What do you think the answer is? How many? Six? Six hundred? Ten million? How many thousand? One thousand? Five thousand? It's funny how we don't know the answer to stuff like this. Forty one thousand eight hundred and thirty five and an ash bit and a loan there are six hundred. Which region has the highest rate of twenty to twenty four year olds? So that group of people that you really hope are starting to get on with their lives and making decisions about what they want to do that aren't doing anything in education, employment or training. What region has the highest rate do you think that is? East Coast? Northland? Auckland? And what percentage do you think it would be for the region with the highest rate? Like we're talking ten percent, fifty percent? Thirty percent? Sixty percent? So twenty eight point three, so almost not quite a third of those in their age group in that region aren't really doing anything and in Canterbury the answer is about ten point three percent. I was going to say this is the last one but I'll probably ask you more just because I like it. So this is my favourite data point and if you follow me on Twitter don't yell out the answer because it's really fascinating what some people first guess at. So there's currently about four point six million New Zealanders and of course there are caveats with data collection and definition here but bear with me the magnitude is about right. How many do you think there have ever been? So the data set goes back to about 1855 if you were to add up all of the people that have ever kind of felt like they are New Zealanders. How many do you think there have ever been? Twenty five million? Eight? Seven? Ten. Ten? So only when you ask teenagers this question they say things like ah probably like three hundred billion and it's really really fascinating actually and even some adults have said things like two hundred million and just it's so fascinating that we just have no idea. For someone got it right about seven million and I personally guessed between kind of twenty and thirty million so this is a surprise to me and then as soon as you think about it it's like well of course. Because we only got to a million what like 1940s, 1950s or something and most people were born since then are still alive. But the most extraordinary thing for this from my perspective is it means that two thirds of New Zealanders are alive today. And like that seems really important to remember and to reflect on in terms of when we think about how responsible we are for kind of shaping our future and the values of our country it's still in our hands. So Kia ora koutou, kula li and greys, toku ingwa. I run figure NZ and we are working to create a data democracy and to get everyone able to use numbers in their thinking. So I'm going to give you a bit of a background about like the why and the bigger kind of co-pup around why we exist and before getting into what we're doing and then where I see it going and how I think it can be useful. So I've been around the tech sector probably for I don't know maybe only ten years or so. I actually started my career as a high school phys ed teacher and but since then I've been doing a bunch of things and I used to work at a company called massive software artificial intelligence kind of stuff for visual effects and movies. And in the last 10 years like it's been really interesting to see how much is changing in terms of technology and also how we're usually only looking at the thing that's right in front of our faces. So if it's new devices or new software and new apps and things, most of the population just are seeing what's kind of looming at us in the immediate future. But when you kind of pop your head up on the time horizon and think what is actually changing, like what's actually changing in terms of what's what are the real shifts in the way that society can run that technology is leading to. And I think there's two or there's two big things that surface for me. So until about 10 years ago until the use of the internet was was more widespread for all of time. It's been hard to share information widely and it's been hard to communicate to lots of people in multiple directions. And for the first time ever, those two things are now easy. And when you think of most of the apps that we have, most of the devices and everything, that's basically what they're enabling. They're enabling us to share information widely and enabling us to communicate to lots of people in multiple directions. And so when you think about what the world was like before this was possible, so in all of our living memory, when only a few people, when it only made sense for a few people to get information, the best future was created by having a few great leaders. And that makes sense, right? Like it's really hard to share all the information. Then you kind of need to have a place to send it to and smart people to digest it and to think about what should be done and then kind of mobilise with actions and policies and whatnot. So whether that's about the way that companies were run or the way that countries were run, that's the model that we've been using for a long time, not in all not in all cultures, but in ours for a while. And now it can be done differently. So for the first time, we can look at how we can make decisions in different ways, how we can restructure, how we govern ourselves, who we listen to, who is responsible for sharing information, who has the rights to access information. And it kind of just changes everything about what we can do as a society. But when you really think about it, we are only just at the very, very start of this. It's only been kind of 10 years that this has even been a possibility. And so much of the systems and things that we are still working with were created before this time was even dreamed of. And the reason I think it's important to remember that we're at the start of it is because so many people that have their hands on levers to change things are scared to change because it means admitting that they've been doing something wrong before. Whereas I consider it like we've just never been able to do this stuff before. We've never been able to share before. We've never been able to look at making decisions in a more kind of community basis in this kind of way. And so it's just exciting. But we need to think a big part of what we do with Figure NZ is try and create spaces where people actually feel safe through this transition, rather than like they're going to be found out for having done it wrong until now. And so when I talk about data and there's lots of different definitions of data in ways to think about it. So I consider what we think about kind of big data is what is enabling kind of automated decision making and telling you what bus to get on, etc. When it comes to Figure NZ when I'm talking about data, I'm talking about the kind of numbers like in the earlier quiz questions, the numbers that help humans make decisions or help humans see the world around them. And often I use the word numbers or figures because if you go around the country and you start talking about data to people, most people say, ah, isn't that what you buy to top up your phone with? And it literally happened again last week. I was in the car with a friend and she had her three kids in the back between kind of nine and 14 and she was trying to describe what I did. And when she said I'd like have a distance stuff with data and they're like, oh cool, is that like the Wi-Fi? And you're like, yeah, so interesting how the language we use immediately cuts out people from understanding what we're talking about even though they're very capable of understanding the concepts themselves. If you imagine what society was like when not everyone could read. So people like society used to believe that not everyone was capable of reading, that there was just a small portion of the population that was involved in that knowledge sharing of information and it was quite contained and not everyone was able to participate. And we don't accept that model now, right? We say absolutely everyone can learn to read and we completely achieve that standard. Everyone learns to read in our society and if someone says, ah, I'm not very good at reading, you say you can learn. You don't say, ah, that's not for you. And we do that by, you set the standard and say everyone can learn to read and then you build the way that you teach it and the way that you serve the information up and the way that you take people on the process of reading until everyone can do it. But we haven't made that transition with the use of numbers in our thinking yet. We still say it's for experts and analysts and intermediaries to give us all the insights from numbers and something like this kind of situation where there's an analyst up the front telling a group of people what the insights are from data is something that is quite typical in terms of what we get used to seeing. And if someone says, ah, I'm not very good at numbers, we say, ah, that's all right, it's just for the geeks in the corner. And we don't have yet that state where we believe everyone is capable of using numbers in their thinking. So figure NZ, we're the first organisation globally to actually to assert everyone is capable of using numbers in their thinking and to try and achieve that standard.  So the numbers, you know, like of how many, how many Labradors there are, people, everyone is capable of understanding what that means. If I say to you how many mushroom farms are in New Zealand, how many do you think there are? Not enough. Any idea of the number? 20, pretty close, 15. So everyone is capable of understanding what that means. And so there's two things with that. When we learn to read and write, we don't expect that everyone's going to be able to read and write a PhD but everyone being able to participate makes the whole kind of system work better together. It almost makes those that are reading and writing PhDs more valuable because they have a place within the whole of society that everyone can kind of understand a little bit more. And in the same way when it comes to using numbers and data, if everyone is capable of using numbers, it doesn't suddenly mean that analysts, et cetera, aren't valuable. It almost makes them more valuable because it means that people then understand the value of the space that they're operating in. And it was interesting, I was talking to a primary teacher the other day and she said that young children actually find it easier to learn, to think using numbers than to learn the English language when they're first starting out. You know, you think of counting oranges and stuff. But it's just that really quickly we tie the use of numbers into mathematics and it suddenly becomes too hard for some people because it's a different way of thinking. But so we kind of talk about numbers as a language that's holding a lot of our stories and it's a language that very few people are literate in. But it holds stories about our people and our environment and our economy and our businesses and yet very few people are actually able to get their hands on it and understand it. And so when you think about, so why don't we use numbers in our thinking? Why is it something that very few are actually using today in terms of understanding the world around us? And so when I started Figure NZ, and I'll talk more about what we actually do and what it is in a moment, but I had quite a weird kind of curly background and I didn't know anything about even what data was or what open data was, etc. And I started working at the New Zealand Institute, which is a think tank and we were looking at social economic and environmental research about what can really shift the dial for New Zealand. And when I started there, I had no idea about how to be a researcher and analyst and I had never used data in my thinking at all. And I remember opening up the stats NZ database for the first time and the OECD database and I was like, what is this?  