Hi everyone, welcome to this CUBE Conversation here in Palo Alto, California. I'm John Furrier, host of theCUBE, here featuring John Dahl, an entrepreneur and CEO and co-founder of MUX, one of the hottest video platforms and fast-growing startups in the industry. They've been selected for this upcoming AWS startup showcase in April and April 5th. John, welcome to this CUBE Conversation. Thank you, John.  Video is at the center of the pandemic and the way where people are using it for video conferencing, we're seeing all the success, but video has been this dark art. It's been hard to use, it's been very difficult unless you were in the business. But now you guys are bringing a new model, making it easier to use, and making it developer-friendly, which I think is really compelling. So congratulations, love the story. First question, what is the business of MUX, the tech, the consumption model? Can you take a minute to explain what MUX is all about? Yeah, for sure.  So we are APIs to all of the different hard problems that you have to deal with if you want to stream video online. Like you said, the video is growing. It's a really important part of the internet today. It's a really important part of the future of the internet, and yet it's still really, really difficult to work with. The kind of status quo is you hire video experts and you build your own video platform if you want to stream video online. And so we built MUX in order to do all that hard, heavy lifting for thousands of other companies. So we are core infrastructure for video streaming for companies like you and any software company really that wants to work with video. What's interesting is when you look at the rise of the video creator or the influencer or media company or any business, cloud computing has shown the way of a new business model, standard up quick, be agile, and fast DevOps is infrastructure as code. You guys are kind of like videos code. I mean, simply just API enable and you're up and running. Is that right? Yeah, that's exactly right. When we started the company actually is we're thinking about how do we want to shape the products? We actually thought about our experience. The founders are all developers. We thought about our experience. If we were going to design, if we were going to build software and just think of an abstract API to video as an entity, how would you design APIs that give you that kind of functionality? So we spent a lot of time thinking about API design and the developer experience of what we're doing really in order to let developers build the way they want, build as anything they want with video in as easy a way as possible. You know, it's interesting and I love to get your thoughts on this because this brings in the whole data aspect of it. You know, building better video data is something that you guys talk a lot about and that's a background you guys have come from. You kind of vected in that way as developers. So you combine data analytics with developers which want to make it easy and fast and get it out there. As you bring that together, what is the real benefit that with this model of the cloud? Can you share your thoughts of how you bring that video and data piece together? Yeah, for sure.   And yet a lot of people are streaming video today at scale at high volumes without really great insight into what actually happens when they stream video. So the first product we actually built was a product called Mux Data which is an analytics platform for developers operating video platforms. So the user is a DevOps engineer, whoever's on call for the video stack as well as marketing teams who want to see how his video being used. So we built that because we knew how important it was. We built video platforms before for ourselves, a company called ZenCoder, for a company called Breiko that we ended up spending some time at after selling ZenCoder. And we saw firsthand how impactful data is to building great video streaming. What's the role of cloud in all this? How do you guys see the cloud playing into this?  But I think really what the cloud is and does is a way of abstracting really hard problems from developers. So if you look at the world today, there's actually more demand for software than there are software developers to build it. There's just softwares growing like crazy. There's just huge need for software. And so in that kind of situation, one of the most powerful things you can do is make it easier for developers to build things. So that's why DevTools are so important. That's why you see so much growth in that area. And we do that for video. We replace tens of thousands, hundreds of thousands of hours of engineering time to build the same thing everyone else has to build your own version of Netflix or YouTube or whatever. So that's kind of how we fit in. But I really think that's a lot of what the cloud is is a way of accelerating the growth of software. Andy Jassy always says on theCUBE, we want to do all the heavy lifting. And that sounds like what Mux is doing. I know you guys have that analytics culture. What influences that have on your business decisions and the product roadmap? Yeah, a couple of things. So we really directly use data in our technology. So as we build video streaming, which is our Mux video product, as we build other products over time, whenever possible, we want to build them with data first. So we actually have a lot of data into how people stream video, and that can inform the way we design products. As a business itself, we also, as we've grown, we've stood up our own analytics team, which has just been hugely important. I have so much more insight into our business now than I did two years ago before we really invested in our own internal analytics team. How hard was that to do? How hard? It's the kind of thing that, I think you benefit by hiring experts. So I know how to, I kind of know how to look at data and make decisions from that, but I'm not a trained data analyst. I'm not a data scientist. I'm a software developer, turn, turn founder. And so, I think early when we were small, we were a 20 person startup. We aspired to be data driven or data informed, but it's hard, honestly, at that scale. So as we got bigger, we actually hired, it was hard to find great people, but we built a really strong analytics team, BizOps team, data engineering team. And I think what we're doing now, we've done over the last years, is just learn how to use that data, learn how to leverage all those, that expertise and the data that we have to make better decisions. Well, speaking of data, and you got a lot of coming in because you guys have been highly successful. And again, your product has really hit the right time. Because people want to code, they want to build into the applications video, video first as everyone's going in, data first, video first. What kind of data do you guys have on the use of the video, on the rise of the consumption side of it? Especially as you're seeing it in every application now. Yeah, I mean, we have a couple of things. We have our own growth of video streaming, which has grown really quickly. Probably no surprise, but I think we saw live video grow by, just like you measured, by like 3,000% in 2020. We just saw a huge explosion of new companies doing live streaming and existing companies that were doing other kinds of video really lean into live. So I think we've seen the fastest growth in the world of live. But really we've seen growth across the board on different platforms, different types of video. What's your advice to folks out there because you guys now are our key building block. And again, love the API approach, easy to integrate in. Again, we're customers, happy customers on our end. When you see applications being built, what's the trend? What are people doing? Are they rolling their own video apps? Is it, do you guys see you guys as a platform as a service? It's not a tool because you got the platform, but there's tools out there. So you get the emergence of more tools and the need for more platform. How do you see this kind of shaping out? Yeah, it depends on how you define the different categories. The way we think about it is we're infrastructure because we sit low down in the stack.  We just do that. We just do the heavy lifting under the hood. We move the bits, we do the encoding. So we're infrastructure. We also see ourselves as a platform because you can build flexible things on top of us. And we have each of the different parts of the video stack. We have live video, on-demand video, data, player, those kinds of things. So I think, like you said, there's really a lot of different related categories that are a little different. So we see tooling being something like MUX data, where it's not really the operational flow of something. It's more on the side to make it better or to give observability or to increase developer productivity. Yeah, data's key. And hybrid events are big too. You've seen that. Simulive is a big growth category, I'd probably imagine. What about reliability and uptime? I can envision kind of an SRE role emerging around video. I'm sure you guys are dealing with it every day because you're the transport, you're moving bits around. No one wants downtime. Yeah, absolutely. I think, again, I think the infrastructure of video streaming, like we really need to deliver that with exceptional uptime. And everyone that we rely on and we build on top of other cloud platforms and we build on top of other tools. So we certainly invest a lot in that. I think the other side of that is we are that to our customers in some ways where we give them real-time data about what's happening on their platforms. So there's stories I can't tell because of NDAs, but we've had major events where live video has kept streaming because someone detected a problem early using MUX data and was able to remedy the problem before it actually impacted users. But absolutely, I mean, SREs are- The cloud helps because you can spin up all kinds of queuing and all kinds of cool things. I mean, new microservices could be built as the future's limitless here around video. What are the biggest surprises do you see? Looking back, I know you guys are kind of a humble startup, I would say.  You guys are good products. What's the biggest learnings you'd look back over the past two years with MUX and video? I mean, I think some of what has been unexpected is the uses of video. I think we didn't, no one expected the pandemic and we didn't expect all of the ways people would adapt. And we've seen some really fascinating things from offline businesses very quickly building their own digital arms, which you'd think they couldn't, but a lot actually really successfully did back in 2020. And then now a lot of companies going in that hybrid direction where maybe a yoga studio will forever have in-person classes as well as live-stream classes or a university will have in-person and live-streamed or on-demand. What are some trends that you'd recommend people to look at they want to get into some video development? Where should they stay away from? How should they double down on obviously cloud scales? Obviously easy to stand things up in the cloud. Role of data is important. How should someone roll their own with MUX? What's the best practice? And do you have a playbook or things developing? Yeah, yeah. So I think, I mean, we think about a video is just a high bandwidth way of communicating. Communicating with one-on-one or with a group or learning or whatever. And so, first understand what your audience cares about and understand how video can help drive that communication. And then as you're building, I mean, I think obviously take this with, I'm heavily biased here, but we don't think anyone should build their own video infrastructure today. And unless you can devote maybe 200 full-time engineers to it, I think that's a reasonable benchmark for like really starting something from scratch and going all the way. You know, as a small company, maybe a team of five can do something, but you really need to decide what's most important to your users and how do you avoid doing the undifferentiated heavy-lifting that Andy Jassy talks about? Yeah, and I think you guys have, the founding team have the years of experience, decades of experience collectively between you guys. What's the secret sauce?  If someone asked you two questions, what's the secret sauce and what's the culture like at MUX? Yeah. Yeah, secret sauce. I think for us, it's two things. One is, again, developer experience. So really deeply understanding how do people want to build, understanding how developers like to bring APIs in their platform or tooling into their platforms, investing a lot in API design and documentation and finding the right abstractions over these hard problems. I think the second is performance. So if you're going to do something like video and this applies to any number of other technical products, you really need to go deep. So it's really important for us to do things in order to publish via better and higher quality, publish via faster, more higher reliability and all that. So lots more, if you want, lots more we can dig into there if we have time, but those are probably the two most important. What's the culture of the company? Have you had to define it? Yeah, if you'd ask the team, probably the first answer you'd get is be human. That's one of our core values is be human. So we tend to have a culture of caring about people in the company, caring about our customers, treating people like people and not treating people like just means to an end. I think we also have a culture, we have another value of care obsessively. So we have a culture of really caring about doing great work. So we try to hire excellent people who are excited to build great products or to serve customers well. So probably those two would be the most important. Well, great to have you on, John. Congratulations on the success of MUX. Thanks for building the product. And again, infrastructure as a service for video, whatever you want to call it, it's the beginning of a big wave. Video is not going away. It's just has to get easier and easier. Awesome, thank you. Thank you so much. Thanks for coming on theCUBE. Appreciate the conversation. Keep it right there for more coverage from theCUBE. I'm John Furrier. Thanks for watching.


