my dear brothers and sisters I hope you all are doing fine and enjoying this lockdown Ramadan with lots of online webinars and distance learning lectures at the comfort of your home and with the flexibility of the time. I know we all are missing our message and going for Tarawih as Lailatul Qadr nights are already started Alhamdulillah Rabbana Taqabal Minna Inna Ka Anta Samiol Aleem May Allah Subhanahu Taala accept all our ibadahs and fasting. Amen.  So let's start our recipe now. So Bismillahir Rahmanir Rahim. So let's start our ingredients first. We are taking two medium-sized potatoes and we will boil this with half teaspoon of salt. Then we are taking half teaspoon of salt, one teaspoon of chili flakes, half teaspoon of dried oregano, half teaspoon of crushed black pepper, two tablespoons of chopped onions, one tablespoon of chopped garlic. If you don't have fresh garlic, this is fresh garlic. If you don't have fresh garlic then that's fine. You can use garlic salt or if you don't have garlic salt then that's fine. You can use garlic powder but the freshly grated garlic is better. One tablespoon of chopped green chilies, one cup of shredded mozzarella cheese. You can take cheddar cheese also. Both are fine. Half teaspoon of chili flakes, half teaspoon of crushed black pepper, half teaspoon of salt. We will use these ingredients for making our batter and we are taking two tablespoons of corn flour and two tablespoons of all-purpose flour. We are taking two to three cups of breadcrumbs. These are freshly made breadcrumbs. What you can do, you can use three to four slices of bread and then just blend it in the processor, food processor. So it would become like breadcrumbs. We are using half cup of water for making our batter. Oil for frying. So let's start our cooking now. So we are starting our first step and our first step is these are washed potatoes. We are putting over here and we will boil it. So Bismillah and now we will add this half teaspoon of salt in there. Bismillah. Now we will mix it. Bismillah that's it and now we will cover it up. We will boil this till that potatoes are fully boiled and they are tender and then we will drain it and then peel it. So our potatoes were fully boiled and tender. Then I drain all the water and I peel these potatoes and then here we go. Now we will mash these potatoes. So Bismillah. So our potatoes are fully mashed. Make sure there are no lumps in that. Otherwise it won't become a firm ball. So now we are adding all the ingredients in that. So Bismillahirrahmanirrahim. First we are adding salt. Salt and chilies are according to your own taste. So we already add half teaspoon salt in the potatoes. Now we are adding half teaspoon of salt in that and one teaspoon of crushed chilies and oregano, dried oregano. So Bismillah.  Yes here you go. These are all the ingredients. My hands are washed so now we are mixing it up. So Bismillahirrahmanirrahim. Potatoes and all the ingredients are mixed. Now at the end we are adding the shredded cheese in that Bismillah. So now we are mixing it. Yeah so all these ingredients are mixed in this potato. Now this is the time to make potato cheese balls. Okay here's the tip. You can use teaspoon to make these balls. So it will be all equal in size. So Bismillah for example. Don't use tablespoon otherwise it will become a very big ball and when we will fry it so then it will absorb so much oil. So Bismillah. You can make these balls like this with your palm. See I did not put any oil or water on my hand. So make sure these are even from all sides. So you can see it. So just make a teaspoon. Bismillah. Squeeze it. See it is all squeezed up. Now just make a ball. See so this is the perfect ball. Now you can put it like that and then complete all these balls. This is basically a very family kind of recipe because your kids will love to join you and this is very easy.  So just take this teaspoon of potatoes then just squeeze it and then give it to them. Then what they can do which what my kids do and then just roll it over here. So it will be even from all sides. Your kids can do it. So it is tried and tested recipe from my kid. Now this is our next step. This is two tablespoons of corn flour and two tablespoons of oil-purpose flour. So we are just adding water. Bismillah. Making a batter. So approximately we add a quarter cup of water. Bismillah. Yeah. So this is the consistency. It is thick. It is not very runny. It is thick. Okay. Now we will add the ingredients in that. So now we are adding these ingredients. Salt, chili flakes and crushed black pepper. Bismillah. First mix it up. Bismillah. Okay. So this is our next step. What I did I just take a tray or dish. So then I just put the cling wrap on that stick it. So now we will dip balls in the batter and then we will directly put on top of it. So this is our next step. Pick this ball first roll in the breadcrumbs. So we will enjoy very crispy coating at the end. Bismillah. We just rolled in the breadcrumbs and now we will put over here in our batter. Now we will put it over here. Then we will just roll it up. See this time at this stage just do like this. So all our breadcrumbs will stick in that and in the same time it will maintain its shape of it. Complete. All of these are like that. Bismillah. Dip it over here. Drain the liquid and then put it over here. So it sticks evenly. Now just do like that. So breadcrumbs will stick properly when you will fry it. So then their breadcrumbs won't get separated. So follow the same procedure with all these balls. Now all these potato cheese balls are completed coated with everything and now we will cover it up with this plastic and now you can put it in the fridge or you can put it in any airtight container also. The other thing you can put it in the freezer for one hour. We are putting this thing in the freezer so that they're coating the sticks properly. You can freeze them too. Once you will freeze them so then you can put it in the ziplock bag also and you can whenever you want it you can directly just fry it. So these are just like a potato cutlets. Whenever you need it you can just take it out and then just fry it. And now we just take it out of for an hour. I just add some oil for deep frying. When the oil is hot then we will start adding that. We will fry it on medium to high flame. So with these two potatoes we will make 16 to 17 balls. So after putting that make sure that you have to roll it so it will fry evenly. So just make sure keep them rolling keep them turning so they will equally fry and they will get even color. So now you can see this all these are fried and awesome aroma is coming too. Now we will take it out. You already put the pepper powder in the dish and then we are taking it out. So all these are fried. It should be like this when as soon as they are golden brown so you have to take it out. We are serving it with the ketchup and with sriracha mayo. You can serve it with tartar sauce also. I hope you will love this recipe. Don't forget to give me your feedback. Please remember me and my family in your prayers. It will be in lockdown so advance eat nubar. Asalaamu alaikum


From the CUBE studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is a CUBE Conversation. I want to welcome to the special CUBE Conversation, I'm John Furrier, your host. We're here for a special series leading with observability, and this segment is end-to-end observability drives. Great digital experiences, we've got a great guest here, Craig Hyde, Senior Director of Product Management for Splunk. Craig, great to see you, thanks for coming on. Thanks for having me, this is great. So this series leading with observability is a super hot topic, obviously with cloud native. In the pandemic, COVID-19 has really kind of shown cloud native trend has been a tailwind for people who invested in it, who have been architecting for cloud on premises where data is a key part of that value proposition. And then there's people who haven't been doing it. So out of this trend, the word observability has become a hot segment. And for us insiders in the industry, we know observability is just kind of network management on steroids in the cloud. So it's about data and all this. But at the end of the day, there's value that's enabled from observability. So I want to talk to you about that value that's enabled in the experience of the end user, whether it's a modern application or a user inside the enterprise. Tell us what you think about this end user perspective. Sure, yeah, thanks a lot for that intro. And I would actually argue that it would, observability wouldn't even just be machine data or network data. It's more of a broader context where you can see everything that's going on inside the application and the digital user experience. From a user experience or a digital experience management perspective, I believe those, the metrics that you pull from such a thing are the most useful and ubiquitous metrics that you have invisibility in all of technology. And when done right, it can tell you what the actual end result of all this technology that you're piecing together, the end result of what's getting delivered to the user, both quantitatively and qualitatively. So my background, I actually started a company in this domain. It was called Rigor and we focused purely on looking at user experience and in digital experience. And the idea was that, this was 10 years ago, we were just thinking, look, in 10 years from now, more and more people are going to do business digitally. They're going to work more digitally. And at the same time, we saw the legacy data centers being shut down and things were moving to the cloud. So we said, look, the future is in the users and where it all comes together is on the user's desktop or on their phone. And so we set out to focus specifically on that space. Fast forward 10 years, we're now a part of Splunk and we're really excited to bolt this onto an overall observability strategy. I believe that it's becoming more and more popular, like you said, with the pandemic and COVID-19, it was already on a tear from a digital perspective. The adoption was going through the roof and people were doing more and more remote. They were buying more and more offline, but the pandemic has just pushed it through the roof.  But there's also other things that are driving the need for this and the importance of it. And part of it comes with the way technology is growing. It's becoming much more complex in terms of moving parts, where an app used to be run off three different tiers in a data center. Now it could be across hundreds of machines and opaque networks, opaque data centers all over the world. And the only time you often see things, how they come together is on the user's desktop. And so that's where we really think you got to start from the user experience and work back. And, you know, all the drive in computing is all about making things better, faster, cheaper. But without this context of the user, often the customer and the experience gets left out from reaping the rewards from all these gains. So that sort of like encapsulates my overall view of the space and why we got into it and why I'm so excited about it. Well, Craig, I got to ask on a personal level. I mean, you look at what happened with the pandemic.  