Okay, thanks very much Matias and I'm really pleased to be here. It's a different audience for me, it's nice to have a connection to the CTA project and to see some friendly faces. Matias, it's very nice to continue the work with you. Thank you very much also for the introduction, touched on a few topics. That's true, I work at the CDS in Strasbourg in France. And I will, I put the slides on onto the escape template because most of what I'm going to talk about today concerns things that have happened in the escape project. But I also tell you a little bit at the beginning just about my background and, and a little bit about the CDS. And I should also say that I've stolen a few slides from colleagues of mine in the escape project, Matthew Serbia and Matias and as well as my colleague from ESO Alberto Nicole. I use a lot of liberty to demonstrate things using some of the CDS tools and so you'll see that as we as we go along. Yes, so just to add to the introduction so my background is as an astronomy researcher on active collective nuclei. And I've somehow found my way to working in a data center and open science. So I'm the director of the CDS and as Matias says we have services that hopefully are well known and used throughout the community. And last year we celebrated the 50th anniversary of the CDS. And so I mean contributing also to the idea way because it relates directly to sharing data, and where I've led the virtual observatory activities in the escape project. I mean, just a couple more words on CDS it's a it's a French research infrastructure. I'm going to be using the word research infrastructure a few times so I sort of thought I'd point out that the one that we have here is a national level research infrastructure at the University of Strasbourg in the CNRS. And we have our reference databases simbed which has some 14 billion objects in it. We collect catalogs from the published literature there are some 23,000 of those 80 billion rows that we we serve as our role in astrophysics. And we have a visualization tool called Aladdin, which has all sky surveys in it. It's the fastest growing service we've got almost half a petabyte of image data in accessible by Aladdin and other services and API's that serve those tools. And we make them interoperable by standards by using the standards of the idea way. And that's the International Virtual Observatory Alliance. And this is kind of the link into the work that we do in a scale, and in the virtual observatory. So there's a whole landscape of these type of activities I mean this is a CDS centric view of what we do at CDS we have connections to the to the infrastructures like the big telescopes and the space missions who have their own archives. We also collaborate with astronomy data centers like ADS that we all know, as well as Ned and Canadian and American data centers. We participate in this activity which we call virtual observatory. It's kind of a idea that the data that we publish in the electronic services in astronomy kind of make this digital sky of data that we can observe and so this idea of virtual observatory came out in about 2000 and we've been using that word. We're participating horizon 2020 projects, you'll hear about escape, and we also sort of connected to some of the data infrastructures that are out there like the research data alliance, and in Europe, what we call European open science cloud. At CDS we have a kind of special link to the journals in astronomy, because we process the data that comes from the journals. Okay, so this is what the CDS does is part of a much bigger enterprise, which we can call open science. And if I think of some of the main elements of that it's about how we share the data. And that in terms of something being open, you know there's sort of no barriers to that that's seamless it's it's the idea that we can reuse that research data in a relatively free and easy way. Not spending most of our time writing programs or logging into websites or things like that so that's the idea that things are open and seamless. And it's quite well known now to use the word fair and I like it a lot because it gives us a kind of common language for what we mean about open science and data sharing that the data should be findable. It should be accessible that it should be, you know, kind of usable together interoperable. And the whole point of doing that is that we don't, you know, we can reuse a lot of the data that comes from observatories. In many ways, not just for the original PI science but for all types of activities and astronomy it's really a common way of working because most of the physics questions that we need to ask today in astronomy need data from multiple telescopes so we really need to be able to combine data and reuse it. Another aspect of that is that you know this doesn't happen automatically. There's a lot of computers involved of course there's a lot of technical things, but there's also a very human side to open science and we call we can call ourselves data stewards, because it's the human aspects of being able to, you know, provide quality data to manage the data to provide those those services. So the fair is this acronym which is being well abused everywhere now and I, I kind of wanted to jump into a sort of visual example of fair to sort of show what I think it means for for some aspects of astronomy. So if you're interested, for example in active for interacting galaxies, you probably know about the antennae and NGC 4039 is one of those interacting galaxies and I, I kind of want to show you an example of fair with with the antennae galaxy. So, so how is that findable if you're using a tool like, like the one we provide from the CDS called Aladdin, you can basically type in the name of the object, it gets resolved to an astronomical coordinate. It then queries the databases that are in astronomy. And it can tell you where you can find that data. So this application is fairly detailed. And you can see on the on the left panel. It shows you the data collections and actually that lights up in green when there's data available for that object in the field of view that you're looking at. And this is an interactive thing you can zoom in and zoom out, and those colors will change, depending on which services are able to give you data on that object.  