Hi everyone, I'm Matt Ranger. I'm a data scientist at a company called Equizio. This talk is not gonna be as technical as the other talks. There's not gonna be a single line of Python. It's more about higher level issues and trends that you're gonna see in the industry. Obviously a lot of Python people, it seems about a third of the audience as data scientists here. That's gonna be relevant to you. Hopefully it's gonna be interesting for everyone though. Almost everyone spends a significant amount of their days dealing with recommendation systems either through feeds like this or otherwise. Recently we've seen a couple of issues. People have been talking about filter bubbles for instance which is the longer you interact with such a system the more it becomes specialized to you and the more it tunes out things that you might be unaccustomed to. So people who are pretty conservative are gonna end up on effectively the conservative internet and people who are liberal are gonna end up on the liberal internet. That's been fixed recently in YouTube but for instance for a long time some people who are really into conspiracy theories would have their world sort of filter out into the rest of people. If you search for lunar apocalypse in 2018 on YouTube you'd get things about the flat earth pretty fast. If you search for CIA you'd get stuff about the whistleblower or CF for some reason. If you click on those links long enough you end up in a Nazi held whole of conspiracy theories. It actually takes about three or four levels. They got better at this recently after the outcry from the Wall Street Journal articles that came out back then. Similarly and more concerningly this is a study from ProPublica two years ago where police stations in Florida were using a recommendation system to predict the probability of re-offending and it turned out that the system was extremely racist. So by, yeah shockingly so. If you just look at the two people there. So that's what's actually been called in the media as algorithm bias. It's not actually the algorithm that's biased. The algorithm's fine but people are terrible and the algorithm emulates what people tend to do and it scales it up. So it actually makes the problem worse and at bigger scales. So the question I'm here to ask is in this case is better or worse. So are better algorithms actually just worse overall and over time? So we're gonna talk about that. Filter bubbles and algorithm bias I think are inherent to those types of systems and with just common knowledge, easy checks, we can and should do better. The fact that YouTube was doing this pretty bad and that they have a gigantic data science team last year means that we're pretty far behind what's happening just as a community. Most of those systems work in a pretty simple way. Basically you have Y which is going to be the number that ranks your feed if we talk about let's say Twitter which is mapped from X which is gonna be your personal user data through a function called F. So in the old days let's say Twitter, F would just be from the people you follow select the most popular post in the last 24 hours. Nowadays most systems are gonna deal with stuff like gradient descent. So let's say it's going to find the probability given some more complex attributes like let's say the length of time you've watched similar videos in the past your age stuff like that. The thing is even though we're basically in the peak data science hype these days those things aren't really new. Linear regression is more than 200 years old. We've added a bunch of data and we've added a bunch of fancy buzzword and algorithms to it but we're basically doing the same things that we've always done. So those issues aren't really new. Then why do people say that machine learning is really hard to maintain and leads to a bunch of problems? Well, those guys point to feedback loops but they also point to just technical debt where if you think you have a system that looks like this where you have raw data and then you have a couple of transformation you train models, you feed those models to people who ask for them it actually ends up looking something like this over time which is normal but software engineers have dealt with those sorts of issues over time for since the 80s and we know how to deal with spaghetti code by this point, so that shouldn't really be our excuse. What I think is the problem actually is that what we call supervised learning where you take user data and you train it to get the best answer for some problem was not gonna solve the problems that people actually have with it like filter bubbles or algorithm bias. It's actually optimizing for those things. If you look at a system like this where you have data and your algorithm is gonna live over here and it feeds answer to the user that's going to be your black box in theory but in practice what happens is that the user data comes back in the next iteration which is fed to the model in the blue box but the problem is the blue box only thinks about what's going on in the blue box and not the whole system but the whole system moves over time. The first thing you're gonna notice if you start digging into this is a thing called path dependence which everyone's basically been in contact with with the concept of post going viral. If you look this is the same exact post on Reddit posted twice about an hour ago by some person in Reddit slash you slash data is beautiful. One of them went about 60 times more popular than the other one and the only reason for that is that it was lucky early on and because it was popular it was recommended to more people which means that more people saw it which means that it just snowballed. Sorry. This sort of thing is gonna happen regardless of if your function that maps the recommendation is a simple sorting algorithm or a fancy neural network it's inherent to the structure of the problem. So all the data science hype is not gonna fix these sort of things or this is another example from YouTube. If you just keep on clicking on recommendations you're gonna get more and more popular videos. So basically videos become popular because they're popular recursively. Now this is not really concerning about viral posts because no one cares.  So it turns out lawyers have criminal sentence recommendations that they give to the judge. It basically works like an algorithm so you have input which is your defendant and his record and the exact thing he's being convicted for and then you have a bunch of rules and then you add random noise which the lawyer's call a judge and basically one of the rules here that we have this is in the US but same thing in Canada is that if you're a judge then you can't convict someone much differently than convictions for similar cases in the past.  For instance recently there was Paul Manafort who could have been sentenced for up to 40 or 60 years in prison and got four for doing a bunch of awful things or the bankers in 2008 who got basically nothing whereas people who do petty crimes because historically theft or similar crimes get harder jail sentences. You just get similar things that happen over time. So yeah, as this one lawyer says the system's discrepancies become self-justifying and self-perpetuating.  If you're the judge and you come up and you have these rules and people historically have gotten low sentences you can't just give them a higher sentence because you think that's what's fair. You're basically stuck in the system where you have to give low sentences because low sentences are given and nothing else. Similarly the Reddit posts being popular just because they're popular. Most people don't really deal with those issues unless you're dealing with a large system with a bunch of users but we're gonna have a riddle for a second and we're gonna tie this back to actual systems that almost everyone uses every day. Here's the riddle. The counties in the U.S. where the incidence of kidney cancer is the lowest are mostly rural, sparsely populated and in Republican states. If you consider the counties where the incidence of kidney cancer is the highest they're actually exactly the same type of counties. Does anyone have a guess why that might be the case? If you haven't read a book called Thinking Fast and Slow? Yeah, sure. That's a really good, actually, yep, that. You're pretty close. There are two things. Most counties are that type of county and those counties have very, very few people. So one person having kidney cancer more or fewer changes the actual overall rate for the county by a lot. So if you look here, for instance, this is the incidence of kidney cancer and this is the population over there. If you look at Chicago over there they're basically exactly the average because there's a bunch of people in Chicago.  If you live in the Pulaski County, Illinois with 45,000 people four average cases per year if your grandma gets kidney cancer moves the average a lot. What happens here is that if something starts in any of those systems over here or over there because the systems are self-reinforcing you're gonna end up in a loop. So a lot of the posts that are popular on Twitter, Facebook, YouTube just start lucky and keep snowballing. And a lot of things actually start down here and keep snowballing down whether it's the justice system or recommendation system for some media you're watching. The other issue is that over time the entire software system does its whole optimization. If individual parts in the system feed data into other parts and those parts are actually optimizing over things then the system is gonna end up somewhere over time. The easiest way to look at this is if we make our previous little system just a tiny bit more complex and we look at, let's say, Twitter, Facebook or YouTube as a whole and instead of just having a recommendation system giving recommendations to users you have content creators that make content that has to be fed. Then the content creator is personally trying to optimize for money or views or some personal purpose. You're not gonna make content put it on the internet for no one to hear. And so they're gonna react to what they think the recommendation system is actually proposing. So for instance, when people think that YouTube recommends longer videos higher what happens is that over time the videos on YouTube become longer and longer and longer. You can argue that this is also because it's easier to upload videos to YouTube but this is cross verified that just the average, let's say makeup tutorial went from three minutes to 19 minutes and rambling about a dog now because people who make those types of videos think that longer videos are better.  