Okay, hang on, we're just gonna sit real quick. That's our Christmas tree. This isn't like a flashback, it is May. What the heck is that? Oh! Okay, well, I'm just gonna talk to you from here, I think. This seems right. This is the trials and tribulations of being a YouTuber. Hi, everybody. Just ignore what I look like. I have not truly sat down and filmed a vlog. Since I wanna say October, that's the last time I've logged in my life.  If you don't know, I was applying to grad school my first semester and I was working job and doing YouTube, so I was literally, I took a break for a bit then because I just couldn't do it. I couldn't do it and keep my sanity at the same time. And this semester has just been all over the place too. I am finished with my senior year. That was the last Instagram post I posted and I graduated this last weekend, which was so exciting. But I feel like I need to go back because I have been absent from YouTube for like a bit, which I didn't explain, but I'm gonna explain in this video why that happened. Oh, hello, internet. We have gathered here today on my bed that is currently a little bit popped because it is indeed an air mattress. And...  That's our biggest worry at the time, unfortunately. No. Friday night, we thought maybe they were like done. My roommate woke up at like four in the morning to pee and she was like, oh no, there's a little leak in the kitchen.  They're really that weak. I happened on Friday, Saturday, we were like dealing with people all day. There's like these huge industrial fans and like dehumidifiers in our living room. And we had to move everything out of our kitchen. It's such a disaster. And it's also exam week and a little tour, huh? How's that sound? Okay, let's go. Can you hear that? Okay, so there's... I was unhinged as you probably saw. Anyway, I did well on my exams, surprisingly, shockingly. We both did, me and my roommate, who's incredible, by the way. She has never seen one of my YouTube videos and we can keep it that way, but her sister watches, hey Julia. Okay, so then the next weekend, it was the Charleston affair, which if you don't know what that is, and like I haven't really vlogged much of my life in Charleston, but like I do a lot of fun stuff here. So like, I am going to try and like do some like Charleston content before I leave. Before I leave. So then if you, when you finish graduating CFC, they had this like really big party called the Charleston affair. It is literally the most beautiful campus in the whole world. Like it is, it is so pretty. It just is. And like at night, they put up all these lights and there was a band. The band was fantastic. They had like these little synchronized like dance things and they played uptown funk. That's a joke between me and my roommate. I really get down to it when it comes on. But I had a really fun time. I went with my friend, Sydney. We had so much fun. If you are a Charleston alumni or like you're thinking of coming here, like definitely a plus. And if you're going to graduate, like you should definitely go. Okay, fast forwarding to this coming weekend. My parents come. We do graduation and I graduate. And this is where we get into the good stuff. So I can finally tell you guys like what I'm doing next year. I haven't been sure for a long time. And I'm going to talk about all of this because like I applied to a bunch of grad schools all in the UK and I got into a couple. I got into one that I literally never thought in a million years that I would get into because it was like sort of on a whim. I was like, oh, maybe I should try this. And I can't exactly reveal like what I'm doing now just cause of like, I have like paperwork to fill out and like I don't want to like jinx anything. But what I can tell you that I'm moving to London next year. So in September, I will be flying to London and I'll be moving there. And I'm so excited. And I visited before. You can see like I went with my family in like 2019 I think. And then I went last year when I was in Edinburgh and like I just love it there. And there's so much art in the city. And if you don't know like I studied arts management it's just like a new adventure for me. And I just like, I literally couldn't be more excited. And I wanted to tell you guys for so long. I found out in about March I would say. So I've been like holding it in. And I found out about that I was moving back to the UK in probably November. Yeah, I mean this video is like super casual and it's just sort of like a life update. So much to look forward to. And these last four, five years have been so incredibly weird.  You guys know and like if you've just graduated college I'm sure that you feel the same way. It's with COVID like right in the middle of it. But like I am so incredibly proud of the risks that I have taken in college. And it has absolutely, and look I worked really hard but then there were times when like I needed to like really like have fun and like learn how to like have balance in my life. And I haven't watched in a lot of Queer Eye. And you know what, like they always say that. And I'm like wait that's literally what I'm always saying. That's what my life coach Lisa said. She said that I needed to have more fun. Anyway, work hard and it'll pay off. But also have a little fun.  It's in almost three years that I've been on YouTube. Don't go look at my really old videos because they're just super embarrassing. But it's okay to embarrass yourself sometimes because it can get you to where you're going. And I am going where I am going because I decided to post weird videos myself pretending to travel places in COVID-19. And people were like, yeah, I'm gonna watch that. And if you don't know what I'm talking about, don't look it up. But yeah, thank you guys so much for watching. And I cannot wait. So like keep taking you on this journey. I have a really fun summer coming up and hopefully you can vlog it. And maybe I can show you some of my family and my friends and that'll be really cool. I definitely wanna do an apartment to work because our apartment is, it's kind of crazy but it's like so, it's such good vibes. Yeah, thank you guys so much. I hope you have a good day. Thanks for watching.


In previous videos, we created a map in the DHIS2 maps app by selecting a base map, adding a boundary layer, and a thematic layer that shows the coverage for BCG vaccines by districts in training land for the year 2020. In this video, we will focus on how to read our map and interpret its legend. A map legend conveys the meaning of symbols and colors on a map. When we read and interpret a map legend, we can understand what the data are telling us. Let's check the legend selection we made for this map. In the thematic layer card, click on the pencil icon to edit this layer. In the Style tab, the predefined color legend is selected. And under Legend Set, API coverage was chosen. This means that the map will show the classification, number of classes, and color scheme as predefined for a legend called API coverage. These predefined legends are configured by administrators. Click Cancel to come back to our map. What is the map legend telling us? First, it has five classes of BCG coverage. Low from 0 to 70%, Mid between 70 and 80%, High between 80 and 90%, Highest between 90 and 100%, and a fifth level called Invalid that goes from 100 to 1,000. An organization unit will fall into this class if it has a coverage over 100%, which suggests an error in the data values. On the left, you can see the color assigned to each level. The colors relate to the classification of the data. For example, the green colors signify a higher level of vaccine coverage, which is a goal to reach within the district, while the orange and red indicate areas of lower coverage. This type of legend makes it easy to view data based on project targets or goals. To each level on the right, we can see the number of organization units, in this case districts, that fall into those classes. So we have two districts with low EPI BCG coverage, two with mid coverage, five with high coverage, and three with highest coverage. There are no districts with invalid data. Now that we understand the legend, let's focus on our map. You can see that it is very easy to identify those districts that have a high vaccination coverage versus those that do not. By hovering over a district, we can see the actual value of the data item, in this case the BCG coverage rate. What if we want to view the data from the thematic layer in a table, rather than having to hover over each district to get the values? You can do that in the thematic layer card. Click on the ellipsis icon to display the more actions menu, and select show data table. Now you can see the data table under the map. The data table shows all of the underlying data related to the data you have selected in the thematic layer. In this case, we are working with an indicator, EPI BCG coverage, and we can see that the data table displays all of the values for this indicator, the legend class it belongs to, and all of the relevant organization unit information. The data table is dynamic, which allows you to sort by any column, by ascending or descending order. You can use the column headers as filters as well. For example, if we only want to view the districts whose parent organization unit is food region, we can filter on food. Notice that the map also updates with the districts that are filtered. Let's remove the filter and close the data table by clicking on the more actions menu and selecting hide data table to return to our original map view. In summary, map legends help us understand and interpret the data in a map to make informed decisions. Data from maps can also be shown as tables and filters can be added to the map through the data table.