And I was kind of gobsmacked about how much was just sitting there, just like incredible resources that I had actually really never heard of or never used. And interestingly, because of coming into that space with no experience or background, that's what almost made me realise how rich it was and how not well used it is, compared to if I'd, like I talked to others who were friends about it and they said, oh, but I can always access data that I want because they grew up, they just thought it was normal that people knew that those things existed. So none of my family probably still know that places like the OECD database or statistics New Zealand, et cetera, exist. And so if you don't know it, you can't find it. And so it was just gobsmacking to me to realise how much is there and has been collected for decades. And so when we were at, when I was at the New Zealand Institute, we would always start by looking at a topic and understanding the metrics around it. So say we were looking at internationalising tech companies or youth disadvantage. We would always say, what are the numbers? What are the metrics? How do we get our first kind of series of questions? And we would look at, so what should the metrics be that we look at? How is New Zealand currently performing? How has that changed over time? How does that compare to other countries? And then we'd say, what countries used to perform poorly that now perform well? And then we would go and look at the literature and or just the activity that had been occurring and say, is that something that's happening in that country that could be relevant to New Zealand? Is that some kind of stuff that could help us move where we are? And so we'd always start framing up using numbers, which was really new to me. And then we would go out when we had some kind of ideas. We would go out and share a lot of these really simple graphs, simple like line charts, column charts, things that didn't move. And we'd go to lots of different communities and take them through our thinking. And it was amazing seeing the reactions that people had to seeing some of these numbers for the first time. And time and time again, it was just surprise, was the first reaction. People had just literally never seen some of these stories. And I still remember there as I was up in Whangarei and I was talking to a group of people who worked directly with youth. And I put up a chart that shows that New Zealand has the highest rate of reported youth suicide out of all advanced economies. And they were just flawed. And one of the women there said, that graph is literally going to make me work harder at my job because I had no idea that was the situation that we were dealing with. And having lots of those kind of experiences, I was like, this is so interesting because it's not like I used to think people were complacent about getting to know Aotearoa and caring about its future and wanting to be involved. And I've been 100% proven wrong in the last six or so years. Haven't met any person that doesn't care about our future and that doesn't wish that they could be a bit more effective in terms of helping it. But hardly anyone has any idea about how to be effective and where to be effective. And so this made me to thinking, so if there's lots of data there, that's really great resources that people have been spending a lot of time and effort on for decades. And there's people that actually want to use numbers in their thinking. Where's the gap? Like what's going on? And just saw that there's such a difference between when something is technically available and when something is actually truly usable from a real user-centred kind of approach. And so I started kind of like backing in to understand a bit more about the data space because I started knowing literally nothing at all. And so I kind of got to know a few government agencies and went and sat next to people and that were, you know, someone that owns like the cancer data set in New Zealand, et cetera. And I was like, why is everything so fragmented? Because we have literally tens of thousands of data sets spread over literally hundreds of websites and all of them are in different formats and adhere to different standards. And so once I kind of really thought about this because I also realised that most of the people that are working with the data care heaps about it and they really want people to know about it because it's literally the area that they care about most often and it's the area that they're working in. And then you think about the history. So you think about one of the earliest slides about, you know, 10 years ago, we weren't able to share information widely and you think about what that means for our data sets. And most of New Zealand's data was, or not most, a lot of New Zealand's data has been collected as a by-product of a service.  And so a lot of our data sets were established before the internet existed. And so they were also set up before anyone imagined ever having to share them. And so there was, of course, no drive to get together and say, so what standard should we be using or how should we be doing this? It was literally just not thought about. And so you fast forward, suddenly the internet is there and people with information are now expected to and made responsible for opening it and sharing it, which is awesome. But it's also terrifying for those that have been collecting the data sets because they didn't set them up to be shared.  And so it's really interesting understanding that whole landscape and the motivations and the amount of fear that is around making some of our data available. And so now the first steps when people do make their data open is usually to put it on their website. And so that's all good, well-motivated steps to make. But when you think of it from a user's perspective, what we have as New Zealand's data is organised by source. You have to know who collected something. You have to know the name of the data set before you can find the content. And when you understand the history of it, it makes perfect sense. But when you imagine it from the perspective of a user, it's as silly as having a dictionary that's ordered by the country of origin of the words within it, where you open it up and you're like, too hard. I'm not even going to bother.  It's not because everyone just wants to keep people away from it. It's just that we've been evolving. We've never been able to do this before. And when you think about that, when you think about the fact that, you know, even within one government agency, there might be four different definitions for family because people have been collecting data and establishing these definitions separately. When you think about everyone collecting data and having them on their websites, there are some other interesting kind of statements that can be made. So, for example, New Zealand's data isn't archived. It's not, right? Because we don't even know what we've got. We can't even, like, we don't even find it. We don't know where the gaps are. We don't know where the duplicated effort is. So we don't have our arms around what we even have, let alone able to then archive it and make sure it's always protected in the future. And it makes sense, but when you say statements like that, it's like, oh, probably should be. And so when people try and use data now, this is what they usually look like, right? You, as someone, like, we get asked all the time for help finding data. And it's like, people know what they want and they just literally have no idea how to get it. And it's just simply too hard. I'm just gonna get some water while you read these questions. Is that one used? Oh, yep, it's used. That first one is interesting, eh? So in the 1950s, New Zealand had about 129,000 hectares of sand dunes. What do you think the number is now? Maybe just think on your inside voice then, if you don't want to yell it out. Right? So so many of our stories are held within these data sets. And when you use the word stories or when you use numbers in this form, it's relevant for most people, compared to if you show someone an Excel spreadsheet. Like most people in our country, like not always these specific three questions, but we'll find this interesting in some way. And if you think about how data can be used and who can use it and the different applications of if all of our stories were easy for people to find and use, what does that even mean? And one of my favorite examples is the tow truck driver in Hawkes Bay, so which is actually my brother. So we did a bunch of research going out to ask people like, what data do you use? How do you think about it? Where do you get your data from? What would make it easier to access? And I think 29 out of 30 businesses that we spoke to, we're just like, what are you talking about? Definitely don't use data, I don't think this is for me. I'm like, well, it's good at least to know where our starting position is. And but I talked to my brother and who's been running a tying and transport business for about 10 years. And I said a few things, I was like, but would you like to know how many accidents occur in Hawkes Bay and where they occur and what time of year they occur? And he was just like, flawed. He's like, what is that like a thing? Like, is that, can I know it now? And I was like, ah, so I was like, okay, so that's data, right? And it was in every single interview, it became apparent that when we, so when those of us who knew what data could exist that would be relevant. When we were able to play it back to them in their words, every single person was excited by it. And then I said to him, is there something that took you a few years to learn that if you had seen a graph on day one, you would have been able to operate differently? And he said that it took about three years for him to realize the seasonal effect on his business.   And so you're kind of scrambling and you do that a few times and next minute you realize, oh, this happens every March. Okay, this is a seasonal thing. And so the implication of that is if you knew that, then you would, I never take a holiday in the busy season, but you would also then get contractors rather than employees or things like that you might hire in another truck rather than buying one.  And lots of other examples. There are lots of philanthropic foundations who might care heaps about certain issues, so youth that aren't doing much. And if you don't know what region that's occurring in and are there 50 of them or are there 5,000 of them, you can't really target what activity you're doing. And so the numbers I always consider like graphs and numbers and data, that they almost never have the answers in it. What they actually do is they let you know, they help you find what question to ask next and who to ask the question of. And there's applications for that everywhere. And so despite this, despite the numbers, how many stories are held within our data sets and despite how useful they can be to pretty much everyone, most people don't use data and most of our data isn't used. So figure NZ, our mission is to help everyone make sense of data so that they can see New Zealand clearly in a way that inspires them forward and encourages them to do something about it. And so we're a charity. And the reason we're a charity is because if you think of something like Wikipedia, it just wouldn't work. In my view, if it was a commercial entity or if it was a government entity, it has to be a place that people that have content feel safe with how it's going to be treated and a place where people that use it trust the motives of what people are doing. So that our co-papper is front and central for us every single day of is this going to help people use numbers and their thinking so that they can understand the world around them better. And it's interesting because there's, I mean, when I say that we're the first organisation in the world to do this, like definitely there are many awesome things happening with data around the globe and lots of cool stuff in New Zealand. But the difference is the assertion that everyone can use numbers. And when you're thinking, when you're building a system that when you're constantly saying, how would a seven-year-old find this? How would a seven-year-old interpret this? How would my mum use this? That's really different from starting with, you know, how do we get data out for experts so that they can do modelling and analysis and stuff, which is also really important, but just fundamentally different way of thinking. And we have two main functions. It was interesting, it was earlier this year, that I realised I spend most of my time talking about where we want to go and I don't always talk about the actual what we actually do. So we do two main things. So we take New Zealand's kind of disparate data and we standardise it and turn it into machine-readable form and then we make it easy and compelling for people to find the news. And so this is kind of how the system works. So probably many of you know most of our data sets are held in things like Excel spreadsheets and PDFs and CSV files. Our Excel spreadsheets might have meaning attributed to merge cells or to bold, et cetera. There might be a really important note down in cell A362 that says, by the way, all these values are per 100,000. And so they're all different. And so we've built a platform that allows us to extract all of these, all of this data, all of these values, and to standardise it. And by standardise, I mean it could be as simple as one data set says March quarter 2010 and another has Q1 2010 and we kind of align that and strong type it so that the system understands that it's the same thing. So when you're a user, you don't have to keep reinterpreting that. And when we extract it, we also, we're building a whole set of relationships between the data