Folks that are on the entrepreneurial side say, hey, digital business is coming and they get it. And it slowly gets known in the real world, becomes more certain. But with the pandemic, it just happened all of a sudden so fast for everybody because everyone's impacted teachers, students, families, work, everyone's at home. So the entire user experience was impacted in the entire world. What was going through your mind when you saw all this happening and you see the winners, obviously, who people would invest in cloud native and data-driven technologies. What was your take on all this when you saw this coming? Well, the overall trend has been going on for decades, right? And so the direction of it isn't that surprising, but the magnitude and the acceleration, there's some stats out there from Forbes where the e-commerce adoption doubled within the first six months of the pandemic. So we're talking 10, 12 years of things ticking up and then within six months, a doubling of the adoption of e-commerce. And so like anybody else, you first freeze and say, what does this mean? But when people start working remote and people start ordering things from Amazon and all the other websites, it's quick to see like, aha, it no longer matters what chair somebody is sitting in when they're doing work or that they're close to a store and you have a physical storefront when you're trying to buy something. It's all about that digital experience and it needs to be ubiquitous. So it's been interesting to see the change over the past few months for sure. But again, it doesn't change the trend, it just magnified it. And I don't see it going back any time soon. Yeah, I mean, digital transformation has always been a buzzword that everyone kind of uses as a way to kind of talk about the big picture. It's actually transforming. There's also share shifts that happen in every transformation and any market shift. Obviously that's happening with cloud, cloud native edge is becoming super important. And all these, and by the way, all the applications that sit on that infrastructure which is now infrastructure as code has a data requirement that observability piece becomes super critical, not just from identifying and resolving but also for training machine learning and AI, right? So again, you have this new flywheel of observability that's really at the heart of a digital transformation. What should companies think about when they associate observability to digital transformation as they're sitting around whether they're CXOs or CSOs or solutions, architects going, okay, how does observability plug into my plans? Yeah, absolutely. I mean, my recommendation and the approach that I would take is that you want to start with the end in mind and it's all about how you set your goals when you're setting out and getting into digital transformation. And the late Steve Jobs to borrow one of his quotes, he said that you have to start with the customer experience in mind and work backwards to the technology. And so I think that applies when you get into an observability strategy. So without understanding what the actual user experience is, you don't have a good enough yardstick to go out there and start working towards. So availability on a server or CPU time or transaction time in a database, like those are all great but without the context of the goal you're actually going after, it's kind of useless. So like I said, it's not uptime, it's not server time, it's not any of that stuff. And it's user experience and these things are different. So they're like visual metrics, right? So what a user sees because all kinds of things are going on the background but if it can see that the person can see and their experience is that they're getting some kind of response from the machine then that's how you measure where the endpoint is and what the overall goal is. And so like to keep kind of going on with that it's like you start with the end in mind you use that end to set your goals you use that domain and that visibility to troubleshoot faster. So when the calls start rolling in then they say, hey, I'm stuck at home and I'm on a slow internet connection I can't get on the app and core IT is taking a phone call you can quickly look and instrument that user and see exactly what they're seeing. So when you do troubleshooting you're looking at the data from their perspective and then working backwards to the technology. That's super interesting. I want to get your thoughts on that. So just to double down on that because I think this highlights the trend that we were just talking about but I'll break it down into three areas that I see happening in the marketplace. Number one, availability and performance that's on everyone's mind. You just hit that, right? Number two, integrations. There's more integrations going on within platforms or tools or systems whether it's an API over here people are working together digitally, right? And you're seeing e-commerce. And third is the user patterns and the expectations are changing. So when you unpack those kind of like trends there's features of observability underneath each. Could you talk about that? Because I think that seems to be the common pattern that I'm seeing. Okay, high availability, okay, check. Everyone has to have that, almost table stakes but it's hard when you're scaling, right? And then integrations, all kinds of APIs being slinged around. You've got microservices, you've got Kubernetes people are integrating data flows, control planes, whatever. And then finally users. They want new things. New patterns emerge, which is new data. Yeah, absolutely. And to just kind of talk about that it reminds me of like a Maslow's hierarchy of needs of visibility, right? Like, okay, the machine is on, check. That's like you said it's table stakes make sure it's up and running, that's great. Then you want to see sort of the applications that are running on the machine how they're talking to each other or other components that you're making APIs calls to are they timing out, are they breaking things? And so you get that visibility of like, okay, they're on what's going on on top of those machines or inside of them or in the containers or the virtual machines or whatever segment of computing that you're looking at. And then that cherry on top, the highest point is like how is that stack of technology serving your customer? How's it serving the user and what's the experience? So those are sort of the three levels that we kind of look at when we're thinking of user experience. And so it's a different way to look at it but it's sort of the way that kind of we see the world is that three-tier, that three-layer cake. And you need all the layers. It's super relevant. And again, you can, it's better together but you can mix and match and have product in there. So I want to get into the Splunk solution.  Can you explain what that is and how that fits into all this? And what's in it for the customers? What's the benefit? Right, sure. So with the digital experience monitoring and the platform that we have we're giving people the ability to basically do what I was talking about where it enables you to take a look at what the user's experience are and pull metrics and then correlate them from the user all the way through the technical journey to the backend through the different tiers of the application and so on. So that technology is called real user monitoring where we instrument the users. And then we also layer in synthetic monitoring which is the sort of robot users that are always on for when you're in lower level environments and you want to see what experience is going to look like when you push out new software or when nobody's on the application, did something break. So we couple those two together and then we feed that into our overall observability platform that's fed with machine data. We have all the metrics from all the components that you're looking at in that single pane of glass and the idea is that we're also bringing you not only just the metrics and the events from logs and all the happenings but we're also trying to help tease out some of these problems for you. So many problems that happen in technology have happened before and we've got a catalog with our optimization platform of 300 plus things that go wrong when web pages or web applications or API calls start acting funky. And so we can provide based on our intelligence built into the platform basically run books for people to fix things faster and build those playbooks into the release process so you don't break the applications to begin with and you can set flags to where people understand what the performance is before and it's being delivered to the customer. And if there are problems, let's fix them before you break the experience and lose the trust for the user. So again, it's the metrics from the stats that are coming across the wire of everything all the way to the users. It's the events from the logs that are coming in so you can see context and then it's that user experience. It's a trace level data from where you can double click into each of the tiers and say like, what's going on in here? What's going on in the browser? What's going on in the application? What's going on in the backend? And so you can sort of pull all that together in a single pane of glass and find problems faster fix them faster and prevent users from having problems to begin with and to do this properly, you really need it all under one roof and so that's why we're so excited to bring this all together. You know, I've been saying on theCUBE since for 10 years now we've been 11 years on 11th of the year doing theCUBE but digitally can measure everything. So why not? There should be no debate if done properly. So that brings up this whole concept that you guys are talking about full fidelity. Can you just take a minute to explain what that is? What is full fidelity mean? Sure, you know, full fidelity really comes down to a lot about these traces. So when we talk about metrics, logs and traces it's all about getting all the activity that goes on in an application and looking at it. So when, you know, when you or I interact with our, you know, our company's app online and there's problems that the person who's going to fix this problem they can actually see specifically me. They can look at my experience and look at what did it look like in my browser? You know, what were all the services that I was interacting with and what was it, what was going on in the application? What code was being called? What services were being called? And look at specifically me as opposed to an aggregate of all the domains all put together. And it really is important from a troubleshooting standpoint it's really important from understanding the actuals because without the full fidelity and capturing all of the data you're kind of going, you know, you're taking guesses and it eliminates a lot of the guesswork. And so that's something that's special with our platform is that ability to have the full fidelity. When does the client, a customer not have full fidelity? I might think I have someone sold me a product. What's the tell sign that I don't have full fidelity? Oh