what we say. Attention span is very low. Whenever we go to our manager and start talking beyond two minutes, they say, okay, okay. Just tell me what's the bottom line, right? That's what is their attention span. So we need to understand their mindset and this executive information system was done with a very noble purpose. To make sure that people understand what is going on with what is happening in the company, right? So that kind of transformed and data warehousing came into being, business intelligence came into being. Walmart started the data warehouse revolution and we are at a point where we are the slaves of big data and big data visualizations, right? So hopefully it comes back, okay? So we are moving towards this big data visualization trends. One of the examples that I showed you was the card diagram, right? Let's wait for a second here, right? I just wanted to show you this, right?  If you look at this, so much information has been packed into tiny spaces, right? And people expect us to find what is going on here, right? So that is kind of, you know, it's kind of insulting to me as a UX designer or a customer experience analyst, right? So basically we'll come to that part, right? The cribbing part comes later. But now let's talk about, you know, one interesting thing that I read in Gartner, Gartner's research, right? They say that by 2015 we'll be needing 4.4 million data scientists. The word scientist means that they do research, but in reality here they speak about people who can just take data from multiple sources and make it usable, transform them into data. I mean, usable form of, you know, information. That's what they call scientists. It's not about analyzing data, it's so much about just making it into packets, you know, messages, you know, usable formats and using them. So it's a staggering number and we are not even invited to play their game, right? So we need 4.4 million data scientists, but not 4.4 million UX analysts, right? The data is big, but there is no one to tame it. And one other thing is it states that only 1% of the world data is being analyzed currently. So imagine all that junk that is lying around in the digital world, nothing is happening, right? It just stays there. You know, people create random websites, they throw in a lot of information.  If I don't have any time to kill, I just upload a video on Facebook, right? The junk keeps adding on and on and on. Right, one other important thing is the revolution of data I was seeing brought about by Walmart. Walmart, as you know, is one of the top 10, you know, most valuable companies of the world. It spins money like anything. And it says the tagline says our prices are always low. You know how they came up with this strategy? They are the ones who invented data warehousing, right? In 1992, they started 2 TB of data, and today they are handling 2.5 petabytes of data, right?  Zeta bytes, Yota bytes, God knows what will come later, right? So if it keeps on increasing, and you know, the US Library of Congress, they preserve history, they keep on collecting more and more and more information every day. And then you know, where can they store all this, right? We cannot see it, but we need to store it somewhere, right? How can we reduce spaces and increase the storage? That's what they're always about. And 571 new websites are being created every minute of the day, right? So with all that, you see this? We cannot crib that so big data is being, you know, thrown around everywhere. It's us who are creating this big data, right? As I already told you, we throw this stuff around into the digital space, and by 2020, look at how much data we are going to throw into that space, right? So it's really bewildering, right? Guessing time, right? Anybody, can anybody tell me what kind of chart this is? Any guesses? Okay, anybody else? Obviously it's called a node map or a node chart, right? Because, see, there is a point to this. I'll come to it, okay? It's called a node chart. It's used for, you know, relationship mappings. Obviously there is a central core and, you know, it keeps on going around and around and around. It gets collected, you know? It's a huge, huge, you know, sectors. And then, you know, it is obviously made for, you know, showing affinities, relationships, so on and so forth, right? Any guesses on what this chart is? It looks like a floor plan, obviously. But the name is not very intuitive as it looks, right? It's called a tree map. God knows why it is a tree map. There should be some sort of an explanation for why it is called a tree map. And obviously, right? A New York Times published, you know, article on Obama's budget planning using this tree map, right? So we ought to look into that and find out what's going on in the US. So, yeah, those are some sort of examples. This is even bewildering. I didn't want to, you know, even mention the name of this. This is called a heat map. You know? I don't know what's happening in this area, right? So technology only has ways to, you know, convert data into visualizations one on one. It doesn't simplify it. So it has only so much intelligence, right? There is no simplification of big data. There is only one on one mapping, right? Now, this is an interesting part, right? We spoke about how data is picked, okay? There is this data warehousing.  