From our studios in the heart of Silicon Valley, Palo Alto, California, this is a CUBE Conversation. Hello everyone, welcome to the CUBE Studio here in Palo Alto. I'm John Furrier, host of the CUBE. We're here introducing a new format for CUBE, panel discussion that's called Around the CUBE, and we have a special segment here called Get Smart, unpacking AI with some great guests in the industry, Gene Santos, professor of engineering in college, engineering, Dartmouth College, Bob Friday, vice president, CTO at Mist, at Juniper Company, and Ed Henry, senior scientist and distinguished member of the technical staff machine learning at Dell EMC. Guys, this is a format we're going to keep score and we're going to throw out some interesting conversations around unpacking AI. Thanks for joining us here. Appreciate your time. Yeah, I'd be here. Okay, first question, as we all know, AI is on the rise, we're seeing AI everywhere. You can't go to a show or see marketing literature from any company, whether it's consumer or tech company around, they all have AI, AI something. So AI is on the rise. The question is, is it real AI? Is AI relevant from a reality standpoint? What really is going on with AI? Gene, is AI real? I think a good chunk of AI is real there. It depends on what you apply it to. If it's making some sort of decisions for you, that is AI that's going into play. But there's also a lot of AI that's out there potentially is just simply a script. So, one of the challenges that you always have is that if it sort of scripted, is it scripted because somebody's already developed the AI and now just pulled out all the answers and just using the answers straight? Or is it actually learning and changing on its own? I would tend to say that anything that's learning and changing on its own, that's where you're having the evolving AI and that's where you get the most power from. Bob, what's your take on this? AI real? Yeah, if you look at Google and the world, what you see is AI really became real in 2014. That's when AI and ML really became a thing in the industry. And when you look, why did it become a thing in 2014? It's really back when we actually saw TensorFlow open source technology really become available. It's all that Amazon compute story. You look what we're doing here at MIST really, I really don't have to worry about compute storage except for the Amazon bill I get every month now. So I think you're really seeing AI become real because of some key burning points in the industry. Ed, your take, AI real? Yeah, so it depends on what lens you want to kind of look at it through. The notion of intelligence is something that's kind of ill-defined. And depending on how you want to interpret that, we'll kind of guide whether or not you think it's real. I tend to call things AI if it has a notion of agency. So if it can navigate its problems based without human intervention. So really it depends on, again, what lens you kind of want to look at it through. It's a set of moving goalposts, right? If you took your smartphone back to Turing when he was coming up with the Turing test and asked him if this intelligent for some value of intelligent device was AI, would that be AI to him probably back then? So really it depends on how you kind of want to look at it. Is AI the same as it was in 1988? Or is it changed? What's the change point with AI? Because some are saying AI's been around for a while. But there's more AI now than ever before. Ed, we'll start with you. What's different with AI now versus say in the late 80s, early 90s? See, what's funny is some of the methods that we're using aren't different. I think the big push that's happened in the last decade or so has been the ability to store as much data as we can along with the ability to have as much compute readily disposable as we have today. Some of the methodologies, I mean, there was a great Wired article that was published and somebody referenced something called Methods called the Eigenvector Decomposition that they said it was from Quantum Mechanics that came out in 1888, right? So it really, a lot of the methodologies that we're using aren't much different. It's the amount of data that we have available to us that represents reality and the amount of compute that we have. Bob. Yeah, so for me, right back in the 80s when I did my masters, I actually did a masters on neural networks. So yeah, it's been around for a while. But when I started and missed but really changed a couple of things. One is this modern cloud stack, right? So if you're going to have to build an solution, really have to have all the pieces and just tons of data and process it in real time. So that is the one big thing that's changed that we didn't have 20 years ago. The other big thing is we have access to all this open source tensorflow stuff right now. You know, people like Google and Facebook have made it so easy for the average person actually do an AI project, right? You know, anyone here, anyone in the audience could actually train a machine learning model over the weekend right now. You just have to go to Google. You have to find kind of the, you know they have the data sets. You want to basically build a model to recognize letters and numbers.   Gene, your take. Yeah, I think also on top of that because of all that availability on the open software anybody can come in and start playing with AI. It's also building a really large experience space of what works and what doesn't work. And because they have that, now you can actually better define the problem that you're shooting for. And when you do that, you increase, you know what's going to work, what's not going to work. And people can also tell you is that on the part that's not going to work how is it going to expand? But I think overall though, this comes back to the question of when people ask, what is AI? And a lot of that is just being focused on machine learning. And if it's just machine learning that kind of a little limited use in terms of what you're classifying or not. Back in the early 80s, AI back then is really what people are trying to call artificial general intelligence nowadays. But it's that all encompassing key. All the things that us humans can do, us humans can reason about, all the decision sequences that we make. And so that's the part that we haven't quite gotten to but there is all the things that's why the applications that AI with machine learning classification has gotten us this far. Okay, machine learning is certainly relevant. It's been one of the most hottest topic I think in computer science. And with AI becoming much more democratized, you guys mentioned TensorFlow, a variety of other open source initiatives has been a great wave of innovation. And again, motivation, younger generations is easier to code now than ever before. But machine learning seems to be at the heart of AI. And there's really two schools of thoughts in the machine learning world. Is it just math or is there more of a cognition learning machine kind of thing going on? This has been a big debate in the industry. I want to get your guys take on this gene. Is machine learning just math and running algorithms? Or is there more to it like cognition? Where do you guys fall on this? What's real? If I look at the applications and look at what people are using it for, it's mostly just algorithm. It's mostly that, you know, you've managed to do the pattern recognition. You've managed to compute out the things and find something interesting from it. But then on the other side, the folks working in say, neurosciences, the first people working in cognitive sciences, I have the interest in saying that when we look at that, that machine learning, does it correspond to what we're doing as human beings? Now, because the reason I fall more on the algorithm side is that a lot of those algorithms, they don't match what we're often thinking. So if they're not matching that, it's like, okay, something else is coming up, but then what do we do with it? You know, you can get an answer and work from it, but then if we want to build true human intelligence, how does that all stack together to get to the human intelligence? And I think that's the challenge at this point. Bob, machine learning math, cognition, is there more to do there? What's your take? Yeah, I think right now you look at machine learning, machine learning or the algorithms we use. I mean, I think the big thing that happened in machine learning is the neural network and deep learning. That was kind of a mile stepping stone where we got through and actually building kind of these AI behavior things. When you look what's really happening out there, you look at the self-driving car, what we don't realize is like, it's kind of scary right now, you go to Vegas, you can actually get on a self-driving bus now. So this AI machine learning stuff is starting to happen right before our eyes. When you go to the healthcare now and you get your diagnosis for cancer, right? We're starting to see AI and image recognition really start to change how we get our diagnosis. And that's really starting to affect people's lives. So those are cases where we're starting to see this AI machine learning stuff is starting to make a difference. When we think about the AI singularity discussion, right? When are we finally going to build something that really has human behavior? I mean, right now we're building AI that can actually play jeopardy, right? And that was kind of one of the inspirations for my company, Miss, right? Was hey, if they can build stuff in the play jeopardy, we should be able to build something and answer questions on par with network domain expert. So I think we're seeing people build solutions now that do a lot of behaviors that mimic humans. I do think we're probably on the path to building something that is truly going to be on par with human thinking, right? Whether it's 50 years or 1,000 years, I think it's inevitable on how man is progressing right now. If you look at the technologically exponential growth for seeing in human evolution. Well, we're going to get to that in the next question. So you jump ahead, hold that thought, add machine learning, just math, pattern recognition, or is there more cognition there to be had? Where do you fall on this? Right now it's, I mean, it's all math. So we collect something, some data set about the world, and then we use algorithms and some representation of mathematics to find some pattern, which is new and interesting, don't get me wrong. When you say the word cognition though, we have to understand that we have a fundamentally flawed like perspective on how maybe the one like guiding light that we have on one intelligence could be, would be ourselves, right? Computers don't work like brains, brains are what we've determined our body, our intelligence, right? Computers, our brains don't have a clock, there's no state that's actually kept between different clock cycles outside of brain. So when you start using words like cognition, we end up trying to measure ourselves or use ourselves as a ruler. And most of the methodologies that we have today don't necessarily head down that path. So yeah, that's kind of how I view. Yeah, I mean, state, stateless, those are API kind of mindsets. You can't run Kubernetes in the brain. Maybe we will in the future. Stateful applications are always harder than stateless as we all know. But again, when I'm sleeping, I'm still dreaming. So cognition and the question of human replacement. This has been a huge conversation. This is one, the singularity conversation, you know, the fear of most average people and then some technical people as well on the job front, will AI replace my job? Will it take over the world? Is there going to be a Skynet Terminator moment? This is a big conversation point because it just teases out what could be and tech for good, tech for bad. Some say tech is neutral, but it can be shaped. So the question is, will AI replace humans? And where does that line come from? We'll start with Ed on this one. What do you see this singularity discussion where humans are going to be replaced with AI? So replace is an interesting term. So I mean, you look at the last kind of industrial revolution that happened and people I think are most worried about the potential of job law. And when you look at what happened during the industrial revolution, this concept of creative destruction kind of came about. And the idea is that, yes, technology has taken some jobs out of the market in some way, shape, or form, but more jobs were created because of that technology. That's kind of our one, again, lighthouse that we have with respect to measuring that. Singularity in and of itself, again, the ill-defined definition of intel or the