itself. So for example, Waupokaro is a small town in Central Hawkes Bay, which is in Hawkes Bay, which is in the North Island, which is in New Zealand. And typically, when you look at a data set, say, in an Excel spreadsheet or in like a bespoke kind of database, there's no real relationship or understanding in the system of where a point for Waupokaro sits within the other geographical kind of areas. And so we're building those models up so that from a user perspective, if you search for data and you say Waupokaro and there's none there, then it will show you Central Hawkes Bay or it will then show you kind of, you can go up and down through that. And we have other relationship models that are to do with industries, et cetera, just so that the world of data and being able to navigate through it becomes easier for people to use their own language in. And so from there, we turn it into machine readable form and then we make it available in three different ways. So we care heaps about low sophisticated users, but we also totally want to enable high sophisticated users at the same time. And so when we publish in three different ways, we publish into simple visual form. So we've got about 30,000 graphs and maps on just free for anyone to take a news on figure.nz. We have CSV files of the standardized kind of content that anyone can take a news and do whatever they like with. And we have a public API that we're redesigning at the moment. And that's because we don't care about people using our website. That's not our purpose. We care about people using numbers and their thinking. So if someone wants to take from our API everything we've ever done, including the relationship models and things, then that's awesome, that success for us if they're going to take it and use it. And then we care about it actually getting used. And so just having people take the content from the site in various forms also isn't sufficient. And so we work hard to find existing channels where we can make our content kind of turn up. So for example, we recently partnered with the spin-off where so now every Monday we do like, Charter for the week and every Friday we do a little quiz of the week that I think about a thousand people take at the moment. And working with, say, Business New Zealand, they've got 72 different industry body groups that kind of sit under their umbrella. So we're going, right, what content can we be sharing through your channels so that people are able to access it, relevant stuff in their environments rather than having to go somewhere else. And in terms of how we make money, because everything is free for everyone to use, we believe that charging for, like that data shouldn't be the currency, it's what comes next, that's the added value. And so instead we charge those that have data to make their data usable. So for example, we have customers like the Treasury or Department of Internal Affairs or Department of Prime Minister and Cabinet. Recently the Defense Force, and so they pay us to take their data sets as they currently are without having to do anything and to turn them into usable form. And from their perspective, what that means is they don't have to build and invest in a system, they don't have to become data usability experts. And they also know that their data is more likely to be in front of more people because most people don't know to go to their website. But then it means that when we start doing things, so one of the things I'm personally, I get quite excited about the quiz kind of side of things. And we are likely going to be able to start running quizzes on trains in Auckland.  And when you're sitting there from a government agency perspective, it's like, well, there's very little likelihood that anyone's going to be able to spend the time to build that whole channel out. And so we do that once and suddenly everyone that's published with us can take advantage of those channels. And just quickly about what it actually looks like and this, like there's definitely things to improve here. But it's kind of like a Pinterest style where you can search using your own words for graphs and for thumbnails. You can save them to boards like Pinterest. And you can just do a little check. And when you click on one of the thumbnails, you see the graph in detail. And it's so interesting because my team and I, like we love tech and we love pushing the boundaries of what can be done. But all of the way that we display data at the moment is very simple and it's static and it doesn't move and sometimes it makes us cringe for that because we know what's possible. But when you go out and about and you show people data, it's when it doesn't move that it suddenly becomes a little bit safer. It's when you don't have to manipulate variables before you see something that people feel comfortable engaging. And so we're starting in a way that includes everyone. And you can save the graph, you can download the graph or the data set behind it and share it and things. And really importantly is all the metadata that flows through the system with every single piece of content. And I didn't actually used to understand the value of metadata at all. And I just, I really didn't. Sorry. And just in the last few years, like it's just so in your face now for myself and for my whole team about how just totally critical it is. And what's been interesting is because we work in a central way of using lots of different data sets. We get to see all the different ways that people have added or not added metadata. And there'll be data sets that we take that have acronyms that there's literally just no definition for anywhere. And so we will engage with the people because we're not usually experts on the data, we're experts on how to make it usable. And so we'll engage back with the people that collected it and say, what's this mean? And they're like, oh, it just means that. How do you not know that? And it's amazing how in our bubbles we get. And then so we know that at the moment to use our site, you still have to know what to search for. And that's also a little bit too harsh for lots of people because people aren't used to using data, they don't even know what exists. And so we've started down the path of so what other user experiences do we need to make so it becomes even simpler. And the first cab off the rink for this is business figures, which is a different user experience which we'll wrap back into the site properly. But when we did the interviews with businesses, we realized actually the only things that businesses know to do with data is they know what they do and they know where they are. And so we built this as a way of, we partnered with Statistics New Zealand and with ASB to do this. And so businesses can or anyone can just say what they do. And I think there's about 15,000 kind of selections for that and where they are right down to quite a small area. And immediately all of the content starts to get filtered through those things and then you can dive into, I just wanna know about my industry. I want to know about people in my employment kind of catchment area. And it's totally limited by how much data we've processed. So if we haven't processed data, it's not gonna show up and some industries work better than others. But one of the things that we're doing is to build some manual connections between data sets. So for example, if you are a florist in Nelson and you were to look at data on the florist industry, that's typically where you would find florist related data. It's not actually as like that relevant compared to if you were to see what is the trend for funerals in my town and what does that mean for my business. And so we're connecting things like that to surface up data that's relevant even if it's not what you would naturally think of as fitting into a specific industry. And our current, so we've got goals. We've got goals specifically to 1.57 p.m. on the 24th of February, 2022. And that's because it'll be 10 years exactly from when I first had the idea. And we want to get by then 80% of New Zealand's public aggregate data processed. And we want to be having about two million people engage with our content. Both things that are actually really hard to measure because how do you count data? But we're kind of working on those things. And our best, these are our best attempts at guessing where we are at the moment. And that's just an ongoing measurement. So we think we have about 15% at the moment. And although I did get a message from, I think it was some of you might know Chris McDowell and he's one of my team on a part-time basis. And he messaged me and was like, I think it might actually be closer to 10% now. They've just figured out a better way of measuring it. So it's probably a total lie, what we currently think. And our whole, like so the whole way that we work is to play well with others. And we rely on everyone else to do what we do. And we're just trying to play like a neutral platform kind of in the center. And we really care about, so it's interesting because we really separate our functions from our purpose. So our purpose is the whole reason we're there. And it's where I guess being a charity, we have almost the luxury of being really staunch and true to that and not getting swayed by other motives. What that means is that in terms of the functions, we kind of expand and contract depending on what others are doing. So if somebody else was to do something else that like endure better in terms of some of our functions, we'd just go, oh, sweet, you do that and we'll connect into you in a different way. And so we really care about, so what's the current state of play and how can we connect in to what people are doing and how can we serve what people are doing in the best way. And it seems to be working. It's amazing actually, it feels like such a privilege of a space to work in, that you literally never say to someone, oh, we're making all the data available for people to use and for them to turn around and go, oh, that's a rubbish idea. No, I don't want that. And it's, so it's quite an amazing space and we're super grateful for those that work with us and that trust us and back us in what we're doing. And we've got some, we've had some amazing partnerships, those stats NZ are one of our strategic partners and ASB are a cornerstone sponsor, but it's seeing data out and about and being used by people that have never used data before that is just the most heartwarming thing. One of my favorite talks was to a group called the University of the Third Age in Helensville. There were about 15 women over 65 and I said, I'm gonna talk about data for an hour and they were like trying to back out of the tea room and I was like, director, so trust me. And I put up a couple of graphs and the first one was the number of dogs registered in Helensville by breed and they were sitting there like, one woman was like, is my border collie in that line? And I was like, yeah, if it's registered, absolutely. And you could just see on their faces, they're like, oh, is that what data is? And then the other delightful moment from that was there's, there was a graph that showed number of farms by type. I think it was in the Kaipata area and there was, and there was like number of horse farms or something and one woman said, oh, but what does that mean? Because we don't technically have any horse farms and I know because I'm in the horsing area and she was being quite forthright about it and I was like, that is the perfect question to ask. And that is the same rigor that you should be looking at all data through is because everything is based on definitions and often it's only when we see something that we're familiar with that we realize how flawed data collection is and but it's never perfect and so it was a really nice way of going, that's totally how we should all be looking at. Don't be afraid to question and to dive in and figure out the definitions. And importantly, it is so not really about the data. People have started asking me if we can help them create a data-driven organization and I really thought about it and I was like, that's totally the wrong way to think about it because data is an input, right? It is only one way of seeing the world and the most important thing is that data shows us something that we didn't know before and we work in cultures or we operate in environments where we aren't encouraged to identify the things that we don't know, typically. We're encouraged to promote the things that we do know. So far more important than going, oh, how do we alert and create a data-driven organization? I think people are under the illusion that you can connect some pipes and that magic insights will turn up and it's like actually the more important thing is how can you create a culture that encourages people to identify what they don't know and to seek the answers using data as an input and that's what we're really about. Thank you.