This is pretty simple. It's because people who deal with recipe sites think that time on page is a positive attribute in a Google search. So they're actually gaming the system to force you to swipe a couple of times to get to the recipe, the SEO. That's not really optimal user experience just an artifact of how the system evolved over time. There's another more concerning issue also is some people deep mind especially put a paper out recently think that and it's pretty reasonable the systems you interact with daily actually affect your taste.  So everything's actually moving at the same time. This gets pretty terrifying because we've looked at pretty simple examples but if we go back to the bucket of spaghetti that feeds data back into itself it's effectively impossible to reason about. At this point you basically have a bunch of random things optimizing in directions you don't really understand and people trying to make money out of it and the thing is only working because of a scaffolding of scary code that you don't really understand. So what do we do about it? Well first knowing that this is an issue is a pretty good start so that's good. The other thing we need to know is that this is not really a statistics problem the problem is outside of the actual algorithm you're dealing with. People have studied this in like game theory for instance for a long time this is a paper from the 90s early 90s that looks at in games if you believe nonsense you can actually reach an equilibrium as long as and this is the important point as long as you don't have anything that proves your beliefs wrong you can end up in pretty weird places. This was put in response pretty scaringly to the Federal Reserve in the US mismanaging basically their money until the 1970s because they didn't believe that certain combination of inflation and unemployment was possible and would have a certain effect until they tried it and it turned out it didn't and now they're much better at what they do so that caused a bunch of studies on this thing and I think anyone that works on any type of system is affected by this anyways. So if you go talk to computer scientists the actual solution to this sort of problem where you have a system that feeds a recommendation and this recommendation changes the possible actions of the other person and that person takes a decision which feeds back what they tell you is well reinforcement learning is what you're supposed to do. More simply I think it's pretty ridiculous to expect everyone to take all of their what we call supervised learning system where you train something to find the optimal let's say conversion rate for a click and transform them into reinforcement learning systems. First of all because reinforcement learning systems work on timeframes that aren't basically possible for most systems we're looking at. However there are a couple of things that we can gleam from this. The first is that there's a trade off between exploring and exploiting and if all you're doing is optimizing then you're never exploring so you're just gonna end up in filter bubbles. This is a given and this is basically everyone who studied this in other fields came to that conclusion it's just because we've been in our little niche here optimizing as hard as we could for five years that we got to the place we are. So even if you're not gonna put a full blown reinforcement learning system over your entire architecture just adding some random exploration is gonna make things a lot better. The paper I referenced from DeepMind from a couple of weeks ago that's basically their conclusion. Just put some random exploration on top of any system and you're already gonna be in a much better place. There's a reason for that too.  The other point is that you don't necessarily need to reinvent the wheel. Let's say you have a system where you're collecting blood sample data and you're building some sort of algorithm to predict if a person has tuberculosis or some other disease. The blood is probably not conspiring to have you predict leptospirosis instead of tuberculosis. It doesn't care. The blood's not gonna evolve. It's not gonna react to you. So all you have to think about at this point is basically rare disease in the small data case like we had before and just try to get enough data to have confident predictions on every category and not try to predict a common disease over a rare disease when you don't have a lot of data on a rare disease that turned out not to be diagnosed ever. But you don't need to go crazy if you don't have humans in the loop that are just doing their own things on top of it, on top of you. The last thing I wanna talk about is that you should pay close attention to the target variables. So recently Facebook said that they'd change their giant, basically the KPI that ordered the Facebook feed from engagement, the meaningful engagement, basically meant that they refactored it towards something where it's more important if you comment with people closer to you than just random people. And I think they hoped that this would turn down the political shouting at each other. But at the end of the day, if you have a KPI like this, what you're doing is that you're folding the entirety of human experience into one number. And this turns out to have a lot of hiccups if you're not doing it carefully, right? If you take the entirety of your human experience of using Facebook and you're tuning it to exactly just how often you comment, like and share, then you're skipping over a lot of things. It's like if you're taking three dimensions here and you're folding it to two dimensions, then you're gonna have artifacts. In reinforcement learning, when you're specifying exactly the target. So this is a boat and it's being trained by a reinforcement learning algorithm to win the race and make as much points as possible. But it found that it's easier to just spin in circles and hit those three boxes right there and make as many points as possible, as fast as possible, even though it loses the race. This is just a little artifact of how they specified the reward function for that boat and the algorithm that drives it. And this turns out to be the optimal solution for this thing. So you should watch out about how you specify your objective functions. In solution to this, so for instance, going back to economics, people measured countries and basically they played the who's got a bigger one contest with countries for a long time with GDP. But that's not really a good representation of the actual quality of life in countries. So over time people have moved to other things like a social progress index or the human development index which measures a couple of things and then melds them together into one number which is a better way of looking at things because for instance, Saudi Arabia has a bunch of money but living there if you're a woman is probably not the most fun thing. Similarly, so it's a better stack ranking if you're trying to fold a bunch of dimensions into one to actually take parts of every single dimension. If you wanna look at user engagement or time spent on Facebook then you might wanna look at 50 different things and fold it into one number and optimize over this instead of one simple number. The other point is that if you're measuring things over the short term then you're doing it wrong. This is a study from Pandora which is a pale competitor to Spotify I guess and they measured what happens when you take just a bit longer time to load ads. And so the vertical variable is the number of unique listeners per treatment group and what happens is that over time you get more and more annoyed by ads being worse and if you measure basically the difference here your boss is probably gonna tell you keep getting ads because ads are a trade off between money and pissing off your users. If you measure over there then the trade off is completely different. Similarly, whenever you're looking at conversion rates or retention rates all of those things are always defined in terms of time. So if you're looking at how do you keep your users looking after one week or three days is different than looking after six months and this is important. So just to close out I've been going pretty fast through all of this. The financial crisis in 2008 this is an exercise in short term KPIs for people who didn't know this is completely unrelated to Python but I think it's a fun fact. The CEO of Bear Stearns had 90 million dollars in bonuses and withdrew 300 million dollars from his equity in the company before the company went bankrupt. Interestingly, the year before he seemed to have knew because he withdrew a lot of money right before Bear Stearn crashed. The question that happens there is that if you're the CEO of Bear Stearns you're paid mostly in bonuses and in equity that you can sell then you don't really care if the company goes bankrupt because your bonuses are year to year. So all you want to do is pump the stock of the company year to year and if you get canned and you're not going to jail as we saw anyways then you're basically incentivized to do what they did coming up to 2008. So having these sort of short term KPIs where you're not incentivizing your management to think long term for the company can lead the pump and dump schemes that lead the financial crises. So what did we learn today? Recommendation systems their problem are not gonna get better because we're not doing the correct thing. Even without a full blown crazy reinforcement learning model just going to your boss and saying we should spend a bit of our optimization time to actually have exploration over the entire dataset is gonna make things better. And if your boss comes to you and tells you that we should look at short term KPIs because we want an IPO soon. Maybe if you want an IPO soon but in most cases you probably want to think about longer term and composite KPIs that look at several dimensions at the same time. That's it. Thank you.