yeah, well with observability there's a lot of tricks in the game. And so you see a lot of summary data that looks like, hey, this is that one call but usually it's knitted together from a bunch of different calls so that it's summary data just from because this stuff takes up a lot of storage and there's a lot of problems with scale. And so when you might see something that looks like it's this call, it's actually like in general when a call like this happens this is what it looks like. And so you've got to say like, is this the exact call? And it makes a big difference from a troubleshooting perspective and it's really hard to implement. And that's something that Splunk's very good at, right? Is data at scale. It's the 800 pound gorilla in machine collecting and slicing part machine data. So like you have to have something of that scale in order to ingest all this information. It's a hard problem for sure. Yeah, totally. And I appreciate that. Well, I got you here, you're an expert. I got to ask you about open telemetry. We've heard that term kicked around. What does that mean? Is it an open source thing? Is it an open framework? What is open telemetry and what does it mean for your customers of the marketplace? Yeah, I think of open telemetry as finally creating a standard for Howard collecting data from applications across APM. In the past it's been one Z2Z here and there each company coming up with them, hit themselves. And there were never any standards of how to look at transactions across data across applications and across tiers. And so open telemetry is the attempt and it's a consortium. So there's many people involved in pushing this together. But think of like a W3C, which creates the standards for how websites operate and without it, the web wouldn't be what it is today. And now open telemetry is coming behind and doing that same thing from an observability standpoint. So you're not just totally locked into one vendor in the way that they do it and you're a whole held hostage to only looking at that visibility. We're trying to set the standards to lower the barrier of entry into getting to application performance monitoring, network performance monitoring and just getting that telemetry where there's standards across the board. And so it's an open source project. We commit to it. And it's a really important project for observability in general. So does that speak to like the whole more data you have, the less blind spots you might have? Is that the same concept? Is that some of the thinking behind this? It enables you to get more data faster. Now, if you think about, if there are no standards and there are no rules of the road and everybody can get on the road and they can decide if they wanna drive in the left lane or the right lane today, it makes getting places a lot harder. And the same is true with open telemetry. Without the standards of what, the naming conventions, where you instrument, how you instrument it, it becomes very hard to put some things in a single pane of glass because they just look differently everywhere. And so that's the idea behind it. Well Craig, great to have you on. You're super smart on this and bleeding with observability. It's a hot topic. It's super cool and relevant right now with digital transformation as companies are looking to re-architect and change how they're going to flip the script on software development, modern applications, modern infrastructure, Edge. All this is on top of mind of everyone's thing on their plants. And we certainly wanna have you back in some of our conversations that we have around this on our editorial side as well, when we have these clubhouses and we're gonna start doing a lot of those. Definitely wanna bring you in. I'll give you a final word here. Tell us what you're most excited about. Put the commercial for Splunk. Why Splunk? Why are you guys are excited? Take a minute to get the plug in. It's so easy. Splunk has the base to make this possible. Splunk is like I said, it's 800 pound gorilla in machine data and taking in data at scale. And when you start going off into the observability abyss, the really, really hard part about it is having the scale to not only go broad in the levels of technology that you can collect but also go deep. And that depth when we talked about that full fidelity, it's really important when you get down to brass tacks and you start implementing changes and troubleshooting things and turning that data that you have into doing so understanding what you can do with it. And Splunk is fully committed to going not only broad to get everything under one roof but also deep so that you can make all of the information that you collect actionable and useful. And it's something that I haven't seen anybody even attempt and I'm really excited to be a part of building towards that vision. Well, I've been covering Splunk for many, many years, 10 years plus I think since it's been founded and really the growth and the vision and the mission still is the same. Leveraging data, making use of it, unlocking the power of data as it evolves and there's more of it. And it gets more complicated when data's involved in the user experience end to end from cybersecurity to user flows and new expectations. So congratulations, great product. Thanks for coming on and sharing. Thanks again for having us. Okay, this is John Furrier on theCUBE. Leading with Observability is the theme of this series and this topic was end to end observability to enable great digital experiences. Thanks for watching.


I know what looked different me zoom in some girl. This is different a lot has happened This is a chitchat video girl.  We're gonna put her down some so y'all can see this hair is dirty It's been probably almost a month since I've done something So y'all y'all know how this chitchat goes we talked about what's going on my personal life We talked about what I'm watching on YouTube and what I'm watching on TV. So y'all while we're doing this I'm gonna be organizing my nails. Oh, sorry y'all I'm gonna be organizing my nails stuff so that I can do my nails later on ain't doing it now cuz I'm busy a Lot has happened. Let me put this hair back up girl. I'm hot If things look different first off, hey, how y'all doing? If things look different, that's because we have moved We have moved into our short-term lease apartment out here in lovely Phoenix, Arizona Girl, but these prices ain't lovely. Oh my god I know that most of you are aware where you're at the price for rentals for apartment rental is skyrocketing It is absolutely crazy Um We're paying 2100 for short-term lease typically will be 1800 even that's expensive. Hell that's Both of those are more than what our mortgage was um Very anything but when it's plumbing because I'm in the bathroom. This is the only place I could feel that So we moved from an almost 2000 square foot home into our 1100 square foot apartment honey Most of the stuff that was in my woman's shed sheet room get the hell out of my face room It's in storage. We had to put all of the decorations pictures in storage We sold our treadmill Massage chair is at my neighbor's house. So yeah, we had a lot of big furniture the dining room table is in the um Storage unit and so yeah paying monthly for this and change, but it is what it is So our home went up for sale a couple of days ago. We are very excited. Um a little bittersweet Because that is our first home together It is the only home that jay b has known and so I think jay b's a little sad about moving to you guys But he's also excited. He really is so that's kind of hot in the bathroom Anyway, he's still he's excited about it.  Um recently got a house. It is tiring moving and mind you The person upstairs. Sorry y'all mind you it's been a while since we both have moved together and we have acquired We're we don't really have a lot of stuff, but it doesn't matter So yeah, it is what it is. We made it work. We're here. So the move's happened. Um JB has uh entered the school school. I used that lightly So y'all there's no way in between the move in between looking for a new house My job is getting busy. Um, just a lot of personal stuff going on. I just I honestly didn't do any homeschooling the last two weeks because I didn't have the time And so when I tell you everything I don't keep saying this Everything happens for a reason. God will direct you your steps if you give it to him, okay And I honestly do believe that and I know this in my heart. Okay, so I encourage you. Um, so I was a little upset because I'm like I can't homeschool anymore And when I tell you I was upset. I was upset. I was crying. I felt like a failure Even JB at one point. I'm getting choked up y'all even JB at one point. He was like mama Do you think I'm not learning? I am learning.  Thank you. So at first I tried to look into public schools public schools Speaking to other moms there and the covid numbers are out of control y'all I know they're out of control everywhere, but Phoenix is crazy. Um, and it's affecting the staff. There's hardly any staff available The teacher turnover is going up. The kids are going out.  What now is the opportunity? So I reached out to the to the director very lovely woman older woman in her probably uh early 60s Very very lovely lovely individual. She's an advocate here. She's a um, uh, civil rights right of my alley, right Spoke to her and lent about what's going on and she said we absolutely have one for him They have several micro schools here in the valley that they've opened And they've been partnering with uh, what's called prenda that has their own curriculum And the reason why I was a little suspicious at first because prenda Have been in the headlines because we want to ensure. Okay, it's this legit or what but actually they are because They get funding from the from the government and the government don't play about their money Excuse me for the um from the state. Yeah, the state don't play about their money So you got to be legit in order to get that funding as a school, right? So even better um, this particular school apartment with another school in downtown phoenix to where It's basically for micro schools in this building and so jay b is part of this school one of the schools Excuse me that only has 10 people in his classroom 10 There's a teacher and a um, what do you call it teachers aid? um, and the teacher I spoke with her in length and she's been teaching public school out here in the valley for five or six years And baby the icing on the cake I could cry y'all the icing on the cake and this is jay b's first black teachers And this is the first time where he was not the only black boy in the classroom. So amen to that um I like I said I can tell where you know, so he enjoyed it. I was a little nervous yesterday Was his first day.  