What's up guys we're back with another epic video today. We're opening a bunch more MRL I think we have 20 total packs of magic ruler original print We're gonna try and redeem ourselves from that last one where we had terrible ratios We also have two first edition lab at the nightmare. These have actually sold out on ruxen34.com I still have more magic ruler pharaoh servant lab at the nightmare unlimited legacy of darkness unlimited So you can check those out there ruxen34.com and let's get into the opening Hopefully this one's better than the last time we also have a giveaway I'll be giving away these three original print super rare. So since we're opening original packs original giveaway So all you have to do like the video be subscribed. Let me know your favorite pull from the video I hope we have a lot to choose from we are gonna start out with Ryan B. He got five packs So we're hoping to pull something big last time we pulled the relinquished but not much else So we're hoping that we pull another relinquished or we could pull the serpent knight dragon That would be pretty awesome. I believe that's what these packs are not totally sure because we have not pulled a secret We're yet. So let's see if we can do that here. We have the dark witch the curse of fiend the snake fang Crab turtle the legend himself and what else can we get? The ark and saw razor bags guarding the throne room lab at the nightmare liquid beast wait Labyrinth wall. Well, I'm not lab at the nightmare. We're about to open some lab at the nightmare But that's what I was getting confused about. Okay Second pack magic ruler original print. Can we pull something epic? Let's see what we can do guys So I want to mention that when we open these original packs the near mint price that pops up for foils Is usually really low. So the reason for that is one it's near mint price on tcg player versus mint condition out of a pack Usually if you pull a card out of a pack, it's mint condition. Sometimes it's not But mint condition is worth quite a bit more than near mint for original print cards Secondly that price is probably for magic ruler a reprint card. They did reprint magic ruler in 2017 2013 2010 all those times But these are 2002 so 2002 has better value than those cards But because they don't differentiate on tcg player, I just go with the lowest price So the price is a little bit higher Probably a lot higher than what you see like that relinquish was like seven bucks last time It's probably more like 20 maybe even more if you grade it It's definitely more than that over a hundred dollars for sure if you got it Then I would say probably like 300 dollars just a guesstimate It's hard to find original print sales But that's what I would guess something like that So keep that in mind for when the the pulls like the the amount is super low because obviously Someone is going to pay more than seven dollars for an original print mint condition relinquished We'll have one does or we got an ancient one of the forest Firecracking here we go Heels and roux we've got a nice rare upstart goblin that is a good pull So that's a good common card to get in there darkness approaches. We can flip our attack monsters face down very weird Okay, third pack ryan b. Let's get him something good Come on Here we go We have a magical labyrinth dark zebra red archery girl Malevolent nuzzer. Let's get something epic here. Come on Nimbum a manga. All right spear creating weather report and another upstart goblin. So two and three packs That is pretty good. We're still looking for a foil though. So the ratios are probably they're one out of six for super rare And one out of 12 for ultras so that averages out to about one out of five So we should hopefully get one foil out of these five. Here we go Mystic plasma zone. We got a whiptail crow performance of sword Giant turtle who feeds on flames here we go We've got a giant trunade. There's our first foil of the video the surface looks pretty nice on it Yeah, so this is what i'm talking about This is a lot different than like a near mint near mint can go to a lot It can be a much worse condition so be considered near mint because it's near to mint, but it's not mint This would be considered mint So the centering is not perfect on this it might be able to squeak by if you graded it Maybe get a 10 but they are pretty tough these days. So nine or 10 quality So pretty decent value there Giant trunade is in a classic.  So he has gotten one out of four so far with two up starts So not a terrible opening not a terrible opening. We would love to go two for five though That would be above ratio. That would be good to see here.  We got a snake fang. Here we go peacock Wall shadow a classic you got to love that guy. He looks really good and Giant trunade back to back The centering is really good on this one. Okay, wait, maybe a tiny bit thicker on the top This guy is definitely within the range. Oh, I think this would be a ps8 10 If you sent it that is a really nice pull Okay, double supers. Unfortunately, it's a double but that is a pretty good super to get a double of So two giant trunades. That's pretty awesome ceremonial bell october sir and the hungry bird to top it off That's a pretty good five packs for ryan. We're definitely doing better than the last magic ruler video Next up we have jesse p with one labyrinth of nightmare first edition pack. Let's see what we can pull here All right, can we get an epic foil? First edition cards. We have soldsmen of land style. We've got the bait doll the forgiving maiden mask of weakness And a spirit message a so we got a spirit message at least it's not the elder rub it in our face Lighting conger and dancing fairy. Okay, at least we got I would say the best pull Swordsmen of land style. I love that guy. Unfortunately, no foil though. Our second labyrinth of nightmare pack This one's for hush and jay. Let's see if we can get him something good These have been sold out. Some of them were bought sealed So we're not we're not gonna see what happened with those and some were opened up whatnot So you guys can check out that video. We had the whatnot video. Wow check out this last card guys That is that's straight up ding that is unfortunate. This is a good thing. That is just a common. That is really unfortunate We've got a draconic attack spirit lady. Let's get something good. Here we go tornado wall shining abyss. Come on Joggin the spiritualist this guy always pops up aqua spirit and skull air. Oh my goodness The final 15 go to Ivan. Ivan has bought several things He got like five mrd packs in the first edition stream check out that stream It was crazy metal raiders first edition box was open. That was awesome So we have 15 packs. We're hoping to get him like a secret rare Maybe a couple ultras something would be I mean two ultras would be really good But we would love to do that Maybe we can even get two ultras in a secret. That's like the ultimate goal. It's like box ratio. Whoa, what in the world? This one has damage to the magical labyrinth guy hit right in the middle Wow. All right, we have dark zebra red archery girl I'm a leveling nuzzler and the mango rye. You ran the october start the hungry burger and the metal fish. Oh my goodness Wow two packs in a row with damaged cards. Hopefully that does not keep up All right, let's get something good here guys. Let's get a good pull We've got a chain energy. We would love to see serpent night. That'd be cool high tide eugen bore soldier hamburger recipe And horn of the unicorn a classic house of these of tape. I always love this rye rant I don't know why I liked it so much. I just thought it looked cool an egg dragon I don't know why I thought that was so cool. Okay third pack Let's get something epic guys If you guys are interested in buying packs, so check out ruxen34.com and uh, I can open them for you Or you can keep them sealed if you want to keep them sealed make sure you send me a message so that I know All right final destiny. We got a penguin tonight eat kaboom Queen bird And a shining angel these got there's so many of these searcher guys There's another rye you ran and a weather report classic I think up starts the card right after weather reports. So we were one away from getting an upstart Okay Come on secret rare guys Secret rare in the comments for luck. Make sure you get send that good luck. Here we go magical labyrinth The dark zebra Red archery girl. Here we go Cyber jar that's a good rare. You love to see it turtle. Oh twin long rods and koto dama. Here we go Magic ruler Let's do this Come on. Let's pull something good. We've only hit giant trunades today. Let's get something else magical labyrinth dark zebra luminous spark Send you of the thousand hands sonic burry and tyone. Oh my these are the weirdest mRL packs All right. Come on. We just need a secret rare. Come on Secret rare serpent night dragon. Let's go Snake fang we got a peacock wall shadow stone ogre garado a behemoth shaped by giant boulders and Oh rucks and special tune mermaid ultra rare. There we go. Oh, it's a misprint. Check this out It's shifted down MRL the set code is shifted down and the number in the bottom is