The oldest person in the world keeps dying.  And then she lives for a while and then she dies and then sometimes she'll turn back into a man. The oldest person in the world never stays dead. Now that might seem kind of silly and you probably suspect something fishy is going on here. That doesn't make much sense what I just said. However, it gets at a really deep point in philosophy that comes up all the time that I talk about frequently. Misunderstanding the relationship between abstract and concrete. It sounds like this particular semblance of words sounds like I'm referencing something. The oldest person in the world. It sounds like I'm referencing something concrete. However, when I talk about the oldest person in the world, I say things like the oldest person in the world keeps dying. What does that mean? Well, what it means is what the actual concrete referent of the oldest person in the world is. References a person and then that person dies which means somebody else becomes the oldest person in the world. Maybe it changes from male to female. And then that person goes on living for a bit and then that person is the oldest person in the world. And then that person dies and then the oldest person in the world applies to somebody else. Now that doesn't mean we're actually talking about the oldest person in the world transmogrifying into different genders and then being reincarnated. It's simply a label. It's an abstraction that we use to reference different things at different times. Can you imagine the imprecision of thinking about the world this way to think that we're talking about one person? The oldest person in the world is referencing one person. Now if you see the errors of that way of thinking, then I urge you use that lens to see where it comes up in other areas of thought, especially economics and politics where people misunderstand the label for the thing that the label is attached to. Let me give you an excellent example. How many times have you heard this phrase? The rich keep getting richer and the poor get poorer. Or they'll say things like the rate at which the rich get richer is increasing at a rate faster than the rate at which the poor get richer. And it sounds like, oh man, you have this upper class of people that are getting wealthy and the poor class just isn't getting as wealthy. It sounds like there's this struggle between the classes. You hear this all the time, especially in leftist rhetoric. But this is the same abstraction error, I call it. Because whenever you actually look at the data, when these people are talking about the rich getting richer and the poor not getting richer as quick as the richer getting richer, it's always they're talking about quartiles. They're not actually talking about individuals. They're talking about the top 20% of wage earners versus the bottom 25%, 20 or 25% of wage earners. Those are abstract categories. They're not actually individuals. When you analyze the data and you look at the storylines of individuals, what you find is you have individuals from the bottom quartile going all the way up to the top quartile and then falling in the middle and then going to the bottom and jumping around. Similarly, you have people from the top falling into the bottom quartile and they all jump around. There's all kinds of movement of actual individuals between all these quartiles. It's not just some aristocratic elite wealthy people that are somehow getting wealthy disconnected from everybody else in society. It appears that way because people are making abstraction errors. What's actually happening is there is some shred of truth to say that the top quartiles rate of income is increasing faster than the bottom quartiles. But that's only when we're dealing with averages and you're not actually tracking individuals. What matters when we're talking about politics or economics is the plight of individuals, not abstract groups that don't actually exist. It's one thing to say an aristocratic group is getting richer at a faster pace than the rest of society. That's what it sounds like when people are talking about it, but in reality that is not what's going on. It's the exact same error to think that the oldest person in the world keeps on dying. These are just two pronounced examples of what I call abstraction errors, but really you see them all over the place. It's not just in politics, it's also when people are talking about cultural phenomena, especially when they're talking about ethnic groups. They talk about ethnic groups as one abstract blob as if somehow white people or black people or some acting entity that you can somehow describe. Not realizing that when people are talking about those things they're talking about abstractions. What is abstract is not concrete. If you actually want to have careful analysis of anything you have to get through the abstractions to see what the label is attached to. You have to get through the abstractions to see the actual plight of the concrete individuals that you're talking about. This is why I see individualism in a very positive light. Not just politically because I like libertarian ideas, not just economically because I think it promotes economic well-being, but I think it's metaphysically accurate. An enormous amount of error is throughout the social sciences in treating groups of people as groups rather than as individual people. The last area in which you see this abstraction error that I'll just give you a little tidbit now is of course in mathematics. Imagine I say the set of all positive integers. Ooh, that sounds like I'm talking about something, doesn't it? One, two, three, four, five, and so on. Let's put all of those integers together into a set and let's say we can reference and meaningfully talk about the set of all positive integers. Well, I'm sorry to say modern mathematicians make claims like that all the time. They use language in that particular way and unfortunately they make abstraction errors. And though it seems kind of esoteric, it will become clearer and clearer just how pernicious these abstraction errors. It is not the case that there is such a thing as the set of all positive integers. It sounds like you're referencing something. It sounds like you're referencing something. We were talking about the top 20% or the oldest person in the world, but really when you dive into it there is no such thing. And if you develop a complex theory based on some properties of the set of all positive integers, you're going to make just as many errors as if you develop your theory based on the notion of the oldest person in the world is somehow an immortal being that dies and then still gets reincarnated.


To those who appreciate music, but do not create it, the whole process of musical composition is a major mystery and usually the artist himself cannot explain it. But there is on record the story of one man, the great Frenchman Charles Camille Sassas, who knew that death itself had produced his requiem. In 1871, Sassas was known merely as a brilliant young virtuoso. He held the post of organist at the Madeleine in Paris. On a certain day in January of that year, when the Franco-Prussian war was drawing to a close, he applied for a brief leave of absence, so that he might meet his old friend Henri Renaud in a town somewhere near the front lines. Renaud had written in that he would be spending his day's furlough there, but when Sassas arrived, the commanding officer to whom he applied for information told him, I am sorry, Monsieur. The company to which your friend is attached has not yet returned from the front. If you will do me the honor of having dinner with me or whatever, Renaud's loss will be my gain. So the composer, deeply disappointed though he was, sat down at the table in the commanding officer's quarters and the two men dined together. The dandelion wine was powerful if not tasty and before long Sassas had forgotten his disappointment and was enjoying himself thoroughly. Yes, Camille Saint-Saëlle was an excellent spirit and then suddenly he stopped laughing. The smile was gone from his face and then of the wilted brown throat his brow. How strange! How very strange! Monsieur, what is it? Are you in? I heard music, music in my mind of course. While I was laughing, it came very suddenly. Chords that I've never heard before. Usually I must labor to find a scene. This one came almost as if as if it was someone else who created it. A theme for a symphony perhaps? No. Not a symphony. It is too sad for that.  They speak only of death. If I use them at all, it must be for a requiem. Saint-Saëlle returned to Paris that same evening without having seen Henri Renault. It was on the following afternoon that the commanding officer in the little town sat down reluctantly to pen a letter to his recent vinaigrette. I must listen to pass on to you this sad news. Yesterday, even as we sat together at dinner, your dear friend Henri Renault was killed by an enemy bullet. Yes, Renault's death had occurred at precisely the same moment that Saint-Saëlle heard the tragic chords. And the Greek composer himself was profoundly impressed by the fact. It is a matter of fact that his immortal requiem came into being at the very instant that his dearest friend met his death on the battlefield. And this is a fact incredible but true.