It pulls from various databases, creates data visualization charts, et cetera, et cetera, pushes reports to executives and managers, right? So this is kind of small, but I'll explain what is happening here, right? There are various data sources in an organization from which data is sent, and it's pulled up into a big data ball, right?  I mean, Google's MapReduce.  They create beautiful charts, which we saw previously, and then they push it out, right? Now the executives and managers need to make informed decisions based on what is being thrown out. Now, is there something missing? Obviously there is a UX conference, so UX is missing, right? But how or why? Why should we introduce UX into this process, right? I would say that a visualization expert should be a part of this cycle, right? What is a visualization expert? Probably some companies have already used a visualization expert as a kind of, you know, job role. I'm not sure about that. We just want to introduce a new breed of UX folks called the visualization experts, now that we are all moving into big data. If they need 4.4 million data scientists, we need 4.4 million visualization experts, at least half of it, right? We should be responsible for creating order, not chaos. Right, apparently my team thought that this is a very, you know, attractive visualization expert. And so apart from the attraction that, you know, this emanates, what are the other qualities of a fine visualization expert, you know? The person should have a user experience, best practice knowledge, and then obviously a bit of domain knowledge, and then a bit of knowledge on the big data technologies, and then a bit of knowledge in the data visualization methods, right? A bit of is a very tricky term, right? I would give 100% importance to both these things, right? On the left side, domain knowledge and user experience best practices. Now when that is clear, the person would know what kind of, you know, objectives are needed by the company, what is the information that executives are looking for, you know, what are managers looking for, that will be clear if that is there. Now these are just guidelines, data visualization methods are guidelines. You can take a book, open it, you can find data visualization methods, simple ones. And then big data technologies, once we start conversing with these business analysts, you know, we just need to get acquainted with these things. So this is a typical role, blended role that a visualization expert needs to have, and every company which handles big data should have a visualization expert. That is something which I wanted to propose. And just a little bit of information, right?  One is, John Maida is a graphic designer, and he is an alma mater of, you know, MIT. He came up with a book called Loss of Simplicity, where he wants to create order out of chaos.  Even in, you know, perceiving them, how we can, you know, come up with simplicity, right? There are tech talks with John Maida, very interesting. So the key focus here is simplicity. That is very, very important. And then there should be business focus, right? By business focus, what I mean is that, you know, they keep on talking about data requirements, data requirements, but nobody talks to them, asks them to tell stories, right? They need to dream big. Walmart should say that, okay, I'm dreaming big. I should be the number one company. And then they should say, how do you want to become a big company, right? Make them tell stories. That is where we get business focus, right? And we cannot keep on, you know, dwelling on data. Data focus is a part of it, but we should also be focusing on business focus and user focus, right? And then finally, right, there is this very interesting phrase going on, design for volume, velocity, value and variety. If people have read, you know, big data papers, that's a very important thing that they say. But I should, we should say, right? We should design for scalability, priority, minimalism and usability, right? Most of these terms are very, very obvious terms, scalability, right? So what happens if data keeps on increasing? How would we design for that? We should keep that in mind, right? Priority. What happens if, you know, they say, okay, today our idea is to go to, you know, Latin American markets. Tomorrow the priorities may change. They should, they would say, you know, I want to concentrate on European markets. Priorities change. Minimalism, you know, keep the screen simple. Card diagrams wouldn't work, right? And then finally usability. So these, I think, should be the best practices. And then there is a simple example, right?  You know, we just look at things as a whole and then, you know, divide them into bits. You know, there are so many chairs. Changes to there are 50 chairs. Okay, there are red chairs, yellow chairs. So perception of how it is processed is we look at it as a whole and then, you know, bit by bit we digest the information and finally there is an objective. I need to go sit somewhere. We go and sit in an empty chair, right? That's how the perception happens. That is the same way in which we have to approach the big data UX, right? We have to dream big, as I said. Walmart dream, dream big. They dissected it into small elements. I want to concentrate on these markets and then they defined the pattern saying, okay, for this market I'm going to concentrate on one, two and three. Here, one, two, three and four. So those kind of patterns are formed and finally designed for decisions and then they win. But then the problem is we should never be convinced with our solution. We should keep on improvising, right? That is something