shifted down Basically the whole thing it seems like it's shifted All of this stuff right here the kasuki takahashi and then it's off-centered So it's like that's a wacky looking ultra. That's really cool. Actually tune mermaid ultra rare. That is so cool Finally, we broke the the long streak. We hadn't pulled anything for Ivan yet. That's a great pull It has a little bit of a misprint too. You'd love to see that we've had a ton of misprints out of these pharaoh servant and mRL packs so far. That's we have the reverse foil Imperial order out of pharaoh servant and now we have this with a shifted down I have seen this before but it's somewhat uncommon. I have only pulled it something like those ones Besides this so this is really cool. Okay, so we still have seven packs left We've only pulled an ultra, but it wasn't misprinted ultra. Hopefully we can get a secret rare Who needs supers just get like a secret couple ultras to be crazy Okay, we've got the griggle. Come on guys. We've got the final destiny I want to see if any of these commons are shifted like this penguin knight. We've got an eat-gaboon Anomistic tomato Twin long rods and the slot machine. Okay, nothing too crazy in that one. Let's go to the next pack That tune mermaid was super cool. Hopefully we can get something else cool like that Okay Queen bird we got the grave keepers servant whipped tail crow Performance of sword that is a really cool card if you think about it. It's just pretty cool And a karate man weather report upstart. See I knew it right after weather report is up star goblin And men are that the common seem to come in the same order probably cut on the sheet or whatever Okay Magic ruler. Come on guys Come on Let's get some good. We've got a hamburger recipe psychic kappa griggle Final destiny. Here we go Mangari you ran spear cretin weather report upstart goblin another upstart goblin. That's a good one Okay, I think I miss counted. We still have five packs left. All right. Come on One only one foil out of these 15. So we need to or at least 10. So let's get something good high tide eugen bore soldier We've got the hamburger recipe psychic kappa And an arkansas razor back. So all right another one. All right guys So we've pulled three total foils out of mrl We definitely should be expecting another one, right? We should sure We got to beat last where we already beat last time last time I had two foils All right, we have whip tail crow. We got the performance of sword giant turtle who feeds on flames magical labyrinth An invader of the throne. There we go. I knew we were due for one Super rare centered very good very good sintering back is flawless. This if this isn't a ps8 10 I'm trying to think maybe Yeah, that should be a ps8 10 invader of the throne magic ruler super rare What does this do? It's like one opponent's monster switch control of it with this card cannot be activated during the battle phase But it's a flip. Yeah, I guess so like when they attack into it Huh, so yeah, it takes a turn to set up. So it's not horrible, but interesting Turn low the twin long rods. Man. Look at how badly cut these magic ruler are. Wow. That's crazy The twin long rods misprint. Okay. So two foils. We're hoping for a third one for sure out of these 15 Hopefully will be a serpent night dragon so far. We have not seen one of the magic ruler packs Giant turtle who feeds on flames. We got a magical labyrinth. What is that? Man these packs have all kinds of weird like misprint things It's just like a little line dark zebra red archery girl And mother grizzly october sir hunger burger hunger burger hungry burger and the commencement dance. All right two more packs guys Here we go Two pulls so far. Let's get something else. Let's get something else epic All right Wall shadow. We got a stone ogre grotto tailor the fickle Chain energy. Come on.  That's pretty nice The relinquished superman. These are very clean. Okay. The back is really nice The front looks really good. The centering is a little bit off this way But definitely has a chance at a 10 as well. So these have definitely had very good grading potential for the most part Which is nice.  So you got to keep that in mind So now three foils five total for the magic ruler. That's about ratio. So there we go We're finally hitting the ratio on magic ruler. Um, if we had another one here, that's big So it came back at the end to start off pretty slow for those Okay, final pack of the video. Hope you guys have enjoyed it Make sure to like the video if you guys have enjoyed it and subscribe for more epic Old-school openings.  We've got dark zebra. Tonight. We're doing a whatnot auction It's gonna be pretty awesome. So check out the link in the description below and we're we're gonna be selling some singles We also have ferro servant booster box opening coming on whatnot. It's gonna be crazy. So here we go. Luminous spark. Come on Red archery girl And send you is that a play set of send you and weather report. All right, okay I hope you guys did enjoy that video. That was a lot more fun when you pull some stuff out of magic ruler They look like some good grading potential if you guys are interested in buying some packs We still haven't pulled a secret rarer there yet. So that's pretty exciting Check out ruxin34.com. Also, if you want to see the first edition ferro servant box auction on whatnot as well as singles being auctioned tonight Check out my link in the description or pinned in the comment What not follow me there follow the uh the show or whatever it's called and that's it for this video I'll see you guys later peace Shining of this The revival jam


good. I feel good.  I do kind of give that to injuries, you know, I feel like when I'm on the field and I'm healthy, I'm pretty much in line with my career, you know, numbers. So as the spring goes, I feel good. I feel normal. I feel like myself. I know that I can help a team. I know that I can, you know, be a part of a winning team and help a team win a championship.  So we'll have to wait and see. You allow yourself to crunch those roster numbers. Do you perfectly distance yourself from that? You know, just focus on what you can control. You know, obviously, there's a reason I signed here. You know, I felt like there was an opportunity to make the team and contribute, you know, not just make the team, you know, obviously, you know, like I've been a pretty consistent contributor for a long time.  You know, I'm here to help any way that I can and be ready for whatever comes my way. Obviously, my role is going to be a little different than it has in the past, but I'm, you know, willing to accept that.  So we'll see what happens.  That's not my job. So we'll see what happens.


Lukashenko, Belarus is prepared to join the conflict in Ukraine. Belarus is prepared to join the conflict in Ukraine if the Republic ever becomes the target of aggression President Alexander Lukashenko declared. He noted that his country had enough power to respond to any serious intervention. Speaking to Russia One TV channel, Lukashenko explained that his country was peaceful and had enough wars throughout its history. However, he also warned that it would not hesitate to respond and strongly enter the conflict if aggression is committed against us. We have enough power to respond, the President said, adding that he will not allow the 10 million Belarusians and 3 million Russians who live in the country to be torn to pieces. That's 13 million people. I am responsible for them, he noted. When asked to define what he meant by aggression, Lukashenko clarified that his primary red line was a full-scale incursion into Belarus, adding that he believes such an attack could potentially come from Poland, Ukraine or any other Baltic states. The President noted, however, that he did not consider attacks such as those committed by Ukrainian saboteurs on the Belarusian Makulishia airfield and Russia's Belgorod region this year to be genuine acts of aggression and called them more provocations that were being dealt with. This is a very tangible, strong provocation, where we are not doing enough. But now we have begun to address it and have delved into this nasty, unpleasant problem. Lukashenko said, noting that the saboteurs are already afraid of coming in groups. The Belarusian leader also pointed out that he had never been asked by Russian President Vladimir Putin to participate in the military operations in Ukraine.


Type 2 diabetes is the most prevalent and serious metabolic disease all over the world, and its hallmarks are pancreatic cell dysfunction and insulin resistance. Under diabetic conditions, chronic hypoglycemia and subsequent augmentation of reactive oxygen species, ROS, deteriorate cell function and increase insulin resistance which leads to the aggravation of type 2 diabetes. In addition, chronic hypoglycemia and ROS are also involved in the development of atherosclerosis which is often observed under diabetic conditions. Taken together, it is likely that ROS play an important role in the development of type 2 diabetes and atherosclerosis. This article was authored by Hideo Kikoneto, Naoto Katakami, Ninhai Matsuhisa, and others.