ill-defined notion of intelligence that we have today. I mean, when you go back and you read some of the early papers from psychologists from the early 1900s, the experiment specifically who came up with this idea of intelligence, he uses the term general intelligence. It's kind of like the first time that all of civilization has tried to assign a definition to what this thing of intelligence is, right? And it's only been roughly a hundred years or so since, or maybe a little longer since we've had this kind of understanding that's been normalized, at least within Western culture, of what this notion of intelligence is. So singularity, this idea of the singularity is interesting because we just don't understand enough about the one measure ruler yardstick that we have that we consider intelligence ourselves, to be able to go in and then embed that inside of a thing. Gene, what's your thoughts on this? Reasoning is a big part of your research. You're doing a lot of research around intent and contextual, all these cool behavioral things. You know, this is where machines are there to augment or replace. This is the conversation, your view on this. I think one of the things is this is that that's where the challenge still lies. If we have that intentions and we can actually start communicating, then we can start getting the general intelligence. I mean, sort of like what Ed was referring to how people have been trying to define that. But I think one of the problems that comes up is that computers and stuff like that don't really capture that at the time. The intentions that they have are still at a low level. But if we start tying it to the question of the terminator moment to the singularity, one of the things is that autonomy, how much autonomy that we give to the algorithm. How much does the algorithm has access to? Now, there could be just be on extreme, there could be a disaster situation where we weren't very careful and we provided an API that actually gives full autonomy to whatever AI we have to run it. And so you could start seeing elements of Skynet that can come from that. But I also tend to come down to say, hey, even with APIs, while it's not AI, APIs, a lot of that also, you have the intentions of what you're going to give it to control. Then you have the AI itself where if you've defined the intentions of what it is supposed to do, then you can avoid that terminator moment in terms of that's more of an act. So I'm seeing it at this point.  And when people worry about job loss, probably the closest thing that I think that can match that in recent history is the whole thing on automation. I grew up at the time in Ohio when the steel industry was collapsing and that was a trade-off between automation and what the current jobs are. And if you have something like that, that's one thing that we go forward dealing with. And I think this is something that state governments or national governments, something we should be considering. If you're going to have that job loss, what better study, what better form can you do from that? And I've heard different proposals from different people like, well, if we need to retrain people where to get the resources from it could be something even like AI job tax. And so there's a lot of things to discuss. We're not there yet, but I do believe that the lower repetitive jobs out there how should I say, the things where we can easily define those could be replaceable, but that's still close to the automation side. Yeah, and there's a lot of opportunities there. Bob, you mentioned in the last segment, the singularity, cognition, learning machines. You mentioned deep learning. As the machines learn, this needs more data, data informs. If it's bias data or real data, how do you become cognitive? How do you become human if you don't have the data or the algorithms? The data is the data. I mean, and I think that's one of the big ethical debates going on right now, right? Are we basically going to basically take our human biases and train them into our next generation of AI devices, right? But I think for my point of view, I think it's inevitable that we will build something as complex as the brain eventually. Don't know if it's 50 years or 500 years from now, but if you look at kind of the evolution of man where we've been over the last 100,000 years or so, you kind of see this exponential rise in technology, right? From, you know, for thousands of years, our technology was relatively flat. Something in the last 200 years where we've seen this exponential growth in technology that's taking off. And, you know, what's amazing is when you look at quantum computing, what's scary is I always thought of quantum computing being a research lab thing, but when you start to see VCs investing in quantum computing startups, you know, we're going from university research discussions to yes, we're starting to commercialize quantum computing. You know, when you look at the complexity of what a brain does, it's inevitable that we will build something that has basically the complexity of a neuron. And I think, you know, if you look out people, you know, neuroscience looks at the brain, we really don't understand how it encodes, but it's clear that it does encode memories, which is very similar to what we're doing right now with our AI machine, right? We're building things that takes data and memories and encodes it in some certain way. So, and I'm convinced that we will start to see more AI cognizant start to really happen as we start the next 100 years. Guys, this is a great conversation. AI is real based upon this around the cube conversation. Look at, I mean, you're seeing the evidence there, you guys pointed it out. And I think cloud computing has been a real accelerant with the combination of machine learning and open source that you guys have illustrated. And so that brings up the kind of the final question I'd love to get each of your thoughts on this because Bob just brought up quantum computing, which as the race to quantum supremacy goes on around the world, this becomes maybe that next step function, kind of what cloud computing did for revitalizing or creating a renaissance in AI. What does quantum do? So that begs the question five, 10 years out if machine learning is the beginning of it. And it starts to solve some of these problems as quantum comes in more compute, unlimited resource applied with software. What does that go five, 10 years? We'll go start with Gene, Bob, then Ed, let's wrap this up. Yeah, I think if quantum becomes a reality that when you have the exponential growth, this is going to be exponential and exponential. Quantum is going to address a lot of the harder AI problems that were from complexity. When you talk about this regular search, regular approaches of looking up stuff, quantum is the one that allows you now to potentially take something that was exponential and make it come. And so that's going to be a big driver. That'll be a big enabler where, a lot of the problems I look at trying to intention is that I have an exponential number of intentions that might be possible if I'm going to choose as an explanation. But quantum will allow me to narrow down the one if that technology can work on. Of course, the real challenge is that if I could rephrase it into say a quantum program on doing it, but that's, I think the advance is just beyond the step function. Beyond a step function you see. Okay, Bob, your take on this because you brought it up, quantum, step function, revolution, what's your view on this? I mean, quantum computing changes the whole paradigm, right? Because it kind of goes from a paradigm of what we know, this binary, if this, then that type of computing. So I think quantum computing is more than just a step function. I think it's going to take a whole paradigm shift of, it's going to be another decade or two before we actually get all the tools we need to actually start leveraging quantum computing. But I think that is going to be one of those step functions that basically takes our AI efforts into a whole different realm, right? And it'll let us solve another whole set of classic problems. And that's why they're doing it right now. Because it starts to be able to let you crack all the encryption codes, right? Where you have millions or billions of choices and you have to basically find that one needle in the haystack. So quantum computing is going to basically open that piece of the puzzle up. And when you look at these AI solutions, it's really a collection of different things going underneath the hood, right? It's not just one algorithm that you're doing and trying to mimic human behavior. So quantum computing is going to get one more tool than AI toolbox that's going to move the whole industry forward.  Quantum. Cool. Yeah, so I think it'll, like Gene and Bob had alluded to, fundamentally change the way we approach these problems. And the reason is combinatorial problems that everybody's talking about. So if I want to evaluate the state space of anything, using modern binary based computers, we have to kind of iteratively make that search over that search space where quantum computing allows you to kind of evaluate the entire search space at once. When you talk about like games like AlphaGo, you talk about having more moves on a blank 19x19 AlphaGo board than you have if you put a thousand universes on every proton of our universe. So the state space is absolutely massive. Searching that is impossible. Using today's binary based computers, but quantum computing allows you to evaluate kind of search spaces like that in one big chunk to really simplify the aspect. But I think it will kind of change how we approach these problems to Bob and Gene's point with respect to how we approach it. The technology, once we crack that quantum nut, I don't think we'll look anything like what we have today. Okay, thank you guys. Looks like we have a winner. Bob, you're up by one point. We got a tie for a second between Ed and Gene. Of course I'm the arbiter, but I decided Bob, you nailed this one. So since you're the winner, Gene, you guys did a great job coming in second place. Ed, good job. Bob, you get the last word. Unpacking AI, what's the summary from your perspective as the winner of Around the Cube? Yeah, I think from a societal point of view, I think that AI is going to be on par with kind of the internet. It's going to be one of these next big technology things. I think it's starting to impact our lives and people, when you look around it, it's kind of sneaking up on us, whether it's the self-driving car, the healthcare cancer, the self-driving bus. So I think it's here. I think we're just at the beginnings of it. And I think it's going to be one of these technologies that's going to basically impact our lives over the next one or two decade, next in 20 years is this going to be exponentially growing everywhere in all of our segments. Thanks so much for playing, guys. Really appreciate it. We have an inventor, entrepreneur, Gene, doing great research at Dartmouth. Check him out. Gene Santos at Dartmouth Computer Science and Ed, technical genius at Dell, figuring out how to make those machines smarter and with the software abstractions growing, you guys are doing some good work over there as well. General, thank you for joining us on this inaugural around theCUBE, unpacking AI, get smart series. Thanks for joining us. Thank you. Thank you. That's a wrap, everyone. This is theCUBE in Palo Alto. I'm John Furrier. Thanks for watching.