Welcome back to Japan. This is the second vlog in a series of what will be three vlogs So if you didn't see the first one of us going around Akihabara and Nakano, you can watch that first We've watched so many Nintendo Switch games Today we're headed to Shibuya when Nintendo has their official Nintendo Tokyo store when I went to Japan in 2019 this store hadn't been built yet I know the last vlog was just all buying switch games But today we want to see some more of Japan's culture before we get to Nintendo store, which is video games Yeah, we just got our regular old boring hotel. It doesn't have a nice view or anything Wait a second Yeah, it does. It's been two very exciting days so far first day was all Akihabara Yesterday was Nakano that I bought some games, but it was mostly about the fun things that we saw I think Kim got a lot especially in big camera. Well, yeah that but also the gachapon machine That was like one of my main things that I wanted to do while we were here Kim and I are gonna go get breakfast right now. And then I think today is Shibuya Make that a cool transition or something. I don't know. No, don't just leave it like that. Don't listen to Kim No We all know that Japan has great food But you know who else has incredible chef prepared dietitian approved meals delivered straight to your doorstep the factor I brought this in my suitcase Factor is sponsoring today's video And I'm also using factor to get healthy and fit again Each of these calorie smart meals are around 500 calories This looks incredible and I am dying to eat it. I just microwaved it in two minutes It's roasted garlic chicken my guy. It's only 370 calories and I think this is the best smelling factor meal.  There's something for everybody They also have these delicious fresh press juices. Why don't you click the link below or head to factor 75.com and use code beat them up 50 to get 50% off your first factor box We're headed to the Tsukiji fish market It was the world's largest wholesale fish and seafood market in the world until 2018 Yeah, no, I don't really like fish or seafood in general But this market has so much more than that specifically snacks and meat There's a lot of great meat that comes out of japan But one that you've probably heard of is wagyu wagyu beef comes exclusively from japan It's an exceptional quality meat and it comes from the highest most meticulous forms of cattle raising these meat lollipops may be about 30 dollars a pop But it's one of those things you have to try while you're there and it is so good for what it costs in america. This is great You agree The vibe of this fish market is fun It reminds me of pike place in seattle where when someone orders a fish They all egalite each other and start throwing fish around That's a nice sound Good lord, nice Which one did you get caramel and soda put soda is like ramanese soda we're about to find out Okay, that's kind of crazy. There's like a caramel swirl in the soft soap and it's like big red Big red cinnamon. No, no, no, no not the gum the soda. Oh like bubble gum kind of tastes like blue It's like blue. This is my favorite thing that I found so far It's pork it's fluffy it's like a cloud I mean Oh, he makes this like There's a little bit of love in there. Yeah, if you've had one, you know, if you haven't you can't even understand how good it is I tried making dango once from my monster hunter review. I ended up being just pure flower It just was disgusting. I didn't do a good job I like it. Okay, okay, but enough fish. Let's get to the good stuff Pancakes it's finally finally happening. This is flippers world famous pancake, please I had never heard or seen this before we were here and then suddenly everyone was like you haven't heard of flippers But their pancakes are these giant wobbly delicious. I mean it's its own thing It's kind of like calling a crepe a thin pancake. It's a crepe. I feel like these big fluffy pancakes need their own name as well Okay, okay The nintendo store we walked across the road We went up an escalator and it was like the stairway to heaven The first thing that drew my eye were these four collectible Statues, what is that? These are not amiibo. These are like their own little statues But I have to buy it But I have to buy it I'm actually watching the footage back now and it was literally about a 20 second span of me going up that escalator to Having this link in my hand and yeah I bought it. It is so cool really heavy and quality It's way better than an amiibo and about three times the size. This is so hacking cool I don't know what this is or how this exists. There's splatoon animal crossing mario They have giant versions of these statues in four different corners of the nintendo tokyo store There's a mario section is platoon section Animal crossing and zelda and around each of the statue is a ton of merch and things that you can buy For that ip and there was a lot of stuff that I hadn't seen before I was in awe of just how large the store was how many people were in there and how much stuff they had The animal crossing selection was really cute. They had a really nice thermos and pot and even rooster's coffee grinder But of course bob got it. He's the coffee guy. They had so much Kirby stuff in here, too There's a splatoon skateboard here. Kind of wish I bought that skateboard. No, there's nowhere All right, what am I going to do skate home? So it is cool to see all of the nintendo switches out on display here As well as all of the joy con colors is really awesome seeing them together And it makes me want to build a monument in my house. Obviously, there's a ton of video games here, too It's mostly the first party games. It's all full price and pretty generic titles I gotta be honest. There is so much cool stuff in this store But there's nothing I really needed other than the link. I noticed tucked behind a corner a Gotcha machine nes and famicom controller pot It's making the mario coin sound when I put them in What'd you get? I got the d-pad. It's just just the d-pad my least wanted thing out of all of it though I guess in a way, they're like fidget toys the buttons all feel exactly like the actual Counterpots, so it's fun just to press them like you're playing a game These were six dollars a pop and I just wanted the buttons and I kept going and going and going No whammies Easily one of the coolest gotcha machines I've seen though this whole floor that the nintendo store is on is great because there's the nintendo store There's a capcom store There's a shonen jump store that was very one piece out because one piece is very popular right now It seems and a pokemon center right now. We're in the pokemon center It is so insanely busy and I am way too tired to actually buy anything and stand in these lines But there's a lot of cool stuff here This one had a giant mutu in his chamber so many plushies of pokemon and partial to him There was even a design your own shirt. I thought that was really unique at this point It's actually been a very long day. We spent forever at the fish market So we decided to explore shibuya a little bit more found this cool charcoal coffee place And we got like a cookies and cream coffee with charcoal and it was actually Surprisingly good, but then we went home and went to bed. So I guess the coffee didn't work Apparently the place next to the hotel we're staying in also does these pancakes and they were just as good the second time I'm in love and I have a new staple breakfast after breakfast We had to a vintage market in shiito kitazawa, which was supposed to have a couple of video game stores And they didn't but I will say we had a ton of fun there after exploring here for a while We want to go to lunch somewhere that I suggested So we're at the rain on the roof cafe Which is the cafe that the persona five kari and coffee cafe is based on in fact This whole area is based on where joker lived So it's a lot of tight alleyways with cool shops and convenience stores And this was something I really wanted to do. So I'm happy I'm here. Hopefully they have a table for six It's essentially in the exact same location as it's a video game counterpart The vibes are the same the location is the same. It's just the inside looks different Everyone really loved the vibe of the place as soon as I sat down It really felt like somewhere that you would invite your friends to to get lunch and coffee and you were just chat for an hour I'm really glad we stayed because the coffee was phenomenal. Everyone loved their food I adored the kari that I had totemo oishi means very tasty It's also what I said to them on the way out I practiced a little bit of japanese and she looked very confused that I was speaking japanese for a second And then looked very happy that I said it was tasty If I can get sentimental for a moment being here with kim and all my friends It was nice to sit somewhere a little off the tourist trap track So it was nice to actually experience something less touristy. This might have been my favorite moment from the trip When we left this place, I walked around the streets for a while I just wanted to see what else kind of looked familiar what I could see I might have been imagining it But it felt like I was walking around the streets in persona 5 in this area I forgot to look for the doctor my bad But everything else just seemed familiar little convenience stores a little plant shop persona 5 is amazing and play it Please pokemon go is something that kim and I get very excited to do when we come to japan Because the scene in america is pretty dead, but we played pokemon go this whole trip You know how I mentioned that we're staying in shinjuku So we can go out into shinjuku at night and just play all of the arcade games because that's a big thing in shinjuku Yeah, we've been jet lagged and tired So we haven't managed to make it out until tonight It is a 10 minute walk to the nearest arcade and we head Straight there. There's a lot of things I think of when I think of japan Clore machines and gacha machines are one of them when I think about claw machines I usually think about a scam because they never actually work and it's so frustrating They just kind of limp wrist don't actually even pick anything up in japan If you put enough money in and you don't get the