Hey, John Crestani here. And in this video, I'm going to be going over how you can earn and get paid $100 a day with the DigiStore affiliate network. Now, this is going to be a money video. And I'll be going over and referencing this sheet a lot. All of the information that I go over is on the sheet called John Crestani backslash networks which is down below. You can see the link here where I show you my breakdown of different affiliate networks. Now, I'll be giving you a little information about the network. We'll be doing a walkthrough of the affiliate network of DigiStore to help you understand the interface and how you can find such stuff as top offers. As well as how to get support from your affiliate managers and what other support that DigiStore offers to help you make money. I'll also be going over exactly how you get paid and how that happens. And also how you can apply so that you can get DigiStore to start paying you. Now, I'm going to go over everything right here on my computer. And I will be walking you through step-by-step on my screen how to use DigiStore to start earning money. Hey, John Crestani here. We have another money video. So, let's get it. Now, for those of you who don't know what affiliate marketing is, let me give you a brief primer. And then we're going to dive in right here on my computer showing you exactly how to use DigiStore. Now, the way affiliation works for those of you that don't know is there are companies like myself or like fanatics.com that say, hey, we're willing to pay people to market us. Now, they talk to what's called an affiliate network such as share a sale or DigiStore in our case. And they say, hey, can you set up the technology so that people can market our products and get paid. And share a sale says, sure. And they set everything up technology wise. And they look for affiliates like you or like me to say, will you post links about our product online? And we will pay you money, okay? So, you post a link online, post a link, right? Blah, blah, blah, blah, blah.com for their product. Somebody buys their product and the company pays some of the money to the affiliate network. And the affiliate network pays some of the money to you. And you start making money without having to spend any money. It's totally virtual. So, let's get on my computer and go over exactly how this works with DigiStore. Now, in order to join DigiStore, there's a link down below. I also posted up there, JohnCristani.com backslash networks. And that you can also click the link in the description to go to this file. That will give you the link to join. Once you are on the file, you can just click the link over here next to the affiliate network. Or you can click the application information apply to apply to these affiliate networks that will pay you. I've listed all the information about them in this sheet. So, we're going to go over to DigiStore. Now, DigiStore is a very large affiliate network. They pay affiliates about 250 million a year. So, we're just going to go up here to the login area. So, when you get to the link for the network sheet, you can click on any of the links on the left side which are affiliate networks to join them. Now, DigiStore, I'm going to be referencing the sheet here. DigiStore has various specialties. They have a lot of products so you can promote health products. Or if you're more interested in parenting, you can promote parenting related products. If you're more interested in helping people make money. You can promote make money products or investment products. They have a lot of offers. They have over 192 offers as you see right here. What's the best part though is you don't need any approval to join DigiStore. Literally, you just join it. You don't have to talk to anybody on the phone. You don't have to have references. You don't have to chat with people on Skype. It's very easy to join. And they don't have many excluded countries right now. The only country I know of that you can't use to join DigiStore is Nigeria. Sorry Nigerians. I still love you though. So, here's what the DigiStore website looks like. Not signed in. I'm going to log in right now. And place you would log in is right up here. Or if you need to register for an account, you would go right up there. Now, here's what it looks like when you're logged in. First off, let me explain this dashboard. And then I'm going to go into some of the top offers. And I love your feedback on what would you like me to explain the most. And if I miss anything, please make sure to let me know in the comments below if there's something you'd like a little more explanation on. You see the main chart here tells you how much you've actually made.  Now, how would you get negative money from something like DigiStore? Does it mean they're charging you or what does that mean? The negative money is because they're refunds sometimes. Sometimes people refund products if they're not happy with them. Generally speaking on information products, about 20% of information products get refunded. And DigiStore is an affiliate network that specializes in information products or online education. You know, it's just a sad fact. But you may see some negative days. DigiStore is never going to charge you money though. So, that's nothing you have to worry about. It's only money that you've made. And this applies to all affiliate networks by the way, the way this works. So, you'll see some of the commissions here. And you can sort it by different ways. You can look at different charts, whatever you like the most. As you see, I started with DigiStore just recently. I really really at the very end of 2019, I started using DigiStore. And I've just kind of grown my promotional efforts on there. You'll also see a number of things here. So, you'll see earnings. I don't know why this isn't populating. You'll see summary which is the number of clicks you've sent. Earnings per click, cancellation rate and DigiStore average. Now, cancellation rate is another moniker for refund rate. You'll also see what top vendors. You'll see top products you're promoting. You'll see an affiliate support pages of different products that you've been promoting. Let's go over to the top offers and I'm going to show you a little bit about that. So, to get over to the top offers, we're going to look at the marketplace right here. Now, when we click the marketplace, you'll see it's automatically sorted by what they call sales rank. And sales rank is their way of letting you know these are the products that are making the most money on their network right now. Now, keep in mind, they pay out $250 million a year. So, there's going to be a lot of products that are basically making millions of dollars a year. And the number one product is Wesley Billion Dollar Virgin, okay? So, right there, you see and he has a crazy product. It's average commission that you can earn. You can see over right here, okay? $42.55. So, on average, if you get somebody to buy this product, you will make $42. Now, why do I say on average? Now, because the fact of the matter is you're actually making 92% commission. So, whatever upsells they buy, if they buy downsells, if they buy other products from Wesley, you may make more than $42. You may also make a little bit less. But on average, you can generally count on $42 per commission. And your affiliate link is right here, okay? So, this is your affiliate link. Now, you can click this to open it up. Or we could copy it. Let's copy it and see what it looks like. So, here's what our affiliate link looks like right here. And as you'll see, it's got some weird redirect. It's got all these fuzzy numbers and you know, my affiliate ID. Now, this is an affiliate link. And what this will do is this will not be the URL that actually shows up. It'll go to the actual person's website as we'll see in a second. But what this stands for is this is actually the what's called the vendor ID. This is the number associated with Wesley Virgin's account. And this is the associated with my account. And let's see when we pop this in to the URL right up there as we see. It's not going to go to that site, right? It redirected. Oh my gosh, right? And that's how affiliate marketing works is that's how it tracks. And as you'll see, we're actually now on overnightmillionaire.net. And this is the sales page. And people who arrive at this page, the goal is to get people that are interested in becoming rich going to this page. Which is a lot of people. And they'll watch this video. Now, your goal is to get people to this page that want to watch this and want to change their life and want to make more money. And they end up buying, okay? That is your goal. And if you're looking for ways that you can actually get people buying and get traffic, how do you find people on the internet? All you have to do is navigate over to the home page of my channel. By the way, make sure you subscribe to this channel, hit the like button. And also comment. Let me know if this is helpful to you. If you'd like to see more videos like this or if this is too long-winded, too short-winded whatnot. But what you would want to go to for free traffic is you'll want to go down here on my home page where it says free traffic methods.  A ton of videos showing you how you can get traffic to your affiliate link. How you can get people to click on it that are actually interested in buying your product. I'm not going to go into depth into this. But as you see, it's all the methods, right? Google, Facebook, Instagram, YouTube, TikTok. I go over them all right there. Another way you can get to my free traffic videos is go to this URL right here which is johncrestani.com backslash start here. And that will take you to my free traffic playlist. Now, another thing about DigiStore is you can promote my products. And I provide a lot of resources in order to promote my products. And in order to get an affiliate link for my product, you would just type in Crestani right up there in the search bar. And you will find my 2 products which is one is my book which is work at home secrets which is being sold on the internet, on TV. It's you know, very popular. We get hundreds of sales a day of this which means hundreds of affiliates a day are making money from this. And you also have my program super affiliate system which is my 6 week training course. It's my magnum opus. It's where we give people software. We give people websites. We give people landing pages. It's for people who want to make thousands of dollars extra a week. And basically we've created a lot of software just to make it easier for people to make money being affiliate. And our results are pretty outstanding. And it's part of the reason I'm a multi-millionaire right now. So you can go there. You can get your link. You can go to the JV page and whatnot. Now, before I move onwards, another thing is that there's a lot of helpful information on JV pages. Most of the products will have a affiliate or a JV page associated with them where you can find information on how to promote them. So, let's check this out. Now, on JV pages, you get an explanation of how to promote a product and what you're selling and how it works. And oftentimes we focus on how much money you can make because most people that are doing affiliate marketing, they're really most concerned with how much money they can make. So, this is a thousand dollar product. There's an additional upsell for $247 a month which gives people access directly to me. I do webinars with those people. It's called the inner circle. And you get 50% of everything. So, if you get somebody to buy a super affiliate system, you make half of a thousand dollars which is $500. And you make about an extra hundred twenty-five dollars a month. Now, on the JV page, you also get information such as, let's say you want to do Facebook ads. Well, we show you what Facebook ads work. We show you what you should type or along the lines of what you should type. We give you videos to download that you can use along with your Facebook ads. We show you stuff other people have written that have been consistently making sales. And everything of that. I try to always share what my affiliates are doing. If I see affiliates doing something, if they didn't personally contact me, I share it because I want everybody to be successful here. And frankly, I want to have the best training on affiliate marketing on the planet, okay? So, you see we have a lot of videos here that you can use with your Facebook ads. We have a lot of stuff you can download and use along with things. Very easy to get started. Now, in regards to support, DigiStore doesn't offer support. Again, this is a free network to join. It doesn't really make sense. You're not paying them anything they can't really offer much support. And they're approving anybody even if you're not successful. So, they do offer tools. I don't totally know where they're located right now. But they have a web page builder and they have a membership platform that you can use. I believe they're paid. You can check out digimember.com because this is a tool that allows anybody to create an information product business. If you'd like to learn about how I've created a multi million dollar information product business and how to start one, type in below. Show me how to build an info product business in the comments, okay? And I'll do a video on that for you. DigiStore doesn't offer any training and they don't offer a community. Again, it is on you. They're approving anyone which is very nice. As you'll see on this side, not many people approve everyone and also you don't need to be approved for offers. So, they approve anyone. So, it's really on you to figure out how to do affiliate marketing. Now, the cost to join is nothing. Again, DigiStore is free. Completely free to join. And their payout methods are through PayPal. When you earn commissions, they will pay you through check. They will send a check to your house even if you live in... I don't know. Like the middle of a freaking forest or something as long as you receive mail. Or they will send a bank wire. You would need a bank account for that. You can do this no matter what age you are. No matter what country you're in. As long as you're not in Nigeria, sorry Nigerians. Again, not my fault. The cash-out limit is $50. So, you have to earn at least $50 to actually get paid. And if you want to join the DigiStore affiliate network, just click this link when you're in the sheet or go to johncrestani.com back slash Digi. That was a lot of information. I hope you enjoyed it. If I left anything out, let me know in the comments below. I want to make sure I help you guys. I want to make sure you're successful. And the reason is is because when you're promoting products, I earn a small cut of what you promote. I'm here to work with you. I want to make that very clear. I want you making money. Okay? Because the more money you make, the more money I make. And it's my mission to make affiliate marketing easier and more accessible to everyone on the planet. I believe affiliate marketing is the number one most basic form of capitalism that you need to be doing in this century. And again, I've provided the sheet for you. If you want to join affiliate networks, I suggest you actually join all of these affiliate networks. Because the more you surround yourself with money-making opportunities, the better. Again, all of these affiliate networks have products you can sell. Maybe you like care about what products you sell. You want something to speak to you or you want something that you know, in your mind, you determine works or maybe you just want the variety. I don't know. But also what's great about joining affiliate networks is that you get news letters. And they tell you every week what the top offers are. How to promote them. They give you tips and tricks. And using that combined with the information you get on my channel will help you be successful. Again, my suggestion is you join every single one of these. But my top is Digi Store. Okay? So, check it out. Go to JohnCristani.com back slash networks. There should be a link below. If there's not a link below, sorry. I'm putting it on the screen here. And I look forward to seeing you in other videos. And let me know. This is affiliate marketing month. What other networks would you like me to actually do a walkthrough of? Again, I want you making money. Because the more money you make, the more money I make. So, let's get it and start making some money during this lockdown.