which is key here. That brings us to the second part of the story, which is the successful story after we follow the big data UX cycle, right? There is Jane Doe, obviously a woman, I mean a woman wins, a man loses in our story, right? So Jane Doe comes in, puts the same request and this time there is a team which has visualization experts too. Now they come up with the dashboard, which is simpler. Though it's big data, it is simpler. There are so many users. This is the most time spent on a page. The most clicked button is buy and sell, which is clicked to a 20, 35 times. You want to look at it as a number, look at it. You want to look at it as a graph, look at it. And these are the top five screens that the users use. Simpler, right? Can anybody say that this is confusing? I don't think so, it's easy, right? It's easy to understand because it gives you insights, not just big data, insights, right? So what is the difference that we have between Jane Doe and Jane Doe, right? So yeah, we can get to the questions part. One minute, please. I'll just complete this. Bear with me, sorry about that. Right, so the difference here is Jane Doe uses key data and Jane Doe uses big data, right? This is decision-centric that lacks insights. Insights are what is going to propel your solution. This is user-centric, that is technology-centric. That, with that moral of the story in mind, I say that, you know, with your intervention, big data dashboards can reach a higher level of maturity. We don't need to get to a place where it is dark, can get to a better place, right? That's the idea, so I guess I'm on time.


Hi, I'm Allison Bucholtz-Au, and I'm a Program Manager on the Visual Studio Platform team. Today, we're going to take a brief tour of what's new in Visual Studio 2019. We're going to look at our enhanced start window, the UI refresh we've made, search improvements in the IDE, document health and one-click code cleanup, and finally, debugger search and stepping improvements. Let's go ahead and dive in to our start window and our UI refresh. With the enhanced start window, you can quickly clone or check out code from Azure DevOps, GitHub, or elsewhere. You can get started on one of your existing projects with open a project solution or folder buttons, which will open the file explorer, or you can pick up with a recent project or folder. You can also create a new project and check out our new project dialogue experience, which allows you to search and filter your project templates so you can quickly get to what you're looking for. If you'd like to just open the IDE without any code open, go ahead and click Continue Without Code here at the bottom. Now, let's switch over to an instance of Visual Studio that's already running. Here, you can see it looks quite different from Visual Studio 2017. We reduce clutter by minimizing the Chrome and compressing the menu bar up here to allow more space for what matters, such as your editor window. You'll also notice that the theme looks different as we've updated our classic blue theme. As you just saw, our enhanced start window allows you to quickly check out a repo, open an existing project solution or folder, or get started with a brand new project. With our UI refresh, we've added more space for the things that matter, a modern UX and updated theming so that you can quickly tell the difference between Visual Studio 2017 and 2019 when you have them installed side by side. Let's dive into the search improvements in the IDE. You'll notice I can hit this search bar up here by clicking on it or using Control-Q as a shortcut. As I type, you'll notice I get results almost instantly, and even though I've managed to misspell something, I'm still getting relevant search results. If we take a closer look at any of these search results, you'll also notice that we have the shortcuts here quickly so that you don't have to look through your menu commands in order to find those shortcuts. Finally, if you're not seeing what you're looking for, you can always quickly do an online search with this button down here. For a quick recap, you'll see that with our search, you can now activate it quickly with Control-Q. We've got fuzzy search to help with any misspellings as well as fast results. You can also look at shortcuts or search the web if you don't find what you wanted. Let's take a look now at document health and code cleanup. So down here in the scroll bar, you'll see that we have this warning indicator. This is our document health. This tells us if there are any errors, warnings or suggestions in our current open document. Right now, if I hover over it, it's letting me know I have 29 warnings and 18 suggestions, which is why it's this yellow yield sign. If there were errors, it would be a red sign, and if there are only suggestions, it'll be a blue. This may change as we're continuing to iterate on the design for this feature. If I right-click, you'll see that I can actually navigate to the next issue in the file or the previous. I can also do this with clicking on it or shift-click to go back. Now, if I go ahead and right-click again, you'll see that I have the option to run code cleanup or configure code cleanup. With configure code cleanup, I can actually look through and understand which rules I'd like to apply. This is similar to format document, except that instead of just taking care of your brace styling or margins or spacing, we can actually apply different refactorings and code cleanup fixes. You'll see that