And it's also telling you where it's not found, which is, I find it extremely useful thing to do. And that's because behind those data services that are listed on the left hand side. There is a kind of indexing, and it's a coverage of those different services on the sky, using a map like what you see here that allows those services to tell you whether they have data or not at that point in the sky. So that's finding that's f accessible. Once you've got, you know, and you found that the data exists, you can, you can access it, you can look at it, you can visualize it, you can download it. So that's the A. So the interoperable. You want to use data, not just from one source, but from many and tool like a level allows you to pull those data into register them astrometrically so that they're on the same zoom scale, you can combine them overlay them, do what you want. And so that's kind of one level of interoperability, maybe a fairly simple one, but one that we certainly need in astronomy. And it's reusable. So I've shown you Aladdin, but a lot of those services which are available through Aladdin are also available through various application programming interfaces, and you can query them for example through Python notebooks. So here's just one simplified example where you are using that data that's there accessing it programmatically in a Python notebook and doing things like making cutouts of the data so you're reusing them for some other purpose so so that's my kind of visual example of a fair for astronomy using just one one object. Now, how do what makes that possible. How does that work. And one is the standardization that's behind for the all sky coverage, we use a system called hips that stands for hyper hierarchical progressive surveys based on hill pics, you split up the sky into regions and then you keep on dividing those regions four by four, as far as you can go. It's a system on the sky that's easier to use than astronomical coordinates. It's a system where you can support this idea that the more you zoom in the higher resolution images you get or the higher detailed information you get. So that's been standardized in 2017 by the way and we have a paper published about that. And this is, you know the technical side of it what you, you know, you have a complex table like this that shows you the indexing of those reviews on the sky and what's the reason why I show this table is because it sort of illustrates that you can combine all of the different W map images have a resolution of only about seven arc minutes on the sky. But in the same system, you can describe, you know, an image from the Hubble Space telescope using, you know, with 25 million second pixels. So you have this system that allows the description of all those different sites up to data in the same way that allows a tool like a Latin to use them all together. So it's standardized with a lot of effort to make kind of agreements at international level about how you do that through the idea way and you end up with standardized documents like the one for hips that's shown there. And that becomes a kind of versatile container. Anything that you can describe on the sky you can make into a hips you can make it for images you can make it for catalogs. You can make it for density maps or flux maps you can see the guy density map on the bottom there. You can see the footprint of observations there and because it's actually because it's a sphere you can even use it for planetary services. Okay. And here's my video I've got for this move this slide, this some talk, whereby, you know, in escape, for example, we've used the path of the data of for SKA using the cat. There's some noise coming through. I think maybe someone needs to mute in the background, but okay so this video was just demonstrating the use of the use of that standard where you can deal with the whole sky of data. The more you zoom in, the more you get. And it allows you to access those terrible petabytes of data that you would not be able to download onto your computer and zoom into. But here you get you're being streamed just the data you need to for what you need to see a given moment. And you might have noticed that we were changing the stretch on that image. And that's because it uses not just a visualization format like JPEG but behind that is the fits files of that mere cat image of the center of the galaxy. And you can actually change the stretch, because you're dealing with the real scientific values not just the, not just the visualization. That indexation of the sky is extended to not just the images like you saw but also to describing the coverage of a given data set in space like what part of the sky does it cover. So let me just mention to that that we've done, which is based on time so you can say, you know what is in what region of the sky observed within a certain time range. And you can use these things to make the intersection between hundreds of surveys in space and and time. So that's the I just wanted to sort of give the idea of standardization and how it relates to some of the data that we're using on the sky. So that's the concept of the standardization that's been done at the international level through the IVOA. This is a kind of overview of all of the standards there and the architecture. There are about 50 standards that are approved over the lifetime of the IVOA. And let me just sort of show you what the idea is I mean, we can split this architecture up into different levels this is the most simple level, where you say, you know at the top and at the bottom you have your providers and you want to be able to find that data, get that data, use that data, share it and what happens in the center is basically what needs to happen in the VO. This is the sort of next level of that architecture where you put the language of the virtual observatory onto that diagram. So when you talk about finding, we're talking about the virtual observatory registry. When you're talking about getting, we're talking about the data access protocols. And then everything kind of in the middle are things like the formats, the semantics, the data models, the query languages. And then also around that there's the applications, the metadata, the collecting of the actual storage and things like that. And then the IVOA has built standards that relate to different areas of that architecture. And so I want each blue box here is a standard that relates to some aspect of that