I'm like, how was it, baby? He's like it was good. I liked it I'm like, oh, thank god It is school in a non-traditional setting. They have bean bags. They have couches They spend about 90 minutes on their own laptops learning Um, if they read they go to the to a bean bag I mean, it's very they can choose what they want to do The teacher did tell me that they're going to go ahead and assess him because I told her best I'm a little cautious because in certain areas, he's in first grade second grade And in certain areas, he's in third grade And so she's like, no, let's just go ahead and put him in third grade so that he could be socially and emotionally with other kids His age and we'll just work with him. I'm like, okay, cool So linking at his work. He brought home. I could definitely see a difference and he even told me that He likes working with other kids. So, you know You have to work was figure out what works best for your child and in this type of setting This works best for him again. It's called a micro school and it is legit. I looked it up, honey. They use they do use standardized curriculum Um, but again, they tailor it to the learning needs of the child. So yeah, we're happy about that Girl and now I need to really get back on the self-care bandwagon Um, I kind of slipped off because I've been so focused on doing everything else, right? So I hadn't been doing my facials. I hadn't been doing my feet I mean just I have been taking care of myself not just appearances. I haven't been sitting down Meditate me doing my stretches. I just haven't been taking care of myself So today I'm going to go work out the gym here is banging. I mean they have everything they even offer spin classes I'm like, yeah for $2,000 a month. I better lose weight The gym here is amazing. So my husband and I go work out in the morning Um, I do a little bit of I'm starting slow because my new I haven't worked out in a while y'all like months So I start on the cardio I do cardio for a little bit and then I do some weights And so my goal is to Lose 25 pounds. I need to lose 25 minimum 25 pounds because I'm sitting in a good size I haven't gained any weight if anything I've lost weight since you know, y'all haven't talked to me I've lost weight. I've lost like two pounds, but I need to get down onto a healthier size. I mean, I'm at a size For its dress size. I'm a 10 I need to be like a six eight like seriously like I'm only five to you guys like I have a small frame I know I have a bigger than like personality, but I have a small frame So a size six eight will look good on me size 10 12. I'm looking still I'm looking very full I look good Am I listening complaining? But this is about health. Okay So yeah, girl, that's what's been going on. Let me show you guys some product reviews that are coming up I know y'all want to know what what what type of hair products you're doing. Okay, hold on girl. Hold on All right, you guys so Oh, hell, I forgot I got this fellow with y'all. Hold on y'all Let me move this nail stuff out the way. I'm gonna do my nails and nail tonight. Um So yeah, this is gonna be interesting because I used to do my Reviews in a bathroom. Um a while back. So yeah, let me know if the lighting and everything looks okay So we already know what we talked about. Um as far as first life. So coming up as far as product reviews Now since jb's is in the school and it's kind of quiet here. I do have the time Girl apartment living is not for the faint of heart But I do have the time to do it. So I have three products here. I'm going to show y'all and somebody sent me some mystery stuff Was this new tea? Did you send me this? I want to show y'all a minute. Hold on y'all. Hold on. I'm gonna show y'all So yeah, I know what's coming out. We have the D'Avora fatica wild cactus deep conditioning Let's let that zoom in some This will is coming up. Okay deep conditioner. Let me look at this y'all Okay, it's sealed.  We'll wait to the review Excited to try this We have the Atoah Bailment deep conditioning treatment. I know y'all been waiting on this for months This will come before the D'Avora fatica And then baby, I don't know how I'm gonna do a shower video in here, but I guess I can Um, because I have two wash day videos. I don't want to feel I'm looking over here. Y'all. I'm sorry I have two wash day videos. I want to want to film and technically. Yes, you can Review products outside of the shower But for me personally, I find that if you're going to do a review of a shampoo and conditioner Your hair needs to be under steady stream of water, right? Don't you agree with that? Yeah, I thought you did So swabs luscious curls shampoo Okay, so again in order Atoah D'Avora fatica swab and then I have another Wash day video. I think I'm gonna do affordable hair care Um, because I think I have some cream of nature stuff in there. Yeah, I need to get rid of stuff Like when I tell you let me show you This right here was full both of these was full of hair products I can't take that. I can't pack that for texas. So I gotta use as much as possible. So One of you or somebody I didn't see anything on the note. Let me see Sent me some products I was trying to look for your email girl because I I used to have that Um, let me know if you sent this to me t or if you if you know, let me know Someone sent me the complete line Um, but the travel size of the pattern by tricey ellis ross. Did I say her name right? Yeah So we have her hydrate mist We have a curl gel Grind or go all this we've got shampoo conditioner Leaving conditioner Styling cream now this stuff is travel size. So it will probably get used in one usage girl all this hair Strong gel. Did I get a note in here? I didn't even check to see girl I don't know who sent to you guys. So if it was you t. Thank you I really appreciate This and no, I will not be doing a review on these products because they have mixed reviews Did y'all see that but even then I don't want to Review that so in addition to the products that I showed you that I'm going to be reviewing Nez it a gay angel Nezzy naps She was telling me that she recently used and I saw her video of the blue magic cholesterol And it was I did first of all, I didn't even I didn't even know that blue magic made cholesterol Did y'all know them? But I didn't even know that blue magic made cholesterol. And so she said it was really good for her hair. So um, I'm gonna copy her and I'm gonna copy her and um by one of those like a later on closer to the winter time because I probably this is going to stretch out just those through through reviews including the affordable wash day I'm gonna stretch that out y'all over three or four months. It is what it is. Um There was something else I want to bring as far as Oh styling hair videos. So yes, um Okay, I'm looking down you guys I have no idea. I was gonna do that flexi rod and take one of um Busby's videos for the flexi rod set. I don't know what I did with my flexi rods I have no idea where they're at if I can find them I will do the video. I'm not buying anymore because I have tons of them. They're packed away somewhere So hopefully I will find them and do a flexi rod set. If not, y'all want to see a uh jumbo perm lock set? Let me know in the comments. So Yes, that's hair related videos coming up Golly. All right, y'all what I'm watching on youtube girl. Nothing Nothing, I'm trying to think of but let me look at my history JB's looking at a bunch of stuff Girl, what do y'all think about the Met Gala? They're just not this is like the day afterwards by the way and they're showing all the pictures.  I guess she's she's in true form then is what she was doing. Um Let me see y'all what I'm watching on youtube Um, yeah, the Met Gala was yesterday and I guess they're showing all the pictures best dress I don't know you guys. I try not to be a conspiracy theorist. I try not to read that way But that was just something very And maybe it's just it's just highly weird. You know what I mean? I don't get I don't know. It's just something very odd about that entire What do you even call it that entire event? It's just very odd and strange to me I'm like, can we go back to wearing ball gowns and nice black tuxedos? Do you have to come out and I get they have a theme every year, right?   I'm not feeling it. But anyway, not really watching much on youtube That's why I was going to look at my history job. JV took over my phone. I'm not really watching youtube Oh, this is what I am watching on youtube. I'm watching old episodes of divorce divorce court with judge Lynn I'm addicted to it. I can't stop watching it. Um, yeah old episodes of divorce court. Y'all these people are crazy in these relationships That's about it. I'm not really watching a lot. I did catch a few african exports videos And he's really blowing up when it comes to his feats, but I haven't really caught anything alive from him lately Um I'm noticing a couple of people coming back and leaving coming back and leaving I know is that shawry jay said that she would shawry jay Is she gonna cut her hair again? Like she get damn much of something y'all don't quote me on that um Girl, you need to stop going to tasha. What's that? What's that white girl name? Is you know what no, you know how she got damaged the first time Remember when she did the cream of nature did she do the cream of nature? You guys Was it cream of nature or african pride that came out that line came out with a line of hair color She did it I remember they sent some stuff to my stylist or let's pender And she wanted to color my hair and I said no I said no, I'm not gonna put it. She she already knew it. She's a guy. I kind of figured she wouldn't do it I said no, I don't Yeah, so shawry jay posted like a couple of months ago.  But back then She went and She had the coloring she had the coloring done that she had the strengthening that she had It was just too much back to back And I'm sure it messed up her ferocity, but lately I don't think she's really just been taking good care of her hair and I know that she's had a lot of loss Speaking of shawry jay She has experienced a lot of loss over the few years. I mean getting out of that relationship Then her father died then her mother died um And so that can all have a devastating effect on your body and your hair Um, and you know, we've all seen at least I think some of us has seen some of the videos of people who Uh, sometimes the title may be uh, she hasn't washed her hair in six months or she hasn't detangled hair A lot of that is due to depression you guys, you know, I mean a lot of people not a lot But some people will neglect their their hair and their body. They're just when they're under Under severe depression and it happens. Okay, it happens. And so Yeah, it's really sad. So I hope I I don't know sure. I'm not seeing that shawry jay is depressed I don't want to put that out there. I'm just saying that Your mental state how you are dealing with things can have a Effect on your physical appearance because that makes sense. We all know that by now. So anyway Enough of that what I'm watching on tv girl. I've been watching a lot of tv Not watching a lot of youtube youtube watching a lot of tv. So let me tell y'all what I'm watching. Okay, nine perfect strangers This show is giving me so much anxiety. Like I'm like, what's gonna happen? What's gonna happen? What's gonna like I'm waiting for someone to just show up or I'm waiting for them Okay, let me let me back up and tell y'all who's in it. Nicole Kidman Finance he ain't on my side of the team. Luke Evans. Y'all I always thought that Luke Evans was so fun to me Melissa McCarthy. I'm looking down um, Michael Shannon Regina Hall Some other people that I really don't know. Melvin Greg is the brother.  