VII The Lion and the Unicorn. The next moment soldiers came running through the wood, at first in twos and threes, then ten or twenty together, and at last in such crowds that they seemed to fill the whole forest. Alice got behind a tree, for fear of being run over, and watched them go by. She thought that in all her life she had never seen soldiers so uncertain on their feet. They were always tripping over something or other, and whenever one went down several more always fell over him, so that the ground was soon covered with little heaps of men. Then came the horses, having four feet these managed rather better than the foot soldiers, but even they stumbled now and then, and it seemed to be a regular rule that whenever a horse stumbled the rider fell off instantly. The confusion got worse every moment, and Alice was very glad to get out of the wood into an open place, where she found the white king seated on the ground, busily writing in his memorandum book. I've sent them all, the king cried in a tone of delight, on seeing Alice. Did you happen to meet any soldiers, my dear, as you came through the wood? Yes I did, said Alice, several thousand I should think. Four thousand two hundred and seven, that's the exact number, the king said, referring to his book. I couldn't send all the horses, you know, because two of them are wanted in the game, and I haven't sent the two messengers either, they're both gone to the town, just look along the road, and tell me if you can see either of them. I see nobody on the road, said Alice. I only wish I had such eyes, the king remarked in a fretful tone, to be able to see nobody, and at that distance too, why it's as much as I can do to see real people by this light. All this was lost on Alice, who was still looking intently along the road, shading her eyes with one hand. I see somebody now, she exclaimed at last, but he's coming very slowly, and what curious attitudes he goes into. For the messenger kept skipping up and down, and wriggling like an eel, as he came along, with his great hands, spread out like fans on each side. Not at all, said the king. He is an Anglo-Saxon messenger, and those are Anglo-Saxon attitudes. He only does them when he's happy. His name is Haya. He pronounced it so as to rhyme with Mayor. I love my love with an H, Alice couldn't help beginning, because he is happy.  I fed him with ham sandwiches and hay. His name is Haya, and he lives— He lives on the hill, the king remarked simply, without the least idea that he was joining in the game, while Alice was still hesitating for the name of a town beginning with H. The other messenger's called Hata. I must have two, you know, to come and go, one to come, and one to go. I beg your pardon, said Alice. It isn't respectable to beg, said the king. I only meant that I didn't understand, said Alice, why one to come and one to go. Didn't I tell you, the king repeated impatiently, I must have two, to fetch and carry, one to fetch and one to carry. At this moment the messenger arrived. He was far too much out of breath to say a word, and could only wave his hands about, and make the most fearful faces at the poor king. This young lady loves you with an H, the king said, introducing Alice in the hope of turning off the messenger's attention from himself. But it was no use. The Anglo-Saxon attitudes only got more extraordinary every moment, while the great eyes rolled wildly from side to side. You alarm me, said the king, I feel faint, give me a ham sandwich. On which the messenger, to Alice's great amusement, opened a bag that hung round his neck and handed a sandwich to the king, who devoured it greedily. Another sandwich, said the king. There's nothing but hay left now, the messenger said, peeping into the bag. Hay, then, the king murmured in a faint whisper. Alice was glad to see that it revived him a good deal. There is nothing like eating hay when you're faint, he remarked to her, as he munched away. I should think throwing cold water over you would be better, Alice suggested, or some sal volatil. I didn't say there was nothing better, the king replied. I said there was nothing like it. Which Alice did not venture to deny. Who did you pass on the road? The king went on, holding out his hand to the messenger for some more hay. Nobody, said the messenger. Quite right, said the king, this young lady saw him too, so of course nobody walks slower than you. I do my best, the messenger said, in a sulky tone. I am sure nobody walks much faster than I do. He can't do that, said the king, or else he'd have been here first. However, now you've got your breath, you may tell us what's happened in the town. I'll whisper it, said the messenger, putting his hands to his mouth, in the shape of a trumpet, and stooping so as to get close to the king's ear. Alice was sorry for this, as she wanted to hear the news, too. However, instead of whispering, he simply shouted at the top of his voice, There at it again! Do you call that a whisper, cried the poor king, jumping up and shaking himself. If you do such a thing again, I'll have you buttered. It went through and through my head like an earthquake. It would have to be a very tiny earthquake, thought Alice. Who are at it again, she ventured to ask. Why the lion and the unicorn, of course, said the king. Fighting for the crown? Yes, to be sure, said the king, and the best of the joke is, that it's my crown all the while. Let's run and see them. As they trotted off, Alice repeating to herself as she ran, the words of the old song. The lion and the unicorn were fighting for the crown. The lion beat the unicorn all round the town.  Does the one that wins get the crown, she asked, as well as she could, for the run was putting her quite out of breath. Dear me, no, said the king, what an idea. Would you be good enough, Alice panted out, after running a little further, to stop a minute, just to get one's breath again? I'm good enough, the king said, only I'm not strong enough. You see, a minute goes by so fearfully quick. You might as well try to stop a bander snatch. Alice had no more breath for talking, so they trotted on in silence, till they came in sight of a great crowd, in the middle of which the lion and unicorn were fighting. They were in such a cloud of dust, that at first Alice could not make out which was which, but she soon managed to distinguish the unicorn by his horn. They placed themselves close to where Hatha, the other messenger, was standing watching the fight, with a cup of tea in one hand, and a piece of bread and butter in the other. He's only just out of prison, and he hadn't finished his tea when he was sent in—hey, I whispered to Alice—and they only give them oyster shells in there, so you see he's very hungry and thirsty. How are you, dear child? he went on, putting his arm affectionately round Hatha's neck. Hatha looked round and nodded, and went on with his bread and butter. Were you happy in prison, dear child? said Hatha. Hatha looked round once more, and this time a tear or two trickled down his cheek, but not a word would he say. Speak, can't you? Hatha cried impatiently. But Hatha only munched away and drank some more tea. Speak, won't you? cried the king. How are they getting on with the fight?  They're getting on very well, he said, in a choking voice. Each of them has been down about eighty-seven times.  It's waiting for him now, said Hatha. This is a bit of it as I'm eating. There was a pause in the fight just then, and the lion and the unicorn sat down, waiting, while the king called out. Ten minutes allowed for refreshments. Haya and Hatha set to work at once, carrying rough trays of white and brown bread. Alice took a piece to taste, but it was very dry. I don't think they'll fight any more to-day, the king said to Hatha. Go and order the drums to begin. And Hatha went bounding away like a grasshopper. For a minute or two Alice stood silent, watching him. Suddenly she brightened up. Look, look! She cried, pointing eagerly. There's the white queen running across the country. She came flying out of the wood over Yonder. How fast those queens can run! There's some enemy after her, no doubt, the king said, without even looking round. That wood's full of them. But aren't you going to run and help her? Alice asked, very much surprised at his taking it so quietly. No use, no use, said the king. She runs so fearfully quick. You might as well try to catch a bander-snatch. But I'll make a memorandum about her, if you like. She's a dear good creature," he repeated softly to himself, as he opened his memorandum book. Do you spell creature with a double E? At this moment the unicorn sauntered by them, with his hands in his pockets. I had the best of it this time," he said to the king, just glancing at him as he passed. A little, a little, the king replied rather nervously, you shouldn't have run him through with your horn, you know. It didn't hurt him, the unicorn said carelessly, and he was going on when his eye happened to fall upon Alice. He turned round rather instantly, and stood for some time looking at her, with an air of the deepest disgust. What is this, he said at last? This is a child," Haia replied eagerly, coming in front of Alice to introduce her, and spreading out both his hands towards her, in an Anglo-Saxon attitude. We only found it today. It's as large as life and twice as natural. I always thought they were fabulous monsters, said the unicorn. Is it alive? It can talk," said Haia solemnly. The unicorn looked dreamily at Alice and said, Talk, child! Alice could not help her lips curling up into a smile as she began. Do you know, I always thought unicorns were fabulous monsters, too. I never saw one alive before. Well, now that we have seen each other, said the unicorn, if you'll believe in me, I'll believe in you. Is that a bargain? Yes, if you like, said Alice. Come, fetch out the plum-cake, old man, the unicorn went on, turning from her to the king. None of you are brown bread for me. Certainly the king muttered and beckoned to Haia. Open the bag, he whispered, quick, not that one, that's full of Haia. Haia took a large cake out of the bag and gave it to Alice to hold, while he got out a dish and carving-knife. While they all came out of it, Alice couldn't guess. It was just like a conjuring trick, she thought. The lion had joined them while this was going on. He looked very tired and sleepy, and his eyes were half shut. What's this, he said, blinking lazily at Alice and speaking in a deep hollow tone that sounded like the tolling of a great bell? Ah, what is it now? The unicorn cried eagerly. You'll never guess. I couldn't. The lion looked at Alice wearily. Are you animal, vegetable, or mineral, he said, yawning at every other word? It's a fabulous monster! The unicorn cried out before Alice could reply. Then hand round the plum-cake, monster, the lion said, lying down and putting his chin on his paws. And sit down, both of you, to the king and the unicorn. Fair play with the cake, you know. The king was evidently very uncomfortable at having to sit down between the two great creatures, but there was no other place for him. What a fight we might have for the crown now, the unicorn said, looking slyly up at the crown, which the poor king was nearly shaking off his head he trembled so much. I should win easy, said the lion. I'm not so sure of that, said the unicorn.  The lion replied angrily, half getting up as he spoke. Here the king interrupted to prevent the quarrel going on. He was very nervous and his voice quivered. All round the town, he said, that's a good long way. Did you go by the old bridge or the marketplace? You get the best view by the old bridge. I'm sure I don't know, the lion growled out as he lay down again. There was too much dust to see anything.  Alice had seated herself on the bank of a little brook with the great dish on her knees and was sawing away diligently with the knife. It's very provoking, she said, in reply to the lion. She was getting quite used to being called the monster. I've cut several slices already but they always join on again. You don't know how to manage looking glass cakes, the unicorn remarked. Hand it round first and cut it afterwards. This sounded nonsense but Alice very obediently got up and carried the dish round and the cake divided itself into three pieces as she did so. Now cut it up, said the lion, as she returned to her place with the empty dish. I say this isn't fair, cried the unicorn, as Alice sat with the knife in her hand, very much puzzled how to begin. The monster has given the lion twice as much as me. She's kept none for herself, anyhow, said the lion. Do you like plum cake, monster? But before Alice could answer him the drums began. Where the noise came from she couldn't make out, the air seemed full of it and it rang through and through her head till she felt quite deafened.  If that doesn't drum them out of town, she thought to herself, nothing ever will.   However, there was the great dish still lying at her feet, on which she had tried to cut the plum cake. So I wasn't dreaming after all, she said to herself, unless—unless we're all part of the same dream. Only I do hope it's my dream, and not the Red Kings. I don't like belonging to another person's dream," she went on, in a rather complaining tone. I have a great mind to go and wake him and see what happens. At this moment her thoughts were interrupted by a loud shouting of, Ahoy! Ahoy! Check! And a knight, dressed in crimson armour, came galloping down upon her, brandishing a great club. Just as he reached her the horse stopped suddenly.  