architecture. And there's a whole process for that. You can access all of the standards through the IVOA, they're published through the ADS they have DOIs for the standards themselves. And we also list all of those standards in a thing called fair sharing it's a database for standards across all different areas of science. And here's just another idea, you know, aspect of how you, you know, what that enables you're able to have your applications that can talk to one another based on the standards that data is accessible by the standards. And there are a number of tools that support them, not just ones from the CDS like I've shown at the top but also others like, like top cat and, and various libraries for Python notebooks and the like. Okay, so the standard don't much good unless they're actually used. So there's been a big push of course to foster the adoption of standards in research infrastructure so I'm going to give at first a couple of examples of those. And in fact, the request for the, for the presentation in this webinar was, was asking, you know, what, what can CTA learn from the experience of implementation of these types of technologies in other infrastructure so I tried to highlight now how those standards have been used in different places. And then I'll get on to how we've supported that in escape. So, so here's one nice example. It's Easter sky, it's from the European space agency. They have a data center, which has influenced virtual observatory standards and they make things accessible through their tool called the supply it uses the hips images that you've used, but it uses the other standards for tables called table access protocol that uses queries to the astronomy data query language, and it provides a sort of semantics of the data using a standardized thing called UCD which is unified content description. So that's taken the approach at ESA to integrate VO fairly deeply into the archives, even the internal workings of the archives, make use of the table access protocol, and of the various standards and then they expose those data models and those, those data through applications and query formats, like Easter sky but also other programmatic things. So that's one example. Another example is the recent use of some of the virtual observatory standards for gravitational wave follow up observations and the localizations of those gravitational waves on the sky so they have applications that enable you to visualize using those standards. The coverage on the sky where the gravitational wave may have came from you know so those are probably probability maps that they display on the sky and they use the VO to manipulate those sky regions and to do various things for their users. So that's an example where the VO has kind of been implemented as a layer, you know they've already got their services working, and they're able to provide a kind of VO layer on top of those to then interact with that interaction through tools like what you see there. Okay, so there's been a few ways we've been trying to support the adoption of the VO in Europe. There have been a series of what's called Euro VO projects that have run for, you know some 20 years actually, since 2002 and of course there's been many projects that have run for that time. The most recent project is called escape and that is a project which is not just VO VO is one part of escape and that project ran for four years between 2019 and and January this year. And that's a big project, which was addressing the open science challenges of many large research infrastructures in astronomy, astro particle physics and also in particle physics. So there's the whole set of logos you can see on the side there and in fact that project came to a conclusion in January. So these are the logos again of those things where it's various particle physics projects, and what we're really concerned with are the astrophysics ones, and I prefer this diagram, which, which shows the actual pictures of the existing and sometimes future infrastructures that we're concerned like the square kilometer array, like the joint, like the VLBI network in Europe, the ELT of course plan for the future ESO telescopes including Alma that you see in the picture, the Europeans solar telescope and the Chinkoff telescope. All right. You know on the particle physics side. There's their projects like concern, and, and the project called fear, but also the gravitational wave from partners for ego and Virgo and cosmic ray neutrino. So escape was a big project that had many aspects to it. I think I've got it. Yeah, okay. So there is aspect about data storage with the data leg. There was a work package on science platforms for processing data. There was a science aspect of the project. There was a work package that built an open source software repository that is in operation. And there was the video so the video part concerned the things I've sort of already started to mention interoperability of data, publishing data in a standard way so that it can be accessed, and what metadata and protocols and I needed to make that that work. And basically what I just said the virtual observatory part was to use the VO standards to make the data fair. And the idea was that we expanded from what had happened before to to new partners, the solar telescope for example is completely new application of virtual observatory standards. It's fairly new for radio astronomy. And I would say that's also high energy astrophysics concerning CPA is also a relatively new area in which the standards were sort of maturing and we helped them mature during escape. Let me go fast through some of the objectives. This is a project level things that we were trying to do to. Oh yeah, let me let me move on a bit and just say the approach that we took was to combine the partners who already have expertise in building things like virtual observatory standards and tools like ones from the CDS but also from the University of Heidelberg and Spain and and combining those partners with the partners from the research infrastructures like ESO, SKA, GIVE, CTA and putting those together in a way that enabled us to assess the needs of those infrastructures for VO standards and then to do some level of implementation. So the way we did that we did it through having technology forums. We did it by bringing those partners into the IVLA itself. And the key part