did you think that ball that void hit in the ninth was out at first I certainly thought I had a chance and then and then and then I see malice kind of jumping up for it and then and then kind of the unknown which and then just watching the replay where that ball just peers behind his legs that's what that's what judge Ian Luke saw thinking maybe he caught it so he had to scramble back so it turns into that situation so yeah valiant come back there but just couldn't finish it off that first inning with Tanaka ran into a lot of trouble what did you see with him on the mound well you know uncharacteristic he walks a guy hits a guy you know usually that's you know command-wise and then you know for a guy that feels position as well as he does to kind of overly aggressive on trying to make a play and air and then we don't make a play behind them and you know just he certainly wasn't sharp in that first inning but you know we play a little cleaner and and we can limit the damage there does this outing at all change the way you view him in talking about who will be starting that wild card game no no he's very much in that mix and you know we know absolutely what he's capable of especially his track record a pitch and obviously in big games and stuff you know I just thought it was a night where he didn't really have his good split finger going and you know so it was it was it was more of a battle for him than than even usual no no because the the outing against Boston I thought the stuff was really good and I thought the stuff was very similar to what we've seen you know really since he came back from the disabled list again I thought it was some pitch selection and this time he just didn't have a split and that you know unfortunately is the pitch that a little can come and go usually he has it certainly of late he's had it so you know I mean it's all part of I guess how we you know evaluate and make our decisions and what we're thinking but it doesn't you know if we decide Moss is gonna be the guy you know what I have tons of confidence that he can go out and deliver walks a guy when he comes in you know that's that's kind of unlike him you know just a little off command-wise maybe when he when he comes right in there feel like his stuff's alright in fact there's been a few outings mixed in here that I think his stuff's been outstanding so you know we've leaned on him a lot obviously of late and and want to get him down but I'm not seeing anything that wouldn't suggest he's he's gonna be dynamic and in some big spots for us walker okay walk yeah walk at x-rays which were negative you know I just talked to him briefly after and you know he's he felt like he'd be good to go tomorrow but he got it right there and I think in the middle of shit he got a pretty good so hopefully you know hopefully we'll see how it is overnight and we'll we'll see where we're at with him tomorrow but nothing broken or anything not with Romo yeah you know had they gone to the pen and pulled Romo out then we wouldn't you know considered something else yeah but but I already view him in a very high leverage spot and I viewed that tonight you know like yeah I wouldn't hesitate to put him in there I wouldn't say I'm definitely putting him back in that closer spot yet but I've been definitely we're definitely seeing now that's three outings in a row where he's been clean I feel like he's fine in the strike zone really well tonight a lot more fastball you know last time out he showed he showed the slider a lot I thought it was good that he pitched with his fastball tonight so I thought another positive step for for a roll this and we'll see how he bounces back and continue to probably evolve his role again


Welcome back to the Graham Miller show. I'm Sam Murray joined with Stevenson men's soccer head coach Graham Miller and coach open conference Play last week home versus Albright and then a short turnaround traveled to 11th ranked Johns Hopkins talk about those two games last week Yes, I'm it was you know interesting start to conference play, you know Albright You know a game that we were you know excited about and going into and you know hoping to get that win Especially at home to start off conference play and you know just didn't go far as you know We once again dominated possession once again dominated every statistical count except for the one that matters Which was that the two goals they scored and our failure again to put the ball in the back of the net So, you know a lot of pleasing things. I think last year when they beat Albright the only had seven shots This year we overdub we doubled that And but we just couldn't put the ball in the back of the net So it's been something we've talked about on this show, you know prior weeks We have to find ways to get you know somebody to put that ball in the back than it's not like because we're not creating chances We created some really good chances against Albright, but we just need to be more clinical in the box So, you know, there's a lot of positives. We're doing a lot of good things. We're definitely playing better than last year We're doing better things than last year the results. Maybe not sure that But you know to court the you know the team in Philadelphia, you know, we got to trust the process, you know I know Joe you'll appreciate that one Being a Philly Philly Philadelphia fan, I should say so, you know, we've got we've got a lot of things going well for us You know, it's you know, the guys are staying positive. They are working hard You know, it's definitely a tough one, but we've got seven conference games left So like we told the guys we have to win four of them You know, you always have to you know win four to have a shot to be in the playoffs So are we done yet? No, we still have you know, seven games left And you know, my plan is all being all along for this team as we got to keep building keep getting better every day And I think we are getting better You know last night against Hopkins 11th ranked team in the country Very good team and I'm not you know gonna complain about scheduling Because this was the schedule I inherited and you know to play at Johns Hopkins team That's number 11 in the country and undefeated on a Monday night They were really good, you know, that's the level that we want to get to but for 56 minutes of the game last night We held them Tarik Lee had a great shot in the first half if you'd put that away it may have been different and Then we had the free kick 30 seconds Before they scored their first goal that where we hit the post that goes in also a little bit different game So, you know, we were there we had chances We had a bad nine-minute spell and they took advantage and that's what good teams do So we had we took a lot of positives from last night and you know, we'll build off these two games You say building off those games you take a game like a Johns Hopkins where you did, you know Stay with them for 56 minutes. Do you take that as a positive going into? We have almost a full week off going into your next conference game at home versus Weidner Yeah, and that was that's the best team we face this season so far You know Johns Hopkins was definitely a team that you're gonna see a lot of down the line With the NCAA tournament, I think and everything else They were a very good team and very technical and I'll be interested to see how they do with Messiah on Thursday And it'll give us a you know a look for ahead because we've got obviously two other teams on our schedule that are Actually ranked Messiah and like homing so it's gonna be Similar so last night we can take the positive from them that we did hold them for that long And now we did create a couple of chances and you know if we weren't having this seven-game streak without a goal Maybe they both go in and we're we're two nothing up and then it changes a little bit So we're gonna keep doing keep working with the guys and keep being positive and yeah Now we can build off this game last night and I get ready for Weidner Saturday Oh, we're excited to have you back home and wish you the best of luck in that game For Grand Miller, I'm Sam Murray and you're watching the Grand Miller show


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Okay, I just wanted to, I just put this down because I wanted to talk a bit about the problem we have. Okay, is that better? Good enough? There we go. All right, so I didn't make any slides and I just put this down because I think it's a discussion. So, we actually maintain our own Clang fork, okay? Not ideal. So, but the question is like, why do we do this, right? And I'm curious, like, I think this is a common problem and I have a feeling it is because it's both prosilium and for the stuff I work on. So, basically, we wrote a lot of our programs kind of early on in like Clang 12 or something or 13, I don't know, some version of Clang, right? And then as we tried to upgrade Clang to the latest versions, we would rebuild our programs and they wouldn't work anymore. Like the Clang would do things and the Verifier would explode. I think the most recent one that I had debugged, I think before I came here, as just a sort of a case point, right, is that on older versions of Clang, it was riding the socket cookie field of the socket as a 64, an eight-byte load. So, just wrote it over. And then I upgraded, I just like, let's see what happens when I upgrade. And I upgraded to sort of the, I don't know, nightly or latest Clang because I wanted to see what was going on and I was probably doing some of our back ports for Clang. And it basically decided to write that as one-byte loads. So eight one-byte loads that then got code moved around. So like split some other code in the middle and then did an eight, like one-byte loads eight times. And then the Verifier saw that as us breaking apart a pointer and decided that that was invalid because we had split up a pointer inside one of the functions. And it didn't, you know, it wants to copy pointers in big chunks. Anyways, that's like one very specific example. So what we actually do in practice is I have, I think some version of Clang that we had at one point and I basically backport all of the BPF patches on the BPF backend on top of that. And then I actually revert a few things from the optimization passes, some improvements from that side because they cause us trouble. So I guess two questions is, does anybody run the