Startled as she was, Alice was more frightened for him than for herself at the moment, and watched him with some anxiety as he mounted again. As soon as he was comfortably in the saddle he began once more, You're my— But here another voice broke in, Ahoy! Ahoy! Check! And Alice looked round in some surprise for the new enemy. This time it was a white knight. He drew up at Alice's side, and tumbled off his horse just as the red knight had done. Then he got on again, and the two knights sat and looked at each other for some time, without speaking. Alice looked from one to the other in some bewilderment. She's my prisoner, you know, the red knight said at last. Yes, but then I came and rescued her, the white knight replied. Well, we must fight for her then, said the red knight, as he took up his helmet, which hung from the saddle, and was something the shape of a horse's head, and put it on. You will observe the rules of battle, of course, the white knight remarked, putting on his helmet too. I always do, said the red knight, and they began banging away at each other with such fury that Alice got behind a tree to be out of the way of the blows. I wonder now what the rules of battle are, she said to herself, as she watched the fight, timidly peeping out from her hiding-place. One rule seems to be that if one knight hits the other he knocks him off his horse, and if he misses he tumbles off himself. And another rule seems to be that they hold their clubs with their arms as if they were punch and duty. What a noise they make when they tumble, just like a whole set of fire-irons falling into the fender. And how quiet the horses are, they let them get on and off them just as if they were tables. Another rule of battle that Alice had not noticed seemed to be that they always fell on their heads, and the battle ended with their both falling off in this way, side by side. When they got up again they shook hands, and then the red knight mounted and galloped off. It was a glorious victory, wasn't it, said the white knight, as he came up panting. I don't know, Alice said doubtfully. I don't want to be anybody's prisoner. I want to be a queen. So you will when you've crossed the next brook, said the white knight. I'll see you safe to the end of the wood, and then I must go back, you know. That's the end of my move. Thank you very much, said Alice. May I help you off with your helmet? It was evidently more than he could manage by himself. However, she managed to shake him out of it at last. Now one can breathe more easily, said the knight, putting back his shaggy hair with both hands, and turning his gentle face and large mild eyes to Alice.  He was dressed in tin armour, which seemed to fit him very badly, and he had a queer-shaped little deal box fastened across his shoulder, upside down, with the lid hanging open. Alice looked at it with great curiosity. I see you're admiring my little box, the knight said in a friendly tone. It's my own invention, to keep clothes and sandwiches in. You see, I carry it upside down so that the rain can't get in. But the things can get out, Alice gently remarked. Do you know the lid's open? I didn't know it, the knight said, a shade of vexation passing over his face. Then all the things must have fallen out, and the box is no use without them. He unfastened it as he spoke, and was just going to throw it into the bushes when a sudden thought seemed to strike him, and he hung it carefully on a tree. Can you guess why I did that, he said to Alice? Alice shook her head. In hopes some bees may make a nest in it, then I should get the honey. But you've got a beehive, or something like one, fastened to the saddle, Alice said. Yes, it's a very good beehive, the knight said in a discontented tone, one of the best kind, but not a single bee has come near it yet, and the other thing is a mousetrap. I suppose the mice keep the bees out, or the bees keep the mice out, I don't know which. I was wondering what the mousetrap was for, said Alice. It isn't very likely there would be any mice on the horse's back. Not very likely, perhaps, said the knight, but if they do come I don't choose to have them running all about. You see, he went on after a pause. It's as well to be provided for everything. That's the reason the horse has all those anklets round his feet. But what are they for? Alice asked in a tone of great curiosity. To guard against the bites of sharks, the knight replied. It's an invention of my own, and now help me on. I'll go with you to the end of the wood. What's the dish for? It's meant for plum-cake, said Alice. We'd better take it with us, the knight said. It'll come in handy if we find any plum-cake. Help me to get it into this bag. This took a very long time to manage, though Alice held the bag open very carefully, because the knight was so very awkward in putting in the dish. The first two or three times that he tried, he fell in himself instead. It's rather a tight fit, you see, he said, as they got it in at last. There are so many candlesticks in the bag. And he hung it to the saddle, which was already loaded with a bunches of carrots and fire-irons and many other things. I hope you've got your hair well fastened on, he continued, as they set off. Only in the usual way, Alice said, smiling. That's hardly enough, he said anxiously. You see, the wind is so very strong here. It's as strong as soup. Have you invented a plan for keeping the hair from being blown off, Alice inquired? Not yet, said the knight, but I've got a plan for keeping it from falling off. I should like to hear it very much. First you take an upright stick, said the knight.   Things never fall upwards, you know. It's a plan of my own invention. You may try it if you like. It didn't sound a comfortable plan, Alice thought, and for a few minutes she walked on in silence, puzzling over the idea, and every now and then stopping to help the poor knight, who certainly was not a good rider. Whenever the horse stopped, which it did very often, he fell off in front, and whenever it went on again, which it generally did rather suddenly, he fell off behind. Otherwise he kept on pretty well, except that he had a habit of now and then falling off sideways, and as he generally did this on the side on which Alice was walking, she soon found that it was the best plan not to walk quite close to the horse. I'm afraid you've not had much practice in riding, she ventured to say, as she was helping him up from his fifth tumble. The knight looked very much surprised, and a little offended at the remark. What makes you say that, he asked, as he scrambled back into the saddle, keeping hold of Alice's hair with one hand, to save himself from falling over on the other side? Because people don't fall off quite so often when they've had much practice. I've had plenty of practice, the knight said very gravely. Plenty of practice. Alice could think of nothing better to say than, indeed, but she said it as heartily as she could. They went on a little way in silence after this, the knight with his eyes shut, muttering to himself, and Alice watching anxiously for the next tumble. The great art of riding, the knight suddenly began in a loud voice, waving his right arm as he spoke, is to keep. Here the sentence ended as suddenly as it had begun, as the knight fell heavily on the top of his head exactly in the path where Alice was walking. She was quite frightened this time, and said in an anxious tone as she picked him up, I hope no bones are broken. None to speak of, the knight said, as if he didn't mind breaking two or three of them. The great art of riding, as I was saying, is to keep your balance properly, like this, you know. He let go the bridle, and stretched out both his arms to show Alice what he meant, and this time he fell flat on his back, right under the horse's feet. Plenty of practice he went on repeating all the time that Alice was getting him on his feet again. Plenty of practice. It's too ridiculous, cried Alice, losing all her patience this time. You ought to have a wooden horse on wheels, that you ought. Does that kind go smoothly? the knight asked in a tone of great interest, clasping his arms round the horse's neck as he spoke, just in time to save himself from tumbling off again. Much more smoothly than a live horse, Alice said, with a little scream of laughter, in spite of all she could do to prevent it. I'll get one, the knight said thoughtfully to himself, one or two, several. There was a short silence after this, and then the knight went on again. I'm a great hand at inventing things. Now, I dare say you noticed, that last time you picked me up, that I was looking rather thoughtful. You were a little grave, said Alice. Well, just then I was inventing a new way of getting over a gate. Would you like to hear it? Very much indeed, Alice said politely. I'll tell you how I came to think of it, said the knight. You see, I said to myself, the only difficulty is with the feet. The head is high enough already. Now, first I put my head on the top of the gate. Then I stand on my head. Then the feet are high enough, you see. Then I'm over, you see. Yes, I suppose you'd be over when that was done, Alice said thoughtfully. But don't you think it would be rather hard? I haven't tried it yet, the knight said gravely, so I can't tell for certain. But I'm afraid it would be a little hard. He looked so vexed at the idea, that Alice changed the subject hastily. What a curious helmet you've got, she said cheerfully. Is that your invention, too? The knight looked down proudly at his helmet, which hung from the saddle. Yes, he said, but I've invented a better one than that, like a sugar-loaf. When I used to wear it, if I fell off the horse, it always touched the ground directly. So I had a very little way to fall, you see. But there was the danger of falling into it, to be sure. That happened to me once, and the worst of it was, before I could get out again. The other white knight came and put it on. He thought it was his own helmet. The knight looked so solemn about it, that Alice did not dare to laugh. I'm afraid you must have hurt him, she said, in a trembling voice, being on the top of his head. I had to kick him, of course, the knight said, very seriously. And then he took the helmet off again. But it took hours and hours to get me out. I was as fast as lightning, you know. But that's a different kind of fastness, Alice objected. The knight shook his head. It was all kinds of fastness with me, I can assure you, he said. He raised his hands in some excitement, as he said this, and instantly rolled out of the saddle and fell headlong into a deep ditch. Alice ran to the side of the ditch to look for him. She was rather startled by the fall, as for some time he had kept on very well, and she was afraid that he really was hurt this time. However, though she could see nothing but the soles of his feet, she was much relieved to hear that he was talking on in his usual tone. All kinds of fastness, he repeated. But it was careless of him to put on other man's helmet on, with the man in it, too.  Alice asked, as she dragged him out by the feet, and laid him in a heap on the bank. The knight looked surprised at the question. What does it matter where my body happens to be, he said? My mind goes on working all the same. In fact, the more head downwards I am, the more I keep inventing new things. Now, the cleverest thing of the sort that I ever did, he went on after a pause, was inventing a new pudding during the meat-course. In time to have it cooked for the next course, Alice said? Well, not the next course, the knight said in a slow, thoughtful tone. No, certainly not the next course. Then it would have to be the next day. I suppose you wouldn't have two pudding courses in one dinner. Well, not the next day, the knight repeated as before, not the next day.  