thing and you're failing You can just submit my send someone which means hey, excuse me Can you give me a hand and people working there will actually move the thing for you and make it easier for you to Finally get it which is so nice. So of course i'm always drawn to dragon quest and here they have squishy slimes These were so easy to get I got two back to back It's so fun. If you get enough stuff too, you can get a shopping bag and carry all your winnings around Yeah, you can tell I'm a dragon quest guy. You know how in my last japan vlogs I got the dragon quest slime controller for switch. This is a mouse. I need this so bad Sadly, it's one of the claw machines where there's a little tab stuck to the box And you've got to try and hook it and drag it over I wasn't really willing to invest time or money into it This whole trip kim and I have been going into arcades trying to find the mario party arcade that we found on our last trip We have a whole video about it on the channel if you want to check it out But it's the most fun arcade machine we've ever played we couldn't find that on this trip But we found a really big dragon quest machine We tried to get a seat and people weren't moving I really wanted to win some of these little dragon quest toys But again, we just couldn't get on the machine shinjuku is easily one of the coolest places It's like time square times 10 There are so many places to eat so many arcades so many things to do and see There's a lady in the window over there and a giant Godzilla up there. This place is so cool So much to see and do like oh, I don't know you can get your 45th brown sugar boba of the trip This one was awesome. We actually went to a lot of arcades this night. I don't have the footage of it I don't know what happened to be fair. It was a lot more of just crane games and gotcha machines I wish I could show you but lives up here. I guess You know what's so random the night before bob says Hey, you know how we went to the rain on the roof persona restaurant today Did you know that the lobby of this hotel is the buffet from persona? I didn't get much footage of it But Kim and I went and had breakfast in the buffet from persona five today. We are headed to Kyoto I had never taken the bullet train before but you hear about it a lot I didn't really know what to expect. I thought it'd be in the shape of an actual bullet and it would go faster than the speed of light It's just a cool looking train that goes pretty fast as much as I love the city of tokyo I love the idea of japan as a whole what i'm excited for is to go on a trip to japan one day and not Go to a massive city and just explore the countryside of japan the rural areas And even though we're going from one big city to another big city on the way I'm gonna get to see so much of countryside japan one other thing i'll add is I was kind of anxious of catching the bullet train. I thought it would go so fast It would freak me out, but it didn't feel fast. It was so relaxing actually that ended up falling asleep halfway through We get to Kyoto we uber to the nintendo hotel The nintendo hotel is the marufukuru hotel. The building itself was the original nintendo Headquarters back when they used to make playing cards. It has been completely renovated by a Famous japanese architect as well as you walk into the building on the left and right side are these big plates One in japanese and one in english for the nintendo headquarters You can also buy little keychain versions of that immediately as we walk in into the hotel There's a little waiting room area. So right now we're in like the lobby area of the hotel It's like a little sitting room, but there's a lot of cool stuff just in here So over here is a lego set the lego set is of the four buildings that we're standing in There are so many cool things happening here right now It's tough to take it all in probably should have done this tour before kim and i lived in the room for a couple of days This is the ceo suite in the nintendo hotel or the marufukuru hotel Which always sounds like i'm swearing at you this was just a big office But it's been renovated into a bedroom suite I like these big double doors here leading into the bedroom a really fancy shower with like three showers in there It's just a nice place to stay So i have to be quiet because it's really early in the morning right here Is the old service elevator where they would send down their stock? It doesn't work anymore, but it looks really cool. This is the electrical outlet for that elevator They've kept it intact and put it behind a glass case including up there They have the old water heater unit behind a glass case. There's a lot of history in this room They also have this whole library dedicated to nintendo. There's so much to look at up here There's a book on nintendo's history with toys. There's also a dilapidated rusted nintendo switch They have pristine consoles up here like a gamecube and an n64 in the best condition i've ever seen as well as a glass Gameboy nintendo's old playing cards rotating between the designs As soon as we walked in this room, I knew what we had to do Can't we do the podcast in here because that's insane for iris? Bob and I have a podcast called the non-tendo podcast and we always knew we were going to do some episodes in our ceo hotel room suite as I saw this library plans changed I knew we had to do the episode in here So there's actually a whole episode up already of us sat in the old nintendo headquarters talking about nintendo And our trip to japan as bob put it and on our podcast It's like we've gone to mica because it really is where it all started when I was born There was an nes in my house and I grew up playing that nes It's what got me into video games nintendo is all I knew for a long time growing up in australia Didn't have any fancy gaming magazines. I didn't have access to the internet when I grew up I wanted a super nintendo. I wanted an n64. I wanted a gamecube I wanted a wee nintendo is all I ever knew when it came to playing video games It's what drove me to the passion of being a gamer and then eventually a youtuber and then having this whole channel and visiting japan It's all been because of what happened in this building all those years ago Also, the actual nintendo headquarters in japan is just down the road from this hotel They didn't move that far all up staying here was a great experience Everybody at the hotel was so nice to us. They were so excited that we were filming everything They wanted to know so much about what we were doing and they were into it They were like, yeah film more which was so unlike what I expected from something that had nintendo in the name I don't know if the people working at the hotel will ever watch this But thank you so much for being so nice. It was a really unique and interesting experience Thank you so much for watching this part of the vlog of me and kim and all my friends in japan I hope you enjoyed everything that I showed you. It's honestly exhausting Filming everything and being out there in the heat dragging a backpack and a camera and all my equipment around to belong everything But it's so worth it to get to share it with all of you so that you can experience it too Also, so I can go back and watch it later. Oh like comment and subscribe Especially if you want to see the next episode. You got to subscribe for that yane Matahasta probably saying that wrong still


It still doesn't feel like January out there knock on wood Hope it stays that way. It's nice. I shouldn't say nice and warm, but it's a trailer to start the day the big city Made the dock. They're putting stuff in the box stuff of epic proportions that only a professional can deliver So I don't know why they sent me So I think this stuff is going into rural Manitoba I'm probably going to put some more stuff on the trailer before I head out I got into the city nice and early today. So what's the time now? Time is Time to get a watch right? 850 5 0 so before 9 o'clock and we're in the city loading already So we shouldn't have a problem spending the morning getting this trailer all filled up And then we can spend the afternoon getting it all unloaded And then we can bring back an empty trailer Park the truck inside and go home for the glorious weekend. Oh, I think they're done. I heard the The thingy go up. Oh, yep. There it is the dock plate heard that go up next I'll hear my trailer rolling door close. You know, leave it open. Oh Whatever I have to go and open it and check on things anyway. I don't care if they leave it open So here I can't go into the building either COVID so I gotta wait for him to come out. Oh, he was just putting the dock plate down Well, they're just getting started now I'm confused. Oh Whatever so I can't go in there. They're doing their thing and they're gonna load me up when they're done They bring the paperwork out and they put it in a box Outside and I watch them walk over to the box put it in the box and close it Then they walk back inside then I can go and get my paperwork from said box I open it get my paperwork close it back up and then go to my truck Contactless pickup. That's how they do it here. Each place is a little different. I wish there was sort of like a uniform Rule that everybody followed But since we are somewhat free still each individual business private business can Sort of make their own rules around the general guidelines of the pandemic So it is kind of confusing every place you go to is different You just got to be patient and Keep your ears open your eyes open listen read the signs and Be as polite and kind as you can There he goes with my paperwork now. I guess they were done. Okay, so now I'll watch from to put it in the box And then I'll go get my paperwork pull out of the dock go check on everything Be off to the next place It's Friday Anyone in the mood for meatballs? I haven't gone to Ikea in so long All I can remember from there is that it's the most confusing store to get out of and meatballs They sell meatballs and cheap furniture. That doesn't come with proper instructions. It's just pictures In my trailer for some more very fine. It's been a little while again since I've been able to get my bean to cup I'm excited I'm on my way into southern Manitoba here filled up the