I have this apply implicit explicit type preferences set here, so I'll click okay. Now, if I want to run code cleanup and get rid of all these warnings here in my error list, I can do that by hitting this command or with the shortcut Ctrl-E, Ctrl-C. So if I run code cleanup, it will ask me to verify which rules I'd like to run. Now, since I've already had apply implicit explicit type preferences checked, I'm going to hit okay, and you'll notice that all of these change to var just as we'd like them to and our error list is clean, and we've got a clean bill of health from our document health indicator. With your document health indicator, you'll be able to understand whether there are errors, warnings, or suggestions in your open file. You can also run and configure code cleanup directly from this icon. For code cleanup, you can configure which rules to apply in the configure code cleanup command and change the direction of each rule in tools, options, text editor, code style. Finally, let's look at our debugger improvements. First, you can expect step improvements by up to 50 percent depending on the size and complexity of your project. But hopefully for those of you who spend a lot of time stepping through, you'll notice a significant improvement in the performance. Next, let me draw your attention to this window over here, in the autos, locals, and watch window. All three of these now have a search bar, which allows you to search through the items here instead of scrolling through, which is especially useful if you have many, many items in here. For example, I can search string just like that, and you'll notice that it takes me to the first time string is encountered. In this case, it happens to be a type, but if string were in value or name, it would also return search results for that. I can go to my next instance here, or if I want to dig deeper and expand any of these elements and search there, I can also search deeper. Right now, our default search depth is three, so that means it will open items three times and expand three times inward before it ends its search, but you can change this to whatever you'd like. You can also limit this search by searching only currently expanded items. So if you have many, many items or you're trying to scope the search, just to one particular object, you can set that. We hope that you'll try out all of these features and even more by downloading the Visual Studio 2019 preview. You can do this at aka.ms-vs-preview. If you want to know the full range of things we're introducing into each preview release, you can also check out our release notes at aka.ms-vs-preview-more-info. Finally, be sure to check out all the other videos here for Connect at aka.ms-connect2018.


Add Sut I Ym SSI is time for reflection and our time for reflection leader today is John Lawton, dean, chief executive of data lead and founder of Scran academy. Members of the Scottish Parliament, thank you very much for having me here today. It is an honour to address you. The last time I stood in the chamber floor to speak to this room I was in 2008, I was the chair of the youth parliament and I was speaking to a room of MSYPs so I can give feedback on who the tougher audience was. Today I want to share with you one story and perhaps unusually make one confession. The story is of a 12-year-old boy who changed my life.  We didn't see dad now and mum is always depressed on the couch. When I go to sleep I hope I didn't have to wake up and nobody seems to care about people like me. My life will never ever change. Powerful and sad words of hopelessness they remain etch deep onto my heart and words that typify truth for too many of the young people I work with today. We must use our platforms of power to not simply raise ourselves but to build ladders of hope for others to rise. Ladders like Charity Scrant Academy, which I founded five years ago and pivoted during lockdown to help thousands of people most in need. We witnessed the transformational power of local people with authentic lived experience becoming experienced and stepping up to be their own solutions. I promise to your confession that the boy in the diary was me. I stand here today as a proud working-class queer citizen who faced the bullies of trauma and poverty and I chose to not concede, to not give up and to dare to lead, especially in the darkest of times. Ever since my first wee campaign aged 11 in Pylton I try and act with bravery and passion to be an inspiring ginger example to others something we could all choose to do, maybe not the ginger part. We can and must redefine the paradigms of what is possible for people. We can let yesterday's scars become today's strength and I want people to know that our vulnerabilities can become the content of our voices. That is hope. We must have space for vulnerability and openness in our leadership models and examples of today. My purpose is really clear to me, to live today as the adult that the young boy in that diary needed and invite us all to do the same. We are all role models to a young person somewhere. Let's never allow this legislature to settle upon the notion that your life starting point is your life sentence. Let's never settle on the idea that some people from some places are just destined to fail or settle on the idea that radically compassionate change is somehow too big or too hard. Please stay impatient. Let's all build ladders of hope. Let's all be the adults that a generation of kids so desperately need.