latest Clang other than the CI tests? And then do we want to have like a common Clang backport? I'm just throwing this out there for discussion. I will just observe from the Windows perspective we ran into the same problems with the different Verifier where Clang 10 and 11 are fine, but as soon as we move to 12 and up that it doesn't verify anymore. And so for the latest stuff we're stuck on Clang 11 which means you get maybe less optimizations but some of the optimizations are what can't be verified because it creates correlated branches that the prevailed Verifier doesn't do well with correlated branches. But same thing and there's like bug fixes, right? So I think Clang 12 added some fixes into the source code line number information BTF and so we can't pick up those fixes because we're kind of stuck. Or you do what I do and you maintain your own branch. We don't do that right now, right? But it does mean we're stuck dealing with all the same problems as you talked about. I need BTF and I need BTF for you tags and I just backport them and have our branch. It's not terrible actually. It works pretty well but. I regularly run Clang and with the BTF program latest one and yeah sometimes we do have bugs and most of these bugs are from the Clang optimizer. Yeah. And they make a smart optimization and actually Verifier cannot handle. And my typical reaction is to mitigate and firstly they try to Clang part and to see whether we can, in the LLVM we have several passes and basically intermixed with the Clang regular optimization. So we will try to see whether we can change the IR pattern and try to prevent these organizations. But sometimes it will prove difficult. And so you will see sometimes I also have patches in the current repository and I try to work around the issues. Yeah so consider as a regression and those things we kind of like use the upstream Clang. So these things is inevitable. We are not controlling that and they are not really wrong the BPF self-test every day and we are not covered with the self-test with the BPF with the Clang and you need to test that as well. So the problem I have right is is the self-test are small enough that we don't trigger a lot of the issues, right? And I have a really hard time. Unless I spend a lot of time to like look at the pipeline of LLVM, look at the RRC where the optimization pass went wrong, like walk that all the way back to the code. And then even if I do that a lot of the times it's like try to build a small sample that duplicates it sometimes just really, really hard, right? Like cause you're buried in a big code base trying to extract just the minimal set, right? It's quite tricky. And if it's not open source then you're even more in a world of trouble. Don't extract it. Like put the big, the whole big thing in there. It's thousands of lines of code, right? So that's actually fun. And so basically if you look at the self-test we have this pile of perf 600 and then recently Clang they changed the loop, complete the loop on rolling. They actually break the instruction set. We have an instruction set like a 16 bit and like assign the inter range for the offset and it exceeds that. So we have to mitigate the issues. But the point is the self-test do produce complicated code. And I think if you have such cases it would be good just to contribute even just for the loading part. Cloudflare has a big test. It's a couple, at least a thousand lines. So like answering your question like whether it makes sense to have an official Clang back port? No, like it's a dead end. It's a fork, right? You know how all the forks end up badly. So like the only way is to like keep up with Clang with Clang development nightly and like do more tests, add more tests and we'll keep fixing Clang. And if you didn't back port all of the Clang back end LVM back end changes that you know Hong did around summer of last year. There was a ton there like changes made to kind of pessimize some of the too smart optimizations that LVM was doing. So that was done. So after that things actually improved quite a bit because we were seeing this like yeah LVM would like add the constant there because it knows that the register is like with the constant delta. So it's like crazy stuff. We rely on all this like we back ported I'm back ported all of the BPF back end, right? Like there's nothing, these are not specific to BPF back end usually. Usually these are things deep in the core of the optimization layer. Like there was a, they changed some of the registry allocation stuff, right? At one point about two years ago, right? And this caused some issues. But I think in the latest version if the optimizations were perhaps more parameterizable to like specify instead of just saying you know minus O2 or if there was more granularity then there'd probably be a lot less fewer problems for either John or me. If I could ask for one thing it would be try this approach many times. So, and every time we got knocked by LVM folks so that's why we're doing this fancy wrapping into the function, into global variable helpers to PCMIs optimizations because upstream LVM refused to deselect optimizations based on the back end. So the problem that I'm running into may be different from everybody else's problem given that I got to solve it for two different platforms. I mean, I needed to work for both Linux and Windows which have different verifiers, right? And so if one verifier can verify things that one can't and optimizer is optimized for one verifier then that's when you start to run into problems or if you fall back to lowest common values. That's why I mean by configurable or whatever. I suspect the issues like any verifier will have issues because some of the optimization is just like not possible without doing full like compiler analysis. Another possibility would be for Clang if there was like CI CD for Clang that actually ran say two verifiers and any new optimizations that affected BPF bytecode. That would also be fine. So I would actually turn the question around and would ask like should we test our self-test with older Clang's? So like we know that we at least have like workarounds for some issues so like I don't know like should be because like for Libia for example we run like old kernels like latest self-test on old kernels we obviously just like have some subset of tests that run there. Should we do that with like major Clang releases? I definitely don't sign up to maintain this but I'm just proposing. Well, some of the tests we know will not work so like we can potentially but in the readme in self-test we list all of the building diffs that are required to even run the self-test. Sometimes they compile the self-test sometimes Clang will just crash to all the Clang's without bug fixes will just crash. But in the past we had one LVM build bot that we contributed back then for every backend there was a requirement that there should be public build bot and I think it died by now so we can like do it again and there we can let's say it will be running for every LVM commit. So instead of what we do effectively we do a night list of Clang we can put a spawn LWS instances needs to be really, really beefy and run all of the LVM stuff for every commit and then like upstream we'll see that all of your breaking VPF build bot. That'll be great. It's work. But you mentioned, right? I mean like other backends probably also have their own test suite and when something breaks they will revert to change upstream, right? So that too. Yeah, like windows build there are like I think four windows build bots for different, I don't know why but like they do different stuff. This would be ideal. So would this be acceptable from a LVM community like where you would use that as an argument to revert that optimization change or is that not a way forward? It depends like yeah, that would be a great area. At least they will notice and we will notice like first of all they will notice because often like when Jan Honk notices that the latest Clang broke something like he will bisect it to a commit that happened months ago because it's hard. Yeah, it depends. Mostly generalization is really hard to revert. Really hard. So you have to provide a workaround of VPF specific paths to change the behaviors. Yeah, it's going to be good. Well, yeah. So but like I mean like what is the way forward if the emerging optimization that is really hard to verify it and we are stuck kind of for we change to verify or like? Every time that happened, we managed of your own managed to find a way to trick LVM not to do it. So now we have like passes that run in the Clang phase then passes run at the MIR phase, et cetera. So basically realistically we can improve detection. I don't think we can prevent this, right? That's the conclusion. Without like a build bot, right? Like I mean if we went to put a build bot like VPF backend has to have enough political way to actually say like, no, this is not going in. And I don't think we have it. And like realistically, I'm not sure we will. Yeah, but it's still a huge struggle. Like I think that would be super helpful, right? Because the struggle now is like we are, you know, we notice it quite late. But we notice it with self-test. It's just like that self-test covers some patterns of the code and like you guys use different patterns. So like if you contribute your patterns like we will catch it sooner. Because we run it all the time. That's like, yes. There's no good argument against what you're saying by the way.  But like what pipe, we have like pipe path. Like that's actually taken from a real application. Like strip down some like irrelevant parts and like it's pretty much full thing. So I don't know if you can do that, but try. Like in especially in the ceiling tests you don't need to run even run the traffic. You just take your 2000 lines program and just load them. That's it. That's good enough. That's what we do for pipe effects even. Like trying to like, no, we don't even try to run. Yeah, we just load. So the biggest amount of work, right? Is to get our stuff working on latest. There's nothing you can do to help with that, right? Like to do that. And then at that point then we can start doing regression testing, but like right now we're at a point where we can't even do regression testing because it just doesn't work. That's a resource problem. To-do list is getting longer, the more days I've been here.