trailer and Winnipeg this morning And we're out to make our deliveries and then go home for the weekend Oh, yeah You excited? What are your weekend plans? Let me know. I Need to know Actually quite a bit of weight in the trailer today I have a handjack in my trailer and I sort of position it in the trailer and where I want it Those skids had to have been like six thousand pounds and Was worse than I had to push them uphill because the truck was slanted backwards in the dog We're on the outside we're loading It's hard to push six thousand pounds up hill on a slippery floor You want but I did it What I did it? Living the dream Actually, I am living my dream. I always wanted to be a truck driver here Headed south down towards the US border But not getting too close to it. We're getting over to Rosen or Manitoba And then come back across towards Steinback So this is a 13 speed truck. I want to see me shift through all the gears. Let's go through all of them Fly down to I'm doing one 60 kilometer an hour 40 mile an hour here now with the locals here Oh, they'll fly down here at 90 100 kilometers an hour maybe faster It's like 60 miles an hour I believe the speed limits on all gravel roads are default at 90 which is about 55 miles an hour. We're sort of we're north of Steinback right now Closer to St. Anne If you get to go down the back roads every day Not as much traffic. The people you find on these roads are usually pretty easy going Country people They just want to be your friend Look at this house on the right little house on the prairie. Wow not one tree around that whole house. I Couldn't do it. I Couldn't do it. I need trees around my house But they at least planted trees around their property already, right? But they're probably you know, I'm never gonna get to see them when they're fully grown It goes with the saying that you plant trees When you know you'll never get to enjoy their shade, you know Planting it for the next generation Large country where the second largest country in the world, right second only to Russia There's so many different regions and places of Canada that are so different Canada or people talking about Canada This is what I think of these Manitoba countryside. It's from right here and west of here is Saskatchewan and Alberta Canadian prairies The bread basket of Canada you might say other people when they think of Canada think of some totally different a lot of people for Some reason think of Toronto when they think of Canada That's the last thing I think of when someone says Canada to me. You know, especially in the US When people ask me if I'm gonna go out from Canada, they're like all around Toronto They live like 30 hours away from Toronto in a completely different world Oh But we have the same flag over us So it's pretty much all we got in common when you think of Canada if you're not from Canada if you think of Canada What comes to mind? What do you think of? Let me know down below So got off work. Oh, I'd love to go home The bridge says she's in there and would like some help I don't know where in there, but she's in there somewhere It's tough grocery shopping on your own especially when you got a lot of groceries to carry to the car I'll go in there See what she's up to give her a hand whoa and try not to fall on the way in Look at how big Chevy over there and spanking new pickup truck And he goes and voids all his warranty by lifting it up It's gotta be what? 10 inches or so 10 12-inch lift Must be doing pretty well for himself if you can afford to do that Or he's just really really hoping that nothing's gonna go wrong and that he won't need his warranty It looks cool either way gotta give him that it does look cool All right guys, so it came Just finishing this vlog up the next day. So it is Saturday came on time This is the new microphone. See and it just sits on a little mount Right there. There's so many wires on this desk That's exactly why I moved the desk back to this room so that all these wires wouldn't be around our main living area There's lots I need it all it's it's all needed like these cords here for my headset This is for my USB ports that I hide back there. This is for my web cam here. This is for the internet connection. This is for The monitor it's all needed. So that's why we have it back here And we have our charging cables over here and here It's a life of cords But it's hidden away in this room now my office slash guest room slash dog room Right guys and my co-editors and the publishers have to impress them with my vlogs. Otherwise they fire me So this thing comes with its own little carrying case. It's a comica professional audio equipment I think it comes from China what I Got all I can afford. Okay, so It's got this fluffy little mic an extra thing about jiggers in there everything you need in there and a little bag of Silica beads I'm supposed to throw away do not eat it says Good thing to put that on there. Otherwise, I would Oh Candy now you buy a camera from China. They always send you a little candy bag, but it says do not eat on it Don't get it. All right, so if I hold the mic here's a directional mic, so it should be picking me up real good Can you hear me now? Can you hear me now? What if I point it? The other way hello testing testing doesn't work if you speak into the rear end Hopefully that will make the audio a little bit better From here on out. I guess we'll see Because if I talk at the same level as I was before without the mic, this is what it sounds like So this is without the mic and I'm just gonna plug it in here real quick and This is what it would sound like With the microphone the microphone would probably be further away probably about like that As long as I have it pointed at me it should Sort of drown out the rest of the truck noise Hopefully not all of it because I like the sound of the truck in there I just want my voice to be dominant over the truck I don't want to have to yell and scream just to be heard all day So this isn't something I would be using Everywhere I go, but mostly just when there's a lot of background noise Maybe outside when it's windy just to get that noise from the wind out of there So there you go a little bit of behind-the-scenes with TJV Excited when I get some new equipment. I don't get new equipment that often anymore. So I pretty much got everything I need I use the GoPro hero 7 black edition we have two of them So if this one goes out on me, I have a spare And I really like the wide angle. I know some people don't like the fisheye lens look But I really like the wide angle sort of shows the room that I'm in more Even though there's really nothing to show off about this room. This is just our storage room slash guest room slash dog room So that's it for today. Thanks for hanging out. We had a lot of fun trucking It's time to enjoy the weekend now. Let me know what your weekend plans are down below Don't forget subscribe to this channel on YouTube. We make new videos pretty much every day and there will be a new video tomorrow What do we got planned for this weekend? I hear I Hear and I know That the overlords are easing restrictions on us this weekend and we are allowed to visit with people now Is this foreshadowing or not? You won't know unless if you watch tomorrow's video, okay? But there is a tiny little dog a little fluff ball that we really want to go spend some time with and see And we may just have to go and Check that out. You won't know until tomorrow though. So we'll see you then take care


Niko ndani kama, kama chahina maziwa, deli mina guest from vol, kanoni ma take, vaku wanga nima ron, aah, tuko tuko wai in the morning, ma fans wana ni watch home, good morning, aah, ovedi mame sika hapa, vokeno frona chiki minna shatu zima kapa, hi bitch ovedi nisha imada, na monste sata jesk uta enda ku ibari, aah, nulebo na mishtari, wacha ni comes faster, shake it, jam, okey, bilalada chiki juni na panda, niko wada na speni mafollow, neza ni halabu na maziwa, nika wada na speni mafollow, nika wada na speni mafollow, nika wada na speni mafollow, nika wada na speni mafollow, n nika ovedi nisha imada, na mil One and 60 in the building, come a furniture Me need to check in hour of a lecture And the pressure come a try in a puncher One and 60 in the place I need to damage nipepe no more pages I need to prove kwawa, so I'll raise the kwawa, come a furniture I need to make ngazi kwa brawa, naminia wasis One and 60 in the building, come a furniture No speaker saying no to the fitter, giving mic to splater Still the leader follow me, just twitter Do my first on book, but still on twitter Rap sika don pa marijona, wuki jana This fella bull rappers like goza A life swater, come a homer Check it, check it, check it, ya jam Masas next, check it, give me nina later One and 60 in the building It doesn't get better than this You can only find this on hip-hop Thursdays On why and the morning, the only breakfast show That brings you hip-hop, live and direct From the Y-to-Y-4 studio He goes by the name Volcano Representing 1960 Naskia Kapitolia, hip-hop in metoka Dandora Kenda Kayole, he had to tell us Kerebusana Thanks manzi Aya, your camera is number four Ya ya ya Oni nani amiko aki speed bars in kwawe, buhambia? Oni bui flani manzi Oni kwawe nidrima kwa msi since we back Aka aka kwa hard Aka perfect art Size in the way upa Ana ito Volcano, aka Mr. 960 Aka the bars, aka Volcabulari Aka aka Volcabulari Aka aka Volcano Volcano nili kwa kwa? Aksuuli Volcano nili jina limpatan kwa chu Nini kwa nadu jog So kuna idetu kwa talent show Laf kunu model kwa fano angusana Sunda limpati jina Nili chu gana Nili suma case of Case of Charlotte case of high school Case of high Charlotte case of high May produce talent sana Mi have Volcano in the building We have Volcano, we have Guardian Angel Guardian Angel kwa kwa wichu?  