Yeah, so But it's really interesting. Like she's give I don't want to give it a lot away But it's the unknown that's making me a little What's going what's going to happen? Right? So I'm on episode what episode are we on y'all? Like episode five or six. I'm keeping up with it because I like it comes on every wednesday. It's on hulu So, yes. Yes. It's called nine perfect strangers. Okay honey I don't know how I feel about this clickbait Clickbait. Did y'all did y'all realize the black woman was the woman from get out? No, no, no, no, no, no, no, no The um housekeeper. Yeah, I didn't recognize her at first, but clickbait is on netflix Very interesting very different. Um Again, I'm not gonna give any spoilers. It was good It was I was on the edge of my seat, but I'm not sure if I liked how It turned I really didn't like that I know I'm not with the masses when I say that but I don't like the way I don't like this the surprise at the end. I didn't like that surprise But overall it was still a pretty good sitcom. I'm just using a pretty good series. I'm in clickbait. I believe it's on netflix honey ah ahs First of all, you have again, that stands for american horror stories You have the american horror stories this series and I believe we're on season 10 But then you have a hs hs. I can't talk Where they do a different type of Show every episode Don't really care for that one, but I still am watching it. But this one I don't I'm not sure what the theme is again. I don't know if these are vampires. I don't know if these are um Child I don't know what they are. So it still has some of your regular characters Let me find the crash y'all. Sarah Paulson. I was close lily rave evan peters um You have francis conroy matthew mccun- no mat- mat- matthew um, mccole colkin Y'all mccole colkin is in it. So uh, very interesting again the theme I don't want to give any spoilers away if you're interested by the theme I'm not even sure what they're supposed to be girl. But it's I like it. I like this season. It's not too dark I can roll with it. I'm not that scared. I can get it. I can dig it. Okay So yes, um besides that I watched false positive with that fine-ass pierce whatever Um, he's just girl. I follow him on What else did I watch that made me like I watched welcome home roscow jinkins. I love that movie It's just a cute movie um Besides that you guys you know that was Well, really really was sad that occurred within the past week or so and my heart just breaks For her it's the passing of greg leeks nini leeks husband. I mean I I personally was watching um Real housewives of atlanta's From the first season I stopped around season seven because then they got a little old So I saw him, you know, and I got to know who he was and he was just a really good stand-up guy Even when they went through the through their divorce and got remarried I could really just tell that and again, we don't know what happens behind closed doors, but He always stood up for nini, you know, I mean he always had her back Um, and I could really tell that they were just madly in love A following nini on instagram and she was posting separate times and I can only imagine I didn't know that his cancer had returned. I had no idea Um, and that's just sad that really is so prayer is out to her. It's That's a lot. I couldn't imagine. I just couldn't imagine that so On that note, you guys that is it. I don't want to leave it to somber But I hope you guys are doing well. Please stay safe out there and Be on the lookout for these reviews are coming, baby. All right, you guys take care. Bye You


I'm Valeria New-Delhi and I'm going to talk about monads and quantitative equation theories for non-determinism and probabilities. The results I'm going to present are based on collaborations with Matteo Mille, Moitfilippo Bonchi and Anna Skolva. We are interested in programs that combine together non-determinism and probabilities. And you can see here an example of such a program using a transition system semantics. And as you can see here we have a state x that can non-deterministically choose between two different transitions. And these transitions actually reach probability distributions over states. If we take the left hand transition we have a probability distribution assigning probability one-half to x1 and probability one-half to x2 and with the right hand transition we reach x3 with probability one-third and x4 with probability two-thirds. So we represent the combination of non-determinism and probabilities via transitions that reach sets of probability distributions. And the fundamental problem in program semantics is verifying whether two programs are equivalent. And when we have two programs that have probabilistic information we can actually have a final look at program equivalence and talk about program distances. As you can see here we'll have two programs and the second one has a possibly small variation given by epsilon in the probabilities. And in this case we would like to say that the two programs are not just not equivalent but they are at the given distance possibly bounded by epsilon. And so this means that we want to talk about matrix or distances on sets of probability distributions. Moreover since we're talking about computational effects such as non-determinism, probabilities and their combination we want to model these computational effects using monads and also exploit the correspondence between monads and equation on theories. And when we study program distances this means talking about monads on metric spaces and quantitative equation on theories. So in this talk I will try to tell you about all this by focusing in particular on the case when we have programs combining on determinism and probabilities. So let me start by recalling monads and their correspondence with equation on theories. When we have a monad in the category of sets so given by a fun to reunite and multiplication we sometimes can find a corresponding equation on theory defined in the usual sense of universal algebra so given by a signature and a set of axioms. And formally this means that the equation on theory gives a presentation of the monad that is to say that we have an isomorphism of categories between on one side the category of i-lember more algebras for the monad which is a category of algebras defined in categorical terms and on the other side the category of algebras or models in the usual sense of universal algebra of the equation on theory. And when we have such a presentation and so such an isomorphism we can derive interesting results such as fact for instance that given a generating set x the set of elements given by the monad over x is actually isomorphic to the set of terms induced by x and the signature of the equation of theory modulo the axioms of the equation of theory. But let me give you some example and let's start from the case when the computational effect we are considering is non determinism. And as you can see here when we have an deterministic program we have transitions that reach sets of states for instance here x reaches the set of states given by x1 and x2. And indeed we can model this computational effect using the power set monad which assigns to a set x the set of non-empty finite subsets of x. And we have an equation of theory which is a presentation of the power set monad and it is the equation of theory of similarities. This theory has one binary operation this non deterministic plus representing union of sets and as axioms associativity commutativity and idempotency for this operation. Another example is given by probabilities so when we have a probabilistic system we have transition reaches probability distributions over states and indeed we can model this computational effect using the distribution monad which assigns to a set x the set of probability distributions on x which are finitely supported so that assign a non-zero probability only to a finite number of elements of x. And again we have a corresponding equation of theory so an equation of theory representing this monad which is the equation of theory of convex algebras. This theory has infinitely many binary operations as signature this plus p for any p strictly in zero one which denote distribution assigning p to the left hand side and y minus p to the right hand side. And as axiom we have the probabilistic versions of associativity commutativity and idempotencies for for these binary operations. And now the question is what happens when we want to combine together non determinism and probabilities so what is the monad that we have and what is an equation of theory for reasoning about non determinism and probability? Well to answer this let's go back to our example so as we said when we have programs combining non determinism and probabilities we have transitions which is sets of probability distributions but we have a weather problem here because the combination of powerset monad and the distribution monad which would indeed give us sets of probability distribution is not itself a monad. This is a well known result from Baraka's PhD thesis and we have a weather solution which is to use convex sets of probability distributions. Indeed as we'll see this gives us a monad. A set of probability distributions is convex if whenever we have two probability distributions in the set then the set also contains the convex combination of such distributions meaning that it contains also all distribution assigning probability p to the first one and probability y minus p to the second one. And considering convex sets it's not just interesting from a theoretical point of view because it gives us a monad but it's also interesting from a concrete point of view since it accounts for probabilistic schedulers. So the idea that a scheduler that chooses between different non deterministic transitions can also choose to probabilistically combine such transitions. So as we said when we take convex sets of probability distributions we have a monad. The monad of convex sets of probability distributions has a functor associating to a set x the set containing all the sets of finitely support probability distribution over x that are non-empty, convex closed so that closed under convex combinations of such probability distributions and finitely generated meaning that such convex sets can always be obtained as convex combinations of only a finite number of probability distributions. As a unit of this monad we have function assigned x the singleton containing the probability distribution assigning 1 to x and as a multiplication we have a function that takes a set delta 1 delta n of probability distributions over convex sets and returns the union of the weighted Minkowski sum of such probability distributions. And the weighted Minkowski sum is a well known operation which given a distribution over convex sets returns the set of distributions that are given by choosing an arbitrary element for each of these convex sets and then weighting it with a weight given by distribution in the set. And now that we have a monad combining the determinism and probabilities we can wonder what is the equation of theory corresponding to this monad and for the monad of convex sets