Hi, I took asylum and immigration law this year at SOAS. It's been one of my favorite courses to have taken during my three years at SOAS. Clara and Lutz have been great lecturers. They really know what we're talking about and the lecturers themselves have always been very engaging and interesting and we've had some great class discussions. One of my favorite lectures was the UK Nationality Law Lecture so we talked about how someone can become a citizen in the UK and then how that citizenship can actually be deprived and can render you stateless such as the case of Shamima Bagel. There's also plenty of opportunities outside of this class to really engage further and apply the law that you've learned. There have been bail hearings that you can attend as well as a bail hearing clinic and for example I went on a field trip to the Docklands Museum where we visited a gallery on sugar and slavery so that went with our lecture on trafficking and yeah overall this course is really great. If you're interested in immigration law, asylum law, refugee law or just human rights in general, I would definitely recommend this course.


Welcome to Toffey TV, it is my three things, Everton 2, Norwich City nil today in the Premier League at Gwladyswn Park. Good win for Everton, not the greatest performance in the world by the Blues, but a win and that really is all that matters at the moment. Obviously missing key players and winning football games is never to be scoffed at three wins out of three for Rafa Benitez at Gwladyswn Park this season. First thing I want to talk about is Ben Goffrey, who was absolutely superb for us last season. He's had a slow starter this season, obviously Covid and stuff like that has really halted his progress and he still looks to be suffering a little bit from the effects. If that doesn't look up to speed, doesn't look the same, the same Ben Goffrey that we saw last season, definitely not. The reason I want to talk about him is there's a little fear that I have that unless we nail him down to a position, he's going to turn into a utility player. And while that isn't the worst thing in the world, I think we want to get him bedded in to his proper position, which is for me going to be a centre back and should be alongside Jeri Mina. I know it's difficult at the minute because obviously he is trying to play his way through this spell, trying to get up to sharpness, but he just doesn't look like a right back. I think he looks more comfortable left back because I think he just realises that his job is to stop the opposition wide player. Whereas I think on the right hand side, he's expected almost to get up and support the attack and I think he doesn't do that as much on the left, but obviously we want to look at the end there. But I'd just like to see him nail down that centre back position alongside Jeri Mina and I really hope that he's able to do that soon. I think with Mina's power and his head and aerial ability, it's just this natural defending that he likes to do. I think having the pace alongside him at Goffrey is, as far as I'm concerned, evidence best partnership. But I just don't want him his development to be stunted because we're using him in three or four different positions because he can play there. So, hopefully soon we get to see him alongside Jeri Mina in his natural position and let's see if he can develop there with Rafael Benitez, giving him instruction on the other members of the coaching side. Because for me he's definitely not a right back. The second thing I'm going to talk about today is the mentality of the squad, which was questioned last season on numerous occasions. I don't think so far this season there's been any evidence that the mentality of this squad isn't what it should be, if that makes sense. I'm not, it's very early and this might be a totally different conversation in January and February. But I've just been impressed by the way the squad has got down to work. I think having the fans there makes a huge difference. I think the fans today, Goulderson, didn't get overanxious and that made it easier for the team to stick with what they were doing and get the three points. But last season we saw at times they didn't look arsed and that might have simply been, there was no fans in the ground. I don't know, but I like the way there seems to be tempo setters, there seems to be people who are able to get others going. Andross Townsend being one of them, Adelaide Decorey being another. We'll talk about him a little bit more in a minute, but certainly the likes of Townsend, he sets the tone I think. I think that's why if Ben Godfrey can get up to speed because I think he did do that at times last season with performances. I think the more of those you've got in your side, the better. And