Tukat na rapa na sana Sivile Sivile, kiasi aksuuli Nijetu kwa sana hipa moja Nijetu kwa tukat na tendaana Nijetu kwa sana hipa moja So Guardian Angel na metek patiakia danso O metek patiakwa ya hipa So naskiya capitalia hipa bimetuka Dandora, kujakia kaiole Emanje seiko na rangim Actual the best rap in Africa Nutuka kaiole Emane medangani Wow, that is how it is Imi kusimani Why in the morning family kusimani So we make a Y-25 channel on Twitter Y-25 channel on Instagram And Y-25 on Facebook Tell us the best rapper from Africa Nutuka kaiole Aula, Sime Namjua Sila Zimutseve So kano There is this song of yours Imi Kukibaz sana Zimetushika Zimetushika Actually, kuna confusion kiasi Kuna Zimetushika ya Asfuri zero na kuna Zimetushika ya Volcano Pemi na dupo Piakuna dupo Pemi na rindu Bedi ya yo ni co-incide in piya Tu metoka hud moja Ide ya nga mou mani moja Uksketa chorus manze Ni the same thin Sum na shatu the glory Jozyu shikakilam se Yzyu shikakilam se Sinu aswa hud Na dupo hud manze Oba na karma Laji wa zizi shikakil meja Laji wak 뜨ja man Konsekata uksikata He in new generation of music Niku shika si kushika Ni maharasu juini. Sensa hi zi vitu zi juini zi semihaji? Una jua, actual ni ni dune mi... Kasi vitu zi na Lamboa, vitu zi na Shiko? Okay ni dune mi change pay, una jua. Okay mi suzi rapa about slavery na Sikoyo era. Kanu buddango nge rapa ma grandfather hangu, ina make sense. Like hi zi vitu zi dune mi... Isi nimi na experience? I zi vitu zi na happen says in life. Sasi kama artist kazi etu ni ku reflect society. Kiyo cha jami? Kiyo cha jami. So sit nimi vitu zi na happen. Vitu zi na happen? Siya zianda kuimba about this slavery na... Umei zi sana la slavery. Udo wem chosya. Udo wem kusimba la slavery sana. Kwa zi sasi juikitwa hi oso una imba vitu zi na existen society. All right. So volkanu ki uli zwa, volkanu ni nani. Apart from kushika zi wa shike u represent kiyo li u represent tawu spit. Volkanu ni nani, like that wu kano that your mama knows. Volkanu, okay. Railnamsa ni to David. Nimi mhambol, boi na wakad na piwa na do business. Right. Boi mhambol, boi na wakad na do business. Na do business ma. Vitu tatu, vitu tatu. Hadwak, biz, na humiliti. Taka ni sa hip-hop, hip-hop, humiliti uta survival koili. Ya, naji, okay na juna. Okay na, according to me, hip-hop ii na kongan ka karakta. Eba jukun ele imejiya tv, na kun ele personality up at the end of the day. Eksa, boi na just is pelkiyama, dango yu gangster. Taka ni piwa makofi manze. So yo yu militi lazima. Ya. So lazima, lazima. Right, so if you're watching right now and you're from Dandara. Kapitoli mihama, kapitoli hip-hop mii toka. Dandara. Sayenika yo, Anzi. Tell us ko, White 5 4 channel on Twitter, White 5 4, underscore channel on Instagram and White 5 4 on Facebook na. Apkawna fil kun na msiwa Dandara. Ako abootiku kill the game. Tell us via, tum let your 5v2 ne. The battle of the titans. Kayo le na Dandara. Dandara mazi. Kayo le na Dandara do contenders wa hip-hop. Sayi, sayi. All right, so I'd like to sample some feedback from the people before we talked to Volcano or Lovergain, but Volcano maybe un neza pangabaz kiasi kuakili. I'm a ziu come to. A ziu come to. Ziu come to. Auna presya. All right, special thanks to those people who keep their feedback coming our way. We love you so much. So lewnta sample Facebook ntanzana Facebook kiasi. I see Vincent Shiambesa. Anasama watching from Liranda kaka mega county. Shara tiyu. By the way, umesama place un atu uchia. No, na tupenda, na tupenda piya. So keep them coming.  Na tu jua place to me fika. So Silver King anasama locked in from Kiambu. Play me brand new by Rich Homikwan. Yuna aizua Raj. The brand new by Rich Homikwan. The last time nili sker Rich Homikwan nili kwa na feel some type of way. So I don't know about Rich Homikwan na check, but we'll find it for you kasi lew. Next week for sure. George Walker anasama watching from Nanyuki. Shara tiyu Nanyuki. Alex Akitella anasama. Hisho is on fire. Locked from Mombasa. Play until the end of time by Tupa. Ah, aposuna nizwa personally. I'll have to make Raj's play that for you. All right, Sami Ted anasama. Play for me monster by 21 Savage. Bless up. George Walker anasama. Good morning, hip hop fam. Enjoy your Thursday all. DJ Ussisao kuni cheze angoma. Yo yote a zero. Ah, we were just talking about zero. So we'll find a way to slot in something. Kasi zero. Kayole still represented apa evisom skuena. David Bertan anasama. DJ Cheza Babylon. By Octo Pizo. Hashtag kwa in the morning omongazadi. Hashtag. Love for you man. Rikon tunshi anasaman kolokt. Play for me now you know. By Seda. And Lastie. And Chemikale. And Bryant. I think we play that before. So you assorted David Bertan anasama. Washing from LD show Ikoju. Play for me Rockstar by Post Malone and 21 Savage. I love that as well. Tavidileo to Buli Raji's kiasi. All right. So Eli Rob anasama. Straight out of Kitale. Chilling with guys. Is Wani Lilian and KIP show Ikon top. DJ Raji's nicheze Kababaya. Kababaya is a big tune ya. Vincent Bael anasama hi. I Vini from Machakus nicheze Song Moja Chris Brown. Okay. Kamani Chris Brown at Tiger. From Fun of a Find The Album. We'll show us some for that. Kus I think you need help. Kamani wengene Tavidungoze Tuesday. All right. Mwalimo Ignitius Simba atum anasama with my sweetheart, Madame Zipi Mokera from Kirinaga. Mwaya tukondani. Shara tukitale, Shara to LD, Shara to Mombasta, Shara to Kailole, Shara to Dandora. Wasawata wa TTV. Keep your feedback coming. We'll be sampling more in a few. But right about now we are back to take it back to Vokano. So Vokano before Zimeshika. Ya. There's this other video. Is no freestyle フリストイイル plan you know, that goes viral of sana. Ya ya. It's two months ago. It's a cake freestyle. Ya. And I'm really happy to be there. I also appreciate, not to a god. Alright. So industry has changed sana. So we're doing a video. When the studio record the warmer. When the video producer baya. Record video. Kali do wufike. But I know now. Shiltum tani Kutvewa seika freestyle Umukio design So the power is in our hands Pawe kumikonozeitu but Piyal asma wukuna talent Konezii seituzao na talent Saba asu most of these guys wanna go viral Yes, see hate but after that one endangu happy So kitiamu imu lasumu wukuna talent After your talent, vitu sako afiti So talent number one Sia kumikonozeitu asu yukuna do Sia kumikonozeitu asu yukuna do Chupu ayu foniako Kukuna talent wukuna Uta utaku jiyo Sava kabi asu wukuna Social media utak pata na mnagain On Facebook, the damage On Instagram, Volcano underscore Volhoff On Twitter na pata na Volcano And on IG What's up, what's up Kama niya manager Kora ma nini ma yengt So asik shubu eza Aja kwa patenda na next time So they can find you on social media Mziki ziko kwa streaming platforms Mziki zikizangu naza download On dundo, on boom play Na piyan kwa Spotify Tapa tu Volcano Volcano music uta i pata Volcano evo tu Ospil na kwa nama Not the other Volcano V-O-L-K-H-N-O Safika bisa, you had it straight from the horse's mouth Representing Kayole Representing hip-hop The hip-hop city Kwa so Dandara Kama na taku irodisha na Nora Haters up, later representatives Whenu kwa wai in the morning On hip-hop Thursday to do a kama E crown niya Kayole So Mr. Volcano Are you going to drop a few bars for us again? DJ Raj is laying up something for Volcano As we sample some more feedback In your same mkwa pohasa na lmnazi Tuma kutuma So Shoeiko on fire says Aizoh Delevi Shoeiko on fire says Jobson Ulewa umo Umo iko locked fear, you don't have to say where you're watching us from If your name has the hood in it To kondani kabisa Vincent Bail Bada na sema from Machakos play for me The song A song of Chris Brown Alright Chris Brown imi iti shoa sana Locked nekiwa umoja Three please play for me Working me by Kwevo Nice one in a kuja yowe Watching from Thika na sema Locked mbaia sana play for me Onliad by Octo Pizo I'm not really sure if my producer is going to agree Domkush achanimalize Too easy Bana dungo Lait niche zengoma ya nasti si Na davido Kule sked in Africa I love that one as well Vashu tkondani niche zengoma ya Octo Pizo Latest Domkush Donkush tan Tuned from Mba although ndi o na toka kusha haso I wish everyone who is turned up Super cool de DJ Nitsupian koma ya nasti si The new one So nasti si has a brand new one as well Kama tocha itchaza lao But thank you very much Umsa nenda haso Domkush We appreciate you as well Thank you very much for sending your feedback Thank you very much for watching Thank you very much for keeping it locked On Y254 Thank you very much for sending your feedback That one is the most important Thank you very much for vibing with DJ Rajiz So DJ Rajiz as we wrap up Kabluchezio bit Pali Instagram Facebook, Twitter, at Rajiz the DJ Isha my mixes Any platform ya mixes ya imu na Dmyo, Miss Cloud, Hulk, Shiaizu zote At Rajiz the DJ So woka no shimskiya? Zila, lakini leo na mimskiya Mimskiya Atakafu nimskiya recorded audio Mimskiya, he live in kala Na takaflu na bitflaniya We prepare something for ya Do you agree that hip-hop city mihama From Dandara to Kaira? Leo ni kamehama What's your Dandara? You have to come represent for your crowd Hit us up on Y254 channel on Twitter Y254 underscore channel on Instagram Y254 on Facebook I go by the name of Biomosters It's Biomow on every social media platform Shara to Michala, Shara to everybody who made this possible DJ Rajiz take it away Volcano is about to perform Supported by DJ Rajiz On a social Friday Very special edition Represent for your hood tomorrow On social Friday Volcano take it away Good vibes himself Rajiz the DJ Mamboombaya Misteri Jo ni Mink Na Shaka Shrinj Na Sakamangondo Niki Zepata Mube Na Kiyondo Na Ijya Na Sakamaneira Dodo Finance Dem Fiti Fine Ass Femexense Mi na Mekdo Izimi Zanindo Wakana Kinda Mi na Mamita Kutaka Kinde Inso E Mifika Fikechiksha Mi na Tema Tema Kama Kibibi Juflo Ina Wakawakawakilishikama Elevator Flamabalisha Volcano Mifika Hawingeni Badai Sikoka Lesu Nukokondai Mi na Tema Chekimi Naji Dai Naji Denganoma Sananani Hibiti Nia Basta Chekimi Nabasti Maramu Moni Indo


Listen, the locker room is where the chemistry takes place. Like there's a lot of, there's a lot of great things that happen on the practice field and obviously in the game and outside the facilities, fun and dinners and different things. But the locker room is, that's the core of that connection, right? That's where the inside jokes happen.  And you got dudes, you know, freestyle rapping in one corner. You got guys playing spades in the other corner. You got me and Dave scheming prank plots in the other corner.  So there's a lot, you know, there's a lot of stuff going on in that locker room. I'm not talking about any gold plates. That's where the, you know, that's where the connections happen.