I don't believe that pudding ever was cooked. In fact, I don't believe that pudding ever will be cooked, and yet it was a very clever pudding to invent. What did you mean it to be made of? Alice asked, hoping to cheer him up, for the poor knight seemed quite low-spirited about it. It began with blotting paper, the knight answered with a groan. That wouldn't be very nice, I'm afraid. Not very nice alone, he interrupted quite eagerly, but you've no idea what a difference it makes mixing it with other things, such as gunpowder and sealing wax, and here I must leave you. They had just come to the end of the wood. Alice could only look puzzled, she was thinking of the pudding. You are sad, the knight said, in an anxious tone. Let me sing you a song to comfort you. Is it very long, Alice asked, for she had heard a good deal of poetry that day. It's long, said the knight, but very, very beautiful. Everybody that hears me sing it, either it brings the tears into their eyes or else what, said Alice, for the knight had made a sudden pause. Or else it doesn't, you know. The name of the song is called Hadduck's Eyes. Oh, that's the name of the song, is it, Alice said, trying to feel interested. No, you don't understand, the knight said, looking a little vexed. That's what the name is called. The name really is the aged, aged man. Then I ought to have said, that's what the song is called, Alice corrected herself. No, you oughtn't, that's quite another thing. The song is called Ways and Means, but that's only what it's called, you know. Well, what is the song then, said Alice, who was by this time completely bewildered? I was coming to that, the knight said. The song really is a sitting on a gate, and the tune's my own invention. So saying he stopped his horse, and let the reins fall on its neck, then slowly beating time with one hand, and with a faint smile lighting up his gentle foolish face, as if he enjoyed the music of his song, he began. Of all the strange things that Alice saw in her journey through the looking-glass, this was the one that she always remembered most clearly. Years afterwards she could bring the whole scene back again, as if it had been only yesterday. The mild blue eyes and kindly smile of the night, the setting sun gleaming through his hair, and shining on his armour in a blaze of light that quite dazzled her. The horse moving quietly about, with the reins hanging loose on his neck, cropping the grass at her feet, and the black shadows of the forest behind. All this she took in like a picture, as with one hand shading her eyes she leaned against a tree, watching the strange pair, and listening, in half-dream, to the melancholy music of the song. But the tune isn't his own invention, she said to herself. It's I give the all I can no more. She stood, and listened very attentively, but no tears came into her eyes. I'll tell thee everything I can, there's little to relate. I saw an aged, aged man, a sitting on a gate. Who are you, aged man, I said, and how is it you live? And his answer trickled through my head like water through a sieve. He said, I look for butterflies that sleep among the wheat. I make them into mutton pies, and sell them in the street. I sell them unto men, he said, who sail on stormy seas, and that's the way I get my bread, a trifle, if you please. But I was thinking of a plan to dye one's whiskers green, and always use so large a fan that they could not be seen. So having no reply to give to what the old man said, I cried, come tell me how you live, and thumped him on the head. His accent's mild took up the tale. He said, I go my ways, and when I find a mountain-rill, I set it in a blaze. And thence they make a stuff they call Rowland's Macassar oil, yet tuppin's happening is all they give me for my toil. But I was thinking of a way to feed oneself on batter, and so go on from day to day, getting a little fatter. I shook him well from side to side until his face was blue. Come tell me how you live, I cried, and what it is you do. He said, I hunt for Haddock's eyes among the heather bright, and work them into west-cut buttons in the silent night. And these I do not sell for gold or coin of silvery shine, but for a copper half-penny, and that will purchase nine. I sometimes dig for buttered rolls, or set limed twigs for crabs. I sometimes search the grassy knolls for wheels of handsome cabs. And that's the way, he gave a wink, by which I get my wealth, and very gladly will I drink your honour's noble health. I heard him then, for I had just completed my design, to keep the Menai bridge from rust by boiling it in wine. I thanked him much for telling me the way he got his wealth, but chiefly for his wish that he might drink my noble health.  As the night sang the last words of the ballad, he gathered up the reins, and turned his horse's head along the road by which they had come. "'You've only a few yards to go,' he said, down the hill and over that little brook, and then you'll be a queen. But you'll stay and see me off first,' he added, as Alice turned with an eager look in the direction to which he pointed. "'I shan't belong. You'll wait and wave your handkerchief when I get to that turn in the road. I think it'll encourage me, you see. Of course I'll wait,' said Alice, and thank you very much for coming so far, and for the song, I liked it very much. "'I hope so,' the night said doubtfully, but you didn't cry so much as I thought you would.' So they shook hands, and then the night rode slowly away into the forest. "'It won't take long to see him off, I expect,' Alice said to herself, as she stood watching him. There he goes, right on his head as usual. However, he gets on again pretty easily. That comes of having so many things hung round the horse.' So she went on talking to herself as she watched the horse walking leisurely along the road, and the night tumbling off, first on one side, and then on the other. After the fourth or fifth tumble he reached the turn, and then she waved her handkerchief to him, and waited till he was out of sight. "'I hope it encouraged him,' she said, as she turned to run down the hill, and now for the last brook, and to be a queen, how grand it sounds!' A very few steps brought her to the edge of the brook. The eighth square at last she cried as she bounded across, and threw herself down to rest on a lawn as soft as moss, with little flower beds dotted about it here and there. "'Oh, how glad I am to get here! And what is this on my head?' she exclaimed in a tone of dismay, as she put her hands up to something very heavy, and fitted tight all round her head. "'But how can it have got there without my knowing it?' she said to herself as she lifted it off, and set it on her lap to make out what it could possibly be.' It was a golden crown. I never expected I should be a queen so soon. And I'll tell you what it is, Your Majesty.' She went on in a severe tone. She was always rather fond of scolding herself. "'It'll never do for you to be lolling about on the grass like that. Queens have to be dignified, you know.' So she got up and walked about, rather stiffly just at first, as she was afraid that the crown might come off, but she comforted herself with the thought that there was nobody to see her. "'And if I really am a queen,' she said as she sat down again, "'I shall be able to manage it quite well in time.' Everything was happening so oddly that she didn't feel a bit surprised at finding the red queen and the white queen sitting close to her, one on each side. She would have liked very much to ask them how they came there, but she feared it would not be quite civil. However, there would be no harm, she thought, in asking if the game was over. "'Please would you tell me,' she began, looking timidly at the red queen. "'Speak when you are spoken to,' the queen sharply interrupted her. "'But if everybody obeyed that rule,' said Alice, who was always ready for a little argument. "'And if you only spoke when you were spoken to, and the other person always waited for you to begin, you see nobody would ever say anything so that—' "'Ridiculous!' cried the queen. "'Why don't you see, child?' Here she broke off with a frown, and, after thinking for a minute, suddenly changed the subject of the conversation.  What right have you to call yourself so? You can't be a queen, you know, till you have passed the proper examination. And the sooner we begin it, the better.' "'I only said if,' poor Alice pleaded, in a piteous tone. The two queens looked at each other, and the red queen remarked with a little shudder. "'She says she only said if.' "'But she said a great deal more than that,' the white queen moaned, ringing her hands. "'Oh, ever so much more than that!' "'So you did, you know,' the red queen said to Alice. "'Always speak the truth. Think before you speak, and write it down afterwards.' "'I'm sure I didn't mean,' Alice was beginning, but the red queen interrupted her impatiently. "'That's just what I complain of. You should have meant. What do you suppose is the use of a child without any meaning?  You couldn't deny that, even if you tried with both hands.' "'I don't deny things with my hands,' Alice objected. "'Nobody said you did,' said the red queen. "'I said you couldn't if you tried.' "'She's in that state of mind,' said the white queen, that she wants to deny something, only she doesn't know what to deny. "'A nasty, vicious temper,' the red queen remarked, and then there was an uncomfortable silence for a minute or two.' The red queen broke the silence by saying to the white queen, "'I invite you to Alice's dinner party this afternoon.' The white queen smiled feebly and said, "'And I invite you.' "'I didn't know I was to have a party at all,' said Alice, but if there is to be one, I think I ought to invite the guests.' "'We gave you the opportunity of doing it,' the red queen remarked. "'But I daresay you've not had many lessons in manners yet.' "'Manners are not taught in lessons,' said Alice. "'Lessons teach you to do sums and things of that sort.' "'And you do addition?' the white queen asked. "'What's one and one and one and one and one and one and one and one and one and one and one.' "'I don't know,' said Alice. "'I lost count.' "'She can't do addition,' the red queen interrupted. "'Can you do subtraction? Take nine from eight.' "'Nine from eight? I can't, you know,' Alice replied very readily. "'But—' "'She can't do subtraction,' said the white queen. "'Can you do division? Divide a loaf by a knife. What's the answer to that?' "'I suppose,' Alice was beginning, but the red queen answered for her. "'Breadened butter, of course. Try another subtraction some. Take a bone from a dog. What remains?' Alice considered. "'The bone wouldn't remain, of course, if I took it. And the dog wouldn't remain. It would come to bite me, and I'm sure I shouldn't remain.' "'Then you think nothing would remain?' said the red queen. "'I think that's the answer.' "'Wrong as usual,' said the red queen. The dog's temper would remain. "'But I don't see how.' "'Why look here,' the red queen cried. The dog would lose its temper, wouldn't it?' "'Perhaps it would,' Alice replied cautiously. Then if the dog went away, its temper would remain,' the queen exclaimed triumphantly. Alice said, as gravely as she could, "'They might go different ways.' But she couldn't help thinking to herself, "'What dreadful nonsense we are talking!' "'She can't do sums a bit,' the queen said together with great emphasis. "'Can you do sums?' Alice said, turning suddenly on the white queen, for she didn't like being found fault with so much.'  "'I can do addition if you give me time, but I can do subtraction under any circumstances.' "'Of course you know your ABC,' said the red queen. "'To be sure I do,' said Alice. "'So do I,' the white queen whispered. "'We'll often say it over together, dear, and I'll tell you a secret. I can read words of one letter. Isn't that grand? However, don't be discouraged. You'll come to it in time.' Here the red queen began again. "'Can you answer useful questions?' she said. "'How is bread made?' "'I know that,' Alice cried eagerly. "'You take some flour.' "'Where do you pick the flour?' the white queen asked, in a garden or in the hedges. "'Well, it isn't picked at all,' Alice explained. "'It's ground.' "'How many acres of ground?' said the white queen. "'You mustn't leave out so many things.' "'Fan her head,' the red queen anxiously interrupted. "'She'll be feverish after so much thinking.' "'So they set to work and fan her with bunches of leaves, till she had to beg them to leave off. It blew her hair about so.' "'She's all right again now,' said the red queen. "'Do you know languages?' "'What's the French for fiddle-dee?' "'Fiddle-dee-dee's not English,' Alice replied gravely. "'Whoever said it was,' said the red queen. Alice thought she saw a way out of the difficulty this time. "'If you'll tell me what language fiddle-dee-dee is, I'll tell you the French for it,' she exclaimed triumphantly. But the red queen drew herself up rather stiffly and said, "'Queens never make bargains.' "'I wish queens never asked questions,' Alice thought to herself. "'Don't let us quarrel,' the white queen said in an anxious tone. "'What is the cause of lightning?' "'The cause of lightning,' Alice said very decidedly, for she felt quite certain about this. "'Is the thunder?' "'No, no,' she hastily corrected herself. I meant the other way.' "'It's too late to correct it,' said the red queen. "'When once you've said a thing, that fixes it, and you must take the consequences.' "'Which reminds me,' the white queen said, looking down and nervously clasping and unclasping her hands. We had such a thunderstorm last Tuesday. I mean one of the last set of Tuesdays, you know.' Alice was puzzled. "'In our country,' she remarked, "'there's only one day at a time.' The red queen said, "'That's a poor, thin way of doing things. Now here we mostly have days and nights, two or three at a time, and sometimes in the winter we take as many as five nights together, for warmth, you know.' "'Are five nights warmer than one night, then?' Alice ventured to ask. "'Five