of distributions we indeed have an equation of theory representing the monad which is the theory of convex similarities. This theory has a signature the signature of similarities so then on the deterministic plus and the signature of convex algorithms so all these probabilistic pluses and as axioms as the axiom of similarities the axioms of convex algebras and the distributivity axiom which basically tells us how the probabilistic plus distributes over the deterministic plus and which allows us indeed to derive convexity and the presentation of this monad using convex similarities was proven in recent work with Filippo Bonke and Anna Sokolova and we have applied it to verifying trace equivalents of label transition systems combining non-determinism and probabilities. But now we want to move as we said from program equivalences to program distances and for doing so we needed to move from monads on sets to monads on metric spaces. So first we are moving from the category of sets to the category map of metric spaces which is the category having as objects metric spaces so pairs given by a set and a distance on pairs of elements of a set and having as morphisms functions between such metric spaces that are non-expansive that is to say functions on the sets which do not increase the distances and now when we have a monad in the category of sets we can try to lift it to a monad in the category of metric spaces and when we do so we will have a functor that associates a metric space xd here to the metric space having a set the set of elements given by the monad over x and then as a distance the distance obtained by lifting in some way the original distance d to the set of elements of the monad over x and then as a unit and multiplication we can use the same unit and multiplication of the monad in sets but we have to prove that they are non-expansive and if we can do so we have lifted the monad from sets to map and indeed this is something that we can do for the monad of convex sets of distribution if we take the monad of convex sets of distributions in set we can lift it to a monad on metric spaces by defining a functor associating to a metric space xd the metric space having a set the set of convex sets of distributions over x and as a distance between such convex sets of distributions the house of lifting of the contour of each lifting of the original distance d what does this mean well we start from some distance d between the elements of x and then when we have probability distributions over such elements we can lift the distance d to a distance between probability distribution using the Cantorovich lifting so the Cantorovich lifting of the distance gives us a distance between probability distributions and then when we have a set of such probability distribution we can use the house of lifting to compare such sets and so the house of lifting of the Cantorovich lifting of the distance gives us a distance between sets of probability distribution and here it's actually important that such sets of probability distributions are convex and finitely generated as this gives us compact max which is needed in order to apply the house of lifting and so this is the way we define the functor of our monad in met and then we have the unit and the multiplication which are defined as for the monad of convex sets of distribution in set but that we have to prove to be non-expansive and indeed that this is what we have explored in recent work together with Matteo. And now that we have a monad on metric spaces we can try to reason equationally about this monad and to do so we can use quantitative equation of theories. The framework of quantitative equation of theories is a framework recently introduced by Mardare, Palangadan and Plotkin which allows us to move from equation to quantitative equations so equations between terms that now are endowed with some quantity epsilon that denotes that the two terms are a distance at most epsilon. Then we have quantitative inferences which tell us how given some distances between variables we can derive distances in terms possibly containing such variables and so given a signature and a set of quantitative inferences we have a quantitative equation of theory and from a semantic point of view the models of this quantitative equation of theories are quantitative algebras that is algebras endowed the metric and satisfying the quantitative inferences in the theory. And formally we have that quantitative equation of theory is a presentation of a monad on metric spaces if we have an isomorphism again between the category of Eilembermuir algebra for the monad and the category of quantitative algebras or models for the quantitative equation of theory. And now we can study specific quantitative equation of theories that present monad on metric spaces we are interested in and indeed if we take the monad of convex sets of probability distributions on metric spaces we have a presentation given by a quantitative equation of theory of convex similarities which is the theory that has the signature of convex similarities so then on the terministic plus and the probabilistic plus and as quantitative inferences we have first of all the axioms of convex similarities where an axiom is now embedded in the quantitative equation of theory by transforming it into the quantitative axiom assigning distance zero to the terms. And then we have two inference rules the first inference rule is a quantitative inference that was already known from the word Mardare, Panangad and Plotkin to correspond to the house of lifting somehow and this rule tells us that whenever we have some distances between terms and we compose the terms using the non-deterministic plus then the distance of the composed terms is at most the maximal distance between the variables and the second rule is again a rule that was already known to correspond to the counter-ovic lifting and that tells us that whenever we have some distances between variables and we compose the probability distributions over such variables then the distances between such probability distributions is bounded by the convex combinations of the distances of the variables with using the same weights. So we have proved that the quantitative equation of theory of convex similarities is a presentation of the monotone convex sets of distributions on metric spaces. As a corollary of this presentation by looking at three algebras we obtain a representation result which tells us that if we take the metric space having a set the set of convex sets of distributions over x and as a distance the house of lifting of the counter-ovic lifting of the distance well this is actually isomorphic to taking the set of terms of the signature of convex similarities modulating the axioms of convex similarities and as a distance the distance given by the quantitative equation theory that is to say the distance assigned to any pair of terms or to any pair of representatives of the equivalence classes the minimal distance that we can derive in the theory between such terms and so this gives us a way to reason equationally about programs combining on determinism and probabilities and about metrics on such programs. Well I hope you enjoyed this talk and thank you very much for listening.


Hi everyone, Joe for JaspysCaseBrakes.com coming at you with 2019 National Treasures 2021 TriStar Diamond Stars Quick hitter baseball mixer. This is a quick hitter number two Thanks to all of these people. You got some nice stuff. Oh, by the way I'll explain this in just a second but the college rules or no checklist rules apply big Thanks to this group here for getting in on the action Yes, Kevin ends up getting the official last spot mojo star next to his name But thanks to the people who bought their spots straight up And congrats again to the people who won their spots All teams are in let's do it. Let's roll it randomize it two and a four six times for names and teams one two three four five and six and final time after six Bennett down to Bennett two and a four six times for the teams one two three four five and Sixth and final time After six we've got the Cardinals down to the Rangers All right, Bennett Page with the Cardinals Daniel. Oh, Dan You have the Astros even K with the O's Eric with the Marlins Jack with the Red Sox Brian with the Brew Crew Bennett with the Royals Jonathan with the White Sox Bennett with the Reds Jimmy with the Nationals Allen with the Braves Kevin last spot mojo Padres Brian with the A's Mark with the Mariners Bennett with the Diamondbacks Brian with the Cubs Kevin With the Yankees Nick with the Pirates Bennett with the Rays Peter with the Giants Kevin you got my Dodgers Bennett with the Mets will with the Phillies Brian with the Twins will with the Angels Oliver with the Tigers Allen with the Indians Terry with the Blue Jays Eric with the Rockies and Bennett with the Texas Rangers Let's sort this by column B So because that here I'll flip back to that screen in just a second There's no checklist for for this sort of stuff. So if it's a retired player, it'll go to the team They played for the longest and if it's an active player, it'll go to the team that they're currently on So a lot of potential Great stuff here if they played for the same team and we'll go by baseball reference calm We'll go by seasons if it's tied. We're gonna use games as a tiebreaker and Then we'll just keep going to the right if there's continues to be ties.  We'll go we have box one three and four remaining So we'll go one two three four five six on the dice roll and it's one So we're gonna do box one These we'll save for next time and the next version of that mixer We can run it back the next version of that mixer is up on the site right now. Jasper's case breaks calm All right, I'm gonna pause the video give some people some time to trade When we come back, we'll have the break stick around BRB. All right. Welcome back folks No deals were done So the list you saw on the previous On the screen remains the same Here on Tuesday the 10th 2021 Good luck everybody. All right. You know what? Let's start with the baseballs Save the NT the last let's do the three baseballs first Anyone here to play who am I America's favorite game? I'll give you some clues. Give me some answers One of these little game show cards here All right, who am I I played for? One two three four five six teams my entire career and I was an NL rookie of the year in 1989 who am I? He has too many stats beyond that on this game show card Guess maybe rookie of the year was his claim to fame Did he play for that team the longest? Yeah, the team that drafted him There you go. Yeah, I was gonna say Hollywood should probably know 1989 rookie of the year for the Cubbies Jerome Walton was a rookie of the year What did he do that season hit 293? Had a handful of home runs 46 RBI's 24 stolen bases Beat out who did he beat out for a rookie of the year? Beat out Dwight Smith another cubby Greg Jeffries Derek Lilliquist Andy Venice Charlie Hayes and Greg Harris There's autograph There's the tri-star sticker on the back right there and Brian M With the Cubs All right next box, what is Jerome Walton doing these days? Is he Carved out a nice ten-year career doesn't his Wikipedia page doesn't really have much after that. Yeah, maybe at this point Yeah next one is He's a Hall of Famer his number 35 retired nine times in the top 10 in home runs a 1997 AL batting champion a five-time all-star a four-time silver slugger I think one of the few guys to win an MVP back-to-back two-time MVP back-to-back and Most home runs ever hit by a DH 261 there you go nice Hollywood. That's for you. It's Frank Thomas the big hurt and trust me She'll like it too Yeah, Matthew's got it Bennett's got it too. There is the Frank Thomas autograph the tri-star authenticity sticker on the back Very nice. There you go. So both Chicago guys to start off. All right, and the third one. All right. Good luck everybody next one is They say can't all be Hall of Famers, right? The card says Played for three teams and then appeared in the 1961 World Series. That's all they got for this guy Oh, we got to do so he only played for one Played for three teams and each of those three teams a season each So we have to do a tiebreaker We're gonna go by games and he played the most games With Cincinnati with the Cincinnati Reds 24 games played 16 games with the Giants and eight games with the Mets If you know Sherman Jones, I'd I'll be impressed But he did make an appearance in the 1961 World Series for what for whatever that's worth. There's there's old Sherman Jones Well, actually, no, I'll take that back. He actually wrote Mets on here 62 Mets There's the tri-star sticker right there, so we'll give it to the Mets Well, sure old Sherman Jones with a lifetime 473 era But I guess made an appearance in the World Series All right, Bennett with the Mets He had the Reds anyway It's pretty rare that they actually put a team name on there. Usually we will default to the team name Otherwise we'll go by our no checklist rules Mixer number two All right, those are the baseballs Yeah, let's try it off the Wikipedia page Like some intern was like I don't want to do research on Sherman Jones Yeah, I guess his autograph would be kind of hard to come by he was he got it He has a nickname Sherman Jones nicknamed the road roadblock Oh actually went on to a career in Kansas politics Appeared in game five of the 1961 World Series for the Reds against the New York Yankees retiring cleat boyer and bud Daily the only two Yankees he faced Yeah, after oh there you go after After leaving baseball he served in the Kansas City Police Department for 22 years and was later elected to the Kansas Legislature serving the House of Representatives from 89 to 92 and the Senate until 2001 a box of 2019 Hanini National Treasures My apologies to Sherman Jones will think he looked he looked up looked it up Only one of those Sherman Jones autographs on eBay and the sellers asking 500 bucks at box here Is it there is a book? But it's just a regular book just a lot of thick hits here And a printing plate right there you can see the shadow on the corner the rounded corners Telltale sign of a printing plate Put a blank card right on top of there All right, let's see what we got. Good luck everybody First one out of the gate is Garrett Hampson 63 out of 99 Rockies that's gonna go to Eric C. We got Bryce Wilson 46 out of 99 for Atlanta Alan with the Braves We got a Walker Bueller 79 out of 99 colossal relic for the Dodgers Kevin We've got a piece of Alan tramples bat 23 out of 99 Tigers It's for Oliver in Detroit and the plate is Willie Keeler Wow one of one We Willie Keeler You know game use material for the Brooklyn Dodgers It's kind of wild Willie Keeler. I'm looking this up right now was a two-time NL batting champion from 1890s in 1897 and 1898 That's crazy He was born in Brooklyn in 1872 the son of William O'keeler or O'keeler hair senior a trolley switch man He may have dodged some trolleys at some point for the Brooklyn Dodgers Wow, that's that's quite a piece of history there for Kevin and the Dodgers You got the plate got a piece of his game use lumber Yeah, Logan remembers those are the good old days, right Logan When when Willie Keeler won the NL batting title in 1897 pretty nice Out of fives and under get the train whistle Kevin All aboard the big hit Express And we've got Larry Walker, is he did he try to autograph it this way? Jersey and autograph tremendous material signatures. Oh Larry Walker 14 out of 25 And that is for Eric in Colorado. I think you try to sign it this way The old the old sideways auto. I wonder if all of them are like that Or if that was the only one where he's like shoot and you can't like undo it. All right next one is Is Christian Stewart The baseball player not the actress 67 out of 99 Pretty thick card stock on that too. Look at that. That is for Oliver and the Tigers That's gonna even fit into a 180 We'll make sure we put a couple of filler cards in here Oliver so it doesn't rattle around But that's for you Oliver All right, got a few more to go There's Jason Giambi Treasured material signatures piece of his lumber and autograph. That's how you're supposed to do it Larry And that'll be for Oakland Brian M and the next one is Jose Canseco another one for Brian 43 out of 99 big piece of his lumber and his autograph and the last two or No, this is the last one. It's the book The book is cut signatures Joe Sewell One out of ten. That's pretty crazy as well. We got a couple old school guys in here Nice Cleveland. This is for you. And that is for Alan and the Indians. There you go ladies gentlemen Um, I think that's it Excuse me. I just sneezed it. Sorry about that folks Had to sneeze That is for you Alan That was the break We've got another one of these four box breaks in the store with the other NT box three more autographed baseballs Jasper's case breaks calm. I'll see you next time for the next one


Hi guys, welcome to a new vlog. I'm starting this vlog out with Sherry over here. People, you're not supposed to stop here. Hello, hello everyone. She is driving away from the airport because we just got done dropping Valerie off. She's on the way to see her mom and everything like that. I don't know what we're gonna do first. Maybe it's lunchtime, maybe it's dry cleaning. But whatever it is, we'll take you along with us. Also guys, my allergies have picked up because we basically skip spring, but we're in that time of spring so like everything, all the pollen is just so terrible. Cannot stand it. All right, so we are eating here at Buca de Beppo. Sherry got a coupon, so this is what we're having. Oh, oh, there's a tea room. That's the celebration tea room. I didn't even know that that was there until I saw it on my friend Kayla's Instagram story. Yeah. Okay, so I'm home now and I totally forgot to vlog the food. I had to send it back because I did not want cheese on my salad and then they had cheese on it and I didn't like it, so I had to send it back and then I think I got distracted, so I didn't vlog anything. But Sherry, what are we doing? We are going to watch Dr. Phil. We're watching Dr. Phil. Dr. Phil has a family on there that we have known for a long time, the Scofield family, and they had the youngest child ever diagnosed with schizophrenia. I don't know why the lighting is so weird. There we go. Okay. Alex became friends with them on Facebook. We went to California once. We met them, went to their apartment. Alex got to hang out with Janney for a little while and now they have a son, Bodie, who they think is kind of the same. We have been following their story along over the years and it's kind of tragic. The family broke up, the husband and wife are now divorced and so it's kind of a sad story, but we're going to watch and see the update. Yeah, so I'm really excited to see this episode. If I remember and can find pictures, I will post them and I think I have a little video with Janney, so I'll insert that here. So it's been a little bit and I got myself a Coke float as you just saw. I love Coke floats so much and for once we have some Diet Coke.  I have it in a Coke float form. Also guys, I've been loving these videos of like going to the worst whatever.  Okay, so it is the next day and actually next night because it's been a hot minute, but I just wanted to kind of talk to you guys about my workout regimen because I've been feeling so good. I just got done working out pretty much. Yeah, that's why my forehead is like super shiny, but yeah. I've been really motivated to like start working out and everything and I just want to feel like more confident in my body and I wanted to make a whole like testimonial video or something on my big camera, but this is more of like a casual video, a casual topic. So I kind of just wanted to throw it in a vlog, but I've been following a lot of workouts from Gabriella Whited and they actually work and I haven't really seen a video. Maybe there is a video I haven't even looked. So I'll probably look after I ramble to you guys about this. I just feel the results in myself. Have I lost like any weight or anything? No, but I've gained a lot of muscle. Like I don't know guys. I'm just trying to show you like my stomach. It's like flat. So basically what I've been doing, I don't really have a before and after. So I can't really show you that. I can just show you like what I look like now, but I actually feel like more comfortable doing that. So that's why I just showed you the thigh gap, the leg workouts. Like I don't know. I just feel a lot more fit and strong. So I just wanted to kind of put it out there. Yes, Gabriella Whited's workouts work and they make me feel so good. I will leave a link to my workout playlist. I normally do arms, abs, and legs, and then the back fat workout because I tend to like gain weight back there and it's like kind of weird. Do I have like abs? No, but like under this like thermal layer, I actually feel my abs and it's kind of weird and it's kind of hard to describe, but I just feel a lot more confident and I've been stretching a little bit more too. I work today. My new job is kind of just running social media and learning a bunch. So I'm excited about that and I do some design work. So that takes a little bit of my time. So yeah, and I haven't really been going out this week. So yeah. Okay, on to the next thing I'm gonna film because it's enough of my rambling. Okay, so it's been a while. I'm just adding on to this vlog because I think it's pretty short, but mother and I are running errands as normal. Again, we got to run to the dry cleaners. We went to the pharmacy, everything. So we're gearing up for our new Orleans trip. Yay, can't wait. Time is flying guys. Like I can't believe it's already March. It's Shari's birthday month. I know. Yay, soon it'll be my birthday weekend. Yep, I can't wait for that. I really need to pre-film stuff. So I think I'm gonna start a new vlog today. My Rebecca Minkoff bag just sold on eBay, which is so sad. I loved that bag. Shari loved that bag too. I did. It helped cover for my Louie bag. So it's actually really good that it sold. But I am gonna miss it. It was a really pretty bag, but it was so heavy. So I hated like carrying it around and stuff. And that my friends is going to be pretty much it for this video. I hope you guys enjoyed it. Make sure to give it a big thumbs up. Don't forget to subscribe to my channel. And I'll see you guys in my next video. Bye.