of course was to implement to develop to prototype. Each infrastructure was really at a different level of maturity. So that needed to be taken into account. And then we also combined that development by making sure that those services are really usable and we took them to various training events where early career researchers would come and participate in schools for using that data. And then we also had training events for the, for the data providers themselves where they would come and share the experience of how, you know, what difficulties were they having to implement VO standards or what did they need from those VO standards. And I've really stolen some slides from those events to, to highlight the aspect of, you know, learning from the other implementations. So one of the relatively mature implementations of VO standards is that the European Southern Observatory. They have an archive and they have, you know, we have documented the experience that they have had in adopting VO technologies. And we're doing that so that we show what's possible. Other infrastructures can assess from that what is relevant for them. And really important, you know, we highlight what the strategies are for adoption, and what are the difficulties, you know, it's not easy really. So what are the difficulties that come about so at ESO, for example, when addressing the IVA standards, they basically have a process where they define high level requirements. They selected which standards were necessary. And they went through a process of implementation. So that's that's a very simple thing to say. In the documented case, there's really a lot of detail about how they did that through analyzing the constraints, working out what evolution of their existing archive infrastructure would have to happen. What database selections they needed to use. What could be used off the shelf and what you'd have to be built from scratch based on their needs, the cost, and how to build that into their process at a big infrastructure like ESO. The example is fairly good because they have a successful science portal with a web interface. And they integrate those real aspects, they use a lot of existing tools, integrate them into their services, and as well as library so they use tools like ones that they might get from the CDS, but also libraries that are shared between different partners around the world for accessing and querying data models and building up their services. What's really important on in the ESO example is that they show how you can have alongside of the interactive web interfaces. You can have the programmatic tools and access. So they have a lot of documentation about how you can query their services using ADQL, this language which is used for accessing tabular data. They have an interactive way of using on their website, but then you can use that programmatically as well and they highlight which IDLA standards they use, and then which, which software has been used to implement those. So I think for other research infrastructures assessing how deeply how much to use their tools, and if it's useful for them, it's a really good example, because they really highlight what tools they've used internally there. And, of course, they provide feedback, and there was, you know, I don't want to hide from this in any way. They have a big assessment, which they call, you know how bumpy was the road. In some cases, of course, it's a bit bumpy, because it's not like implementing DO is just implementing a toolkit or, or something off the shelf. It's usually requires adaptation to the real needs that you have there, you know, you have a certain kind of data. It might be characteristics, it might be lots of small files, it may be a number of big things it may be distributed in different ways. So I'm not going to go through this slide but just highlight that you can read the, how, you know, what sort of issues they have to overcome. The other example I wanted to highlight a little bit more quickly is, is in radio astronomy from Jive. They were a relatively newcomer to the virtual observatory. And they were able to build up expertise using those standards, because some of them are complex, and also understanding what the dependencies were, especially if you're in an operational environment, and you need to implement something new. So what I want to highlight a little bit more quickly is, is in radio astronomy from Jive. They were a relatively newcomer to the virtual observatory, where, you know, radio astronomy and the bureau is in its early stages, and Jive comes with, you know, lots of legacy data archives, and in particular different types of data. And I've just directly stolen some of their slides presented at the escape events where we did this type of analysis. They defined what their video protocol use cases were, for example, accessing the historic data, which would then be used for high resolution follow up with, with the LBI that related to gravitational waves to various things. And they wanted to have a standardized access to that archival data that you could use through science platforms, and they wanted to do that through Jive, the lab environment. And they really had to face the fact that the VLBI data is different to say the data that's from a classical spectrograph or from a from a optical survey done by ESO, for example. So it's visibility data. The observation properties are less well defined. I mean, there are footprints. And there can be multiple sources in a given data set. So, part of the process there was discussing with the video partners about how to get the metadata about that, right. And they evolved to being able to use the OPSTAP approach, which is for exposing the tables of data in a standardized way, using the OPSCOR data model. And they use a lot of this standard called data link to link together the different components. They implemented using tools such as the DAX suite, the ACHS provided by Heidelberg, which enables them to expose their database in like in the picture that you see there. There's, you know, there's software in there that allow them to ingest data to, to, to integrate with their system. In particular, it's another case of a kind of layer because they say that they run on top of an existing archive. It's not like they rewrote the whole archive. It's like they put a layer on top of that. They just did their service, which