times as warm, of course.' "'But they should be five times as cold by the same rule.' "'Just so,' cried the red queen, "'five times as warm and five times as cold, just as I'm five times as rich as you are and five times as clever.' Alice sighed and gave it up. "'It's exactly like a riddle with no answer,' she thought. Humpty-dumpty saw it, too.' The white queen went on in a low voice, more as if she were talking to herself. He came to the door with a corkscrew in his hand. "'What did he want?' said the red queen. "'He said he would come in,' the white queen went on, because he was looking for a hippopotamus. Now, as it happened, there wasn't such a thing in the house that morning.' "'Is there generally?' Alice asked, in an astonished tone. "'Well, only on Thursdays,' said the queen. "'I know what he came for,' said Alice. He wanted to punish the fish, because—' Here the white queen began again. "'It was such a thunderstorm, you can't think.' "'She never could, you know,' said the red queen. And part of the roof came off, and never so much thunder got in, and it went rolling round the room in great lumps, and knocking over the tables and things, till I was so frightened I couldn't remember my own name.' Alice thought to herself, "'I never should try to remember my name in the middle of an accident, where would be the use of it?' But she did not say this aloud, for fear of hurting the poor queen's feeling. "'Your Majesty must excuse her,' the red queen said to Alice, taking one of the white queen's hands in her own, and gently stroking it. She means well, but she can't help saying foolish things, as a general rule. The white queen looked timidly at Alice, who felt she ought to say something kind, but really couldn't think of anything at the moment. "'She never was really well brought up,' the red queen went on. But it's amazing how good-tempered she is. Pat her on the head, and see how pleased she'll be.' But this was more than Alice had courage to do. A little kindness, and putting her hair in papers, would do wonders with her.'  "'I am so sleepy,' she moaned. "'She's tired, poor thing,' said the red queen. Smooth her hair, lend her your nightcap, and sing her a soothing lullaby. "'I haven't got a nightcap with me,' said Alice, as she tried to obey the first direction. And I don't know any soothing lullabies.' "'I must do it myself,' then,' said the red queen, and she began. "'Hush a-bye, lady, in Alice's lap. Till the feast's ready, we've time for a nap. When the feast's over, we'll go to the ball. Red queen and white queen and Alice and all.' And now you know the words,' she added, as she put her head down on Alice's other shoulder. "'Just sing it through to me. I'm getting sleepy, too.' In another moment both queens were fast asleep, and snoring loud. "'What am I to do?' exclaimed Alice, looking about in great perplexity, as first one round head, and then the other rolled down from her shoulder, and lay like a heavy lump in her lap. I don't think it ever happened before that anyone had to take care of two queens asleep at once. No, not in all the history of England. It couldn't, you know, because there never was more than one queen at a time. "'Do wake up, you heavy things,' she went on in an impatient tone. But there was no answer but a gentle snoring.' The snoring got more distinct every minute, and sounded more like a tune. At last she could even make out the words, and she listened so eagerly that, when the two great heads vanished from her lap, she hardly missed them. She was standing before an arched doorway over which were the words, "'Queen Alice,' in large letters, and on each side of the arch there was a bell handle. One was marked, Visitor's Bell, and the other, Servant's Bell.' "'I'll wait till the song's over,' thought Alice, and then I'll ring the—' Which bell must I ring?' she went on, very much puzzled by the names. I'm not a Visitor, and I'm not a Servant. There ought to be one marked Queen, you know.'  Alice knocked and rang in vain for a long time, but at last a very old frog, who was sitting under a tree, got up and hobbled slowly towards her. He was dressed in bright yellow, and had enormous boots on. "'What is it now?' the frog said, in a deep horse whisper. Alice turned round, ready to find fault with anybody. "'Where's the Servant whose business it is to answer the door?' She began angrily. "'Which door?' said the frog. Alice almost stamped with irritation at the slow drawl in which he spoke. "'This door, of course.' The frog looked at the door with his large dull eyes for a minute.  Then he looked at Alice. "'To answer the door?' he said. "'What's it been asking of?' He was so hoarse that Alice could scarcely hear him. "'I don't know what you mean,' she said. "'I talk's English, doesn't I?' the frog went on. "'Or are you deaf? What did it ask you?' "'Nothing,' Alice said impatiently. "'I've been knocking at it.' "'Shouldn't do that. The frog muttered. Vexes it, you know.' Then he went up and gave the door a kick with one of his great feet. "'You let it alone,' he panted out, as he hobbled back to his tree. And it'll let you alone, you know.' At this moment the door was flung open, and a shrill voice was heard singing. "'To the looking-glass world it was Alice that said. I have a scepter in hand. I have a crown on my head. Let the looking-glass creatures, whatever they be, come and dine with the red queen, the white queen, and me.' And hundreds of voices joined in the chorus. Then fill up the glasses as quick as you can, and sprinkle the table with buttons and bran, put cats in the coffee and mice in the tea, and welcome Queen Alice with thirty times three.' Then followed a confused noise of cheering, and Alice thought to herself, thirty times three makes ninety. I wonder if any one's counting.' In a minute there was silence again, and the same shrill voice sang another verse. "'Oh, looking-glass creatures,' quote Alice, draw near. Tis an honour to see me, a favour to hear. Tis a privilege high to have dinner and tea, along with the red queen, the white queen, and me.' Then came the chorus again. Then fill up the glasses with treacle and ink, or anything else that is pleasant to drink, mix sand with the cider and wool with the wine, and welcome Queen Alice with ninety times nine.' Ninety times nine, Alice repeated in despair. Oh, that'll never be done. I'd better go in at once.' And there was a dead silence the moment she appeared. Alice glanced nervously along the table as she walked up the large hall, and noticed that there were about fifty guests, of all kinds. Some were animals, some birds, and there were even a few flowers among them. I'm glad they've come without waiting to be asked, she thought. I should never have known who were the right people to invite. There were three chairs at the head of the table. The red and white queens had already taken two of them, but the middle one was empty. Alice sat down in it, rather uncomfortable in the silence, and longing for someone to speak. At last the red queen began. You've missed the soup and fish, she said. Put on the joint. And the waiters set a leg of mutton before Alice, who looked at it rather anxiously, as she had never had to carve a joint before.  Let me introduce you to that leg of mutton, said the red queen. Alice, mutton. Mutton, Alice. The leg of mutton got up in the dish and made a little bow to Alice, and Alice returned the bow, not knowing whether to be frightened or amused. May I give you a slice, she said, taking up the knife and fork and looking from one queen to the other. Certainly not, the red queen said, very decidedly. It isn't etiquette to cut any one you've been introduced to. Remove the joint. And the waiters carried it off and brought a large plum pudding in its place. I won't be introduced to the pudding, please, Alice said rather hastily, or we shall get no dinner at all. May I give you some? But the red queen looked sulky and growled, pudding, Alice, Alice, pudding, remove the pudding. And the waiters took it away so quickly that Alice couldn't return its bow. However, she didn't see why the red queen should be the only one to give orders, so as an experiment she called out, Waiter, bring back the pudding! And there it was again in a moment like a conjuring trick. It was so large that she couldn't help feeling a little shy with it, as she had been with the mutton. However, she conquered her shyness by a great effort, and cut a slice, and handed it to the red queen.  It spoke in a thick, suity sort of voice, and Alice hadn't a word to say and reply. She could only sit and look at it and gasp. Make a remark, said the red queen, it's ridiculous to leave all the conversation to the pudding. Do you know I've had such a quantity of poetry repeated to me today, Alice began, a little frightened at finding that, the moment she opened her lips, there was dead silence, and all eyes were fixed upon her. And it's a very curious thing, I think. Every poem was about fishes in some way. Do you know why they're so fond of fishes all about here? She spoke to the red queen, whose answer was a little wide of the mark. As to fishes, she said, very slowly and solemnly, putting her mouth close to Alice's ear. Her white majesty knows a lovely riddle, all in poetry, all about fishes, shall she repeat it? Her red majesty is very kind to mention it, the white queen murmured into Alice's other ear, in a voice like the cooing of a pigeon. It would be such a treat, may I? Please do, Alice said very politely. The white queen laughed with delight and stroked Alice's cheek. Then she began. First the fish must be caught, that is easy, a baby, I think, could have caught it. Next the fish must be bought, that is easy, a penny, I think, would have bought it. Now cook me the fish. That is easy, and will not take more than a minute. Let it lie in a dish. That is easy, because it already is in it. Bring it here, let me sup. It is easy to set such a dish on the table.  Ah, that is so hard that I fear I am unable, for it holds it like glue, holds the lid to the dish while it lies in the middle, which is easiest to do. Undish cover the fish, or dish cover the riddle. Take a minute to think about it, and then guess, said the red queen, meanwhile we'll drink your health. Queen Alice's health! she screamed at the top of her voice, and all the guests began drinking it directly, and very clearly they managed it. Some of them put their glasses upon their heads, like extinguishers, and drank all that trickled down their faces. Others upset the decanters and drank the wine as it ran off the edges of the table, and three of them, who looked like kangaroos, scrambled into the dish of roast mutton, and began eagerly lapping up the gravy. Just like pigs in a trough, thought Alice. You ought to return thanks in a neat speech, the red queen said, frowning at Alice as she spoke.  Thank you very much, she whispered in reply, but I can do quite well without. That wouldn't be at all the thing, the red queen said very decidedly, so Alice tried to submit to it with a good grace. And they did push so, she said afterwards, when she was telling her sister the history of the feast. You would have thought they wanted to squeeze me flat. In fact, it was rather difficult for her to keep in her place while she made her speech. The two queens pushed her so, one on each side, that they nearly lifted her up into the air. I rise to return thanks, Alice began, and she really did rise as she spoke, several inches, but she got hold of the edge of the table and managed to pull herself down again.  Something's going to happen. And then, as Alice afterwards described it, all sorts of things happened in a moment. The candles all grew up to the ceiling, looking something like a bed of rushes with fireworks at the top. As to the bottles, they each took a pair of plates, which they hastily fitted on as wings, and so, with forks for legs, went fluttering about in all directions. And very like birds they look, Alice thought to herself, as well as she could in the dreadful confusion that was beginning. At this moment she heard a horse laugh at her side, and turned to see what was the matter with the white queen. But instead of the queen, there was the leg of mutton sitting in the chair. Here I am, cried a voice from the soup, Turin, and Alice turned again, just in time to see the queen's broad, good-natured face, grinning at her for a moment over the edge of the Turin, before she disappeared into the soup. There was not a moment to be lost. Already several of the guests were lying down in the dishes, and the soup ladle was walking up the table towards Alice's chair, and beckoning to her impatiently to get out of its way. I can't stand this any longer, she cried, as she jumped up, and seized the tablecloth with both hands. One good pull, and plates, dishes, guests, and candles, came crashing down together in a heap on the floor. And as for you, she went on, turning fiercely upon the red queen, whom she considered as the cause of all the mischief. But the queen was no longer at her side. She had suddenly dwindled down to the size of a little doll, and was now on the table, merrily running round and round after her own shawl, which was trailing behind her. At any other time Alice would have felt surprised at this, but she was far too much excited to be surprised at anything now. As for you, she repeated, catching hold of the little creature in the very act of jumping over a bottle, which had just lighted upon the table, I'll shake you into a kitten, that I will! with all her might. The red queen made no resistance, whatever. Only her face grew very small, and her eyes got large and green, and still, as Alice went on shaking her, she kept on growing shorter, and fatter, and softer, and rounder, and... CHAPTER XI. Waking. And it really was a kitten, after all. CHAPTER XII Which dreamed it?   