So, next we will take up convex mirror. So, convex mirrors look like this. This is the principle axis. Where is the focus? Focus is here and this is r and object will be there. This side will be the object. Now, there is no f or r here. So, there cannot be any cases here. There is just one case, object wherever you keep. So, put an object somewhere and draw its image. Where will be its image? One ray that goes towards the r. What happens to that ray? This will get reflected back because this is along the normal and one ray that goes like this. What happened to this one? This is I. It will reflect off like this. This angle will be also I. So, where is the image? Will these two ray ever meet this one and this one? No, but they will appear to meet here. So, this is the image. It is real or virtual? It is virtual image. Write down characteristics of image, characteristics of image, virtual, diminished, erect. So, if you have been given two virtual images, how will you identify whether this virtual image is from concave or convex? Concave, it will be magnified. Convex, it will be diminished. So, if I tell you that the size has gone down and it is a virtual image, you do not need to know that. I mean, it should not be mentioned that whether it is convex or concave. You should be able to identify. One more thing you might have noticed is that whenever the real image gets formed, of course, this mirror will never form a real image. So, whenever real image gets formed, it is inverted. Suppose it is given that the image is put on the screen. So, it should not be given that it is having a real image. If it is a real image, it must be concave mirror. These all things should be there in your mind. Now, although we have done almost every case by ray diagram, but it becomes very difficult to exactly locate the location of the image by drawing these plots, making ray diagrams and things like that. We will not be able to exactly pinpoint where is the image. So, we should have some sort of formula. We should have some sort of formula which will output as what is the distance of image. And what all thing we should already know? We will know that where I have keeping my object that is easy to measure, is not it? And I should also know the characteristic of mirror. I should know the focal length of the mirror. So, depending on characteristic of mirror and the distance of objects from the mirror, I should be able to find out the image distance. There should be some formula because only these two things, image will depend on characteristic of the mirror and where is the object. So, now we are getting into the algebra of the chapter where we will introduce some sort of formula.  Draw neatly a concave mirror, slightly bigger will be better. This is the principal axis, this is F, this is R. Now, here is the object, draw its ray diagram. This is a ray diagram. You will see that the image will lie over here. Now, use the naming convention of the points like this. Let us say this is M, this is N, this is O, this is P, this is Q, R. This one was F. So, this is the naming convention. Now, I want to find out the distance of, let us say this is T, this point. So, I want to find out what is the distance of T p. I want to know what is T p. What is given? N p. N p is known, what else is known? Some property of the mirror is also known. What is the property of the mirror? Focal length. So, focal length is also known. So, P f is also known. I want T p in terms of N p and P f. Are you getting it? Now, look at it carefully. T p, N p and P f, what are they? They are the distances, horizontal distances along the principal axis. So, you need to bring in these horizontal distances in the equation somehow. Now, one easy way to do that is to use similar triangles. Then you can use ratio of sides. So, when you use ratio of sides, one of the side you should take as horizontal. Otherwise, horizontal side will not come in picture. Other side, do not take this slant one. Other side, take vertical. Why? Because this distance, if you drop perpendicular like this and drop perpendicular from there, these two distances, this distance will be equal to that distance and this distance will be equal to this distance. So, can you judiciously find out what are the two similar triangles where you can involve horizontal distances and vertical distances? Think over it. First, tell me the similar triangles which you want to involve. Is triangle M, N, F similar to triangle O, P, F, yes or no? And triangle, do it yourself. It will be better. T f s is similar to triangle. No, these two are not similar.  From first condition, what equation will you get? M and F similar to triangle P f q. What can you write? M n divided by N f. These are two sides of this triangle. This should be equal to what? Do yourself. Try to come up with, after this, what should we do? Is left hand side for both? Same or not? M n is equal to O p and P q is equal to T s. So, left hand sides are same. So, I can equate right hand side.  So, P f square is equal to N f multiplied by T f. I can further write this down as P f square is equal to, what is N f? Is N f known? No. N p P f is known. So, what can you write about? N f. N f is equal to N p minus P f. What is T f? T f is what? T p minus P f. T p is what you have to find out. So, it should come in the equation. Otherwise, how will you find out? T p minus P f. Is this thing clear? Now, look at it. At times, what will happen if the object is between F and P? Image will go that side. So, T will go there. Are you getting it? So, if T goes there, the T f will be equal to what? T f will then become equal to F p plus T f. Are you getting it? So, this thing will not be valid then. But if I introduce some sort of sign convention and I say that this side, the sign is something and that side something else, then automatically sign switching will happen. So, this minus will become plus. Are you getting it? So, right now, we are introducing sign convention before we proceed further. So, write down sign convention. We want to make this formula more generic. It should be applicable for every case. Right now, it is applicable only for the case where object and image both are in this side. Write down sign convention. First, write down horizontal distances. All the horizontal distances are measured along the principal axis. Horizontal horizontal distances are measured along the principal axis. From point, from pole, all the horizontal distances are measured along the horizontal, sorry, along the principal axis from pole. From pole, you measure the distances. Next point. If starting from pole, you go against the direction of incident light, the distances will be negative. The distances will be negative. If you start from pole and go in the direction of incident light, then that distance will be positive. This is about horizontal distances. Now, write down vertical distances about vertical distances. Vertical distances are measured perpendicular to the principal axis. If one side is positive, the other side will be negative. If one side is positive, the other side will be negative. If one side is positive, the other side is negative. Usually, what we do? We take upper one as positive, but upper one is not easy to define. You cannot say that what is upper and what is down. But, the way you draw it in your notebook, you can define upper is what or lower is what. So, usually, you take upper as positive. So, this is the sign convention which we are going to follow.  Let us say focal length is f. So, pf is what? Plus f or minus f? Minus f. So, this will be minus f whole square y minus f. I am starting from pole along the principal. I am going against the direction of incident ray or not? Incident ray should come from the object. I am going against that. So, minus f square. What is np? np. Suppose, image is v and object is u. np is what? u or minus u. No, you always start from p. So, again minus u. What about pf? It is negative. What is tp? tp. It is an image. So, minus u find minus of minus f.  So, you can further simplify this and write down f square is equal to f square minus uf minus vf plus uv. So, you can cut f square like this. So, you will get uf plus vf is equal to uv. Now, I can say that this is the mirror formula, but I can make it more concise. How I can make it more concise? By dividing everything by uvf. If you divide everything by uvf, you will get 1 by v plus 1 by u is equal to 1 by f. So, this is the mirror formula. It is valid for all the mirrors for plain mirror also. For plain mirror, what is focal length? Infinity. When you put f is equal to infinity, this term becomes 0. So, you get v is equal to minus u. That is how it should be. So, this is the mirror formula derivation. There are approximation here. There are few approximations. You have taken aperture less and you have taken r is equal to f by 2. So, all that approximation we have taken here. Any doubt on this? This is about horizontal distances. What about vertical distance? Vertical distance will tell you how much image has magnified. Let us see that. In order to do that, you should make a construction in the ray diagram. Draw a light like this, light ray. This will reflect off and will again meet at the same point, is not it? Like this. So, this is suppose height of object and this suppose is height of image. So, if you look at it carefully, triangle m and p is similar to triangle p, p, s. So, I can say that m, n is equal to m, n is equal to p by n p is equal to T s by T p. Are you getting it? m n is what? m n is u sign convention. If you are taking m n as plus h naught, you are saying that upward is positive. So, m n is plus h naught, n p is what? Minus u. T s minus h i, T p minus v. So, h i by h o is equal to minus v by u. This is what the magnification is. So, we have magnification formula. So, we have talked about horizontal distances and now vertical distances. So, I can exactly find out what, you know how the image will be and where it will be.