obviously Retialison is one who works incredibly hard when he's in the side as well. So I think I've been impressed by the fact we've been able to manage things that have happened at the moment. You know, and let's be honest about it, for 10 minutes I feel it, things were mad. But other than that, it was a tight game, we were well in that game. You know, barely, yes, you can say it was us against barely, but we stayed in, even going behind, we hung in there and did well. Today's the first time we've gone ahead at home this season. You know, we've had to come from behind twice to win the previous two home games. So I'm impressed with the way the squad does seem to be a togetherness in that squad and a willingness to work hard, but the caveat to that is it is, it really does. You know, and we'll have to see whether they can carry that on. But if they can carry it on, then it could be a decent season forever. It still needs to add in the January transfer window, the squad needs padding out. There's no question about that, but it's good to see them get a key victory today. The third thing I want to talk about and finish on is Abdelhaid Y Cori, who was brilliant again today. My man of the match in the game, I think was seeing the player we bought from Wafford, was seeing the reason why I haven't pursued him for a couple of seasons. We didn't get to see it last season enough because he was too busy having to look after Hamers, Rodríguez, his area and doing other people's jobs as well. I think the manager was very, wanted them to kind of stay. I always remember the game against Newcastle a while last season when we lost in October on November. It was, we'd lost at Southampton a week before. And the Cori loads of times in that game was the deepest player. He was back and Rodríguez, the thing with that was Hamers wasn't even playing that game. And the manager had him off-corn as he was one of the three that he kept back. And I just remember thinking he's won, he should be breaking into the box for us. And we've seen that from Benitez so far and it allowed him to play with the freedom. He is everywhere, he's got boundless energy. He puts fires out everywhere, but he links the player as well. Okay, sometimes passing is a little bit astray or it touches a little bit heavy, but just the ability to get into the box and score goals. The second goal today is brilliant, makes himself available, makes a great run, stays it beyond the keeper to give us the three points. He's been magnificent for me and long made that continue. I think him and Alan are a really good partnership and Alan's been brilliant as well this season. It's almost as if they're just being allowed to play the game that they want to play and then that is natural to them. I was watching the second half, I was watching my natney Gordon come on. And I think the biggest thing this manager's given the team is a structure. I was watching Gordon because he was over on my side by the Bullens, out of possession. He was in shape, he was trying to help the fall back out because obviously he'd come on for times and didn't even know he had to do that job. And I think it's really good that players are keeping that structure. Even Tom Davies was on for five or ten minutes, worked his socks off, made sure he was where the manager had asked him to go. Lewis Dobbin did it on the other side. And I think that really helps, but the ones who were benefiting from it are the likes of the Coray and Alan. And I just thought the Coray for me today was absolutely superb. And if he can get himself into six or seven goals maybe for the season, then it'll be a matter of help to this team, especially now. You know, we were missing our chief goalscorer in Dominic Alvidlun and Richard Ellison at the moment. So you need those players to come up with goals, tans ends coming up big with the goals for us at the moment, albeit today was a penalty, but he still had the assist. Tom Ari Gray's got three goals already this season, so he's doing well. I think Meiner and Keane need to start chipping in. They're both big lads. They need to be getting on the end. I mean, our corners weren't great today, but they need to be getting on the end of them. And if the squad does that, then we'll be sound this season for goals. But the Coray's a big, big one in that. And when you see his natural game and the way he strides around and gets into the box, I think he can be huge for us this season. So I just felt like he needed singling out today because he was marvelous. So there you go. I've waffled on enough. There my three things. Let me know what you think in the comments section below. Give the video a thumbs up. It really helps the channel subscribe if you haven't. 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