Did you know it, dear? It is a very inconvenient habit of kittens. Alice had once made the remark, that whatever you say to them, they always purr. If they would only purr for yes and mew for no, or any rule of that sort, she had said, so that one could keep up a conversation, but how can you talk with a person if they always say the same thing? On this occasion the kitten only purred, and it was impossible to guess whether it meant yes or no. So Alice hunted among the chessmen on the table till she had found the red queen. Then she went down on her knees on the hearth-rug, and put the kitten and the queen to look at each other. Now Kitty, she cried, clapping her hands triumphantly. Confess, that was what you turned into. But it wouldn't look at it, she said, when she was explaining the thing afterwards to her sister. It turned away its head and pretended not to see it, but it looked a little ashamed of itself, so I think it must have been the red queen. Sit up a little more stiffly, dear, Alice cried with a merry laugh, and curtsy while you're thinking what to—what to purr it saves time, remember? And she caught it up and gave it one little kiss, just in honour of having been a red queen. Snow-drop, my pet, she went on, looking over her shoulder at the white kitten, which was still patiently undergoing its toilette. When will Dina have finished with your white majesty, I wonder? That must be the reason you were so untidy in my dream.  Really, it's most disrespectful of you. And what did Dina turn to, I wonder, she prattled on, as she settled comfortably down, with one elbow in the rug, and her chin in her hand to watch the kittens. Tell me, Dina, did you turn to Humpty Dumpty? I think you did, however you'd better not mention it to your friends just yet, for I'm not sure. By the way, kitty, if only you'd been really with me in my dream, there was one thing you would have enjoyed. I had such a quantity of poetry said to me all about fishes. Tomorrow morning you shall have a real treat. All the time you're eating your breakfast, I'll repeat, the walrus and the carpenter to you, and then you can make believe it's oysters, dear. Now, kitty, let's consider who it was that dreamed it all. This is a serious question, my dear, and you should not go on licking your paw like that, as if Dina hadn't washed you this morning. You see, kitty, it must have been either me or the Red King. He was part of my dream, of course, but then I was part of his dream, too. Was it the Red King, kitty? You were his wife, my dear, so you ought to know. Oh, kitty, do help to settle it. I'm sure your paw can wait. But the provoking kitten only began on the other paw, and pretended it hadn't heard the question. Which do you think it was? A boat beneath a sunny sky, lingering onward dreamily in an evening of July. Children three that nestle near, eager eye and willing ear, pleased a simple tale to hear. Long has paled that sunny sky, echoes fade and memories die, autumn frosts have slain July. Still she haunts me, phantom-wise, Alice moving under skies never seen by waking eyes.  Ever drifting down the stream, lingering in the golden gleam, life, what is it but a dream?


Hey, good morning. Chris Burch here, Entrepreneur Strategies. It is a Sunday morning around 10 o'clock. I received an email correspondence yesterday evening on a potential multifamily property right near Baltimore City Community College. If you're familiar with the area, it's right on Liberty Heights Boulevard. So I'm heading over to meet someone for lunch, so I figure bring you guys along with me. I'm leaving DC now. Got my entrepreneur shirt on, as always. People keep asking me about the t-shirt. So actually, you know what I can do? I'll put a link down in the video description. I think it's like 20 bucks. Get your entrepreneur shirt, kind of put you in the state, put you in, you know, what you're working on, what you're working towards. So jumping on BW Parkway heading north, I will circle back with you guys as we're coming closer to the property. So it's going to be down here on the right. So I kind of feel that this is probably better potential than I originally gave this property for two reasons. One, I'm not seeing the typical panhandlers on the street corners like you do in the city. I'm seeing big historic, almost historic style homes. I do think, do think it is on a busy street. That's one negative factor. But at the same time, is this 2611? So we're a couple houses down. But as those cars go speeding past that, I will say that it is definitely on a busy thoroughfare. But in proximity to the city college, which is right across the street, that doesn't concern me too much. All right, so we're here 2601. I'm going to say the neighborhood is good. The issue I'm initially seeing and then I'll jump out and you guys can follow along is a lot of these houses seem to be not that well taken care of on this immediate block. So let's jump out and let's see what we are here. We are directly across the street, as they said, from Baltimore City Community College. And this is the property. And this thing looks like it's going to need everything. Even if you look up, the windows are all broken out. I hear the crows crowing. But good grief, man. I saw some pictures. I don't know if this is what I was expecting. Like they vandalized this whole place. No, no, they say it's not occupied. It doesn't look like it appears to be occupied. But yeah, this thing is going to need everything. There's a lot of trash and man, I don't even know where to start. Glass everywhere. But I mean, even if you see the house next door, that's abandoned. Back here looks like they've obviously broken in. So I'm going to assume there's no utilities. There's probably no appliances. And I mean, it's a huge, huge house. I don't know if you can tell from the angle that I'm shooting here, but it's actually kind of kind of creepy. So let's go around and hear all that traffic out there. I mean, city bus. But I think location is actually pretty darn good. It's really my dilemma. My dilemma is going to be the amount of work that's until we get a better angle back here of the whole house.  I don't know what the comps are. We can come back and kind of figure out if these numbers are even going to work. But if you see here down the street, a lot of traffic, man, a lot of cars, a lot of noise. This house next door is completely destroyed.  Let me walk down there. There's an alley right here that I'm walking down kind of along the side of this house. But I mean, this sucker's got to be at three full levels with an adjacent, maybe kitchen or something back there. I'm not sure. It does have two parking spaces back here. But man, this thing is going to be a ton of work. And I just don't think, oh, so actually the parking space, look at that. The parking space actually used to be a garage, used to be a two car garage, which the roof is long gone. So I don't know, guys, I'm not sure about this one. And look, we got a neighbor. They're probably living inside.  So I probably disturbed them when I was coming around. But yeah, this thing leaves a lot to be desired for. All right, so we're back in front of this, what would you guys call this? This looks like probably, shoot, probably 150,000 rehab, maybe. I mean, you're talking about what is this? Six, six individual bedrooms, three baths. And I'm not going inside this sucker, but I do have some pictures. So I'm going to go ahead and post pictures now so you guys can kind of see the condition. I mean, I'm sure there's holes in the roof and all the like not. But so I will mention, as I was walking around, I heard, I heard something, but I couldn't figure out what it was. One of the neighbors came out and wanted to just acquire what I was doing. And he said that he had actually been instructed by, I guess, the people who are selling this property. I don't know who the owner is, but he had been instructed to keep an eye on the place.  There's nothing here. It's not even it's not even a shell because all the drywalls up, but there's holes everywhere. And there's it's just awful. All right, so I just want to do some quick comps on this property. We just looked at on Liberty Heights. So this is our subject property right here. 2601. You can see it actually sold in 2017 for 32,000. Their current estimate. Now this is Zillow. Probably not the most accurate as far as comps, but just to give you guys an idea, tax history on this property. Someone bought it in 15 for 53. It was listed in 17 pending, then it was removed and then it sold for 32. So as you saw, 49,000 is the asking price. I'm saying 150 on rehab and I might be lowballing that. But if you look here at not real comparables, I'm seeing an estimated value of about mid hundreds, mid 100s. I see one here is a five bed four bath sold for two 15 in 2018. Completely different house, but I'm just not seeing it. I'm not I'm not seeing the amount of work entailed with the photos you guys just saw the video you just saw. I'm not, I don't see it.  So even at that point, I just don't see it there, guys. Hey guys, I always forget to do this in the middle of my content. But if you enjoy the content that I'm bringing you, please don't forget hit the subscribe button, hit the bell to be notified when I go live or post new content and comment below. I'd love to hear your thoughts on the content we're providing and what we can do to help you.


Hello and welcome to 50 days of keynote, 50 things you can create for the classroom brought to you today by me, Alicia Bankofa. Today's day 47, I'm going to show you how to use keynote to create character maps. These are really cool if you're teaching a language or English class, where you're doing a story or a novel. It helps you to easily visualize information, recognize relationships, include character traits. Because it's a keynote, you can use audio-video animations. This helps the students to easily memorize or grasp key points. Here's an example I created for Charlie and the Chocolate Factory, which we're doing right now in English. All the main characters are there and they're all interconnected because they all have interactions with each other in the novel. If you tap on the character icon, you're taken to a detail page. On the left, you can see an excerpt from the book. On the right, there's a description of the character. On the top left, I've included space for students to record audio so they can read the passage and tell us what they think about the character. And on the right, they can also tell us what they know what happens to the character at the end of the story. Tapping on the arrow takes you back to the main page. This, of course, works with all of the characters on the main map. You can just tap to see the detail page and tap back on the arrow to return to the main page. And how is this done? Let me show you. So as you can see, all the icons have links to the respective slide. All you have to do is just tap on it and just assign a link. So this is link to slide 10, for example. And if you tap on a detail page, you can see that the arrow links back to slide 5 in this case, which is the starting slide. Of course, you don't have to do all the work yourself. You can have the students create the document themselves and you can include as a blank slide as a scaffold to get them going. Much, much thanks to Jamie Clark, expert educator on Twitter for having this idea, for inspiring lots of us. He has a really cool page where he has all his learning resources and he has also a character map of Animal Farm. Thank you, Jamie. That was it. 50 days of keynote. All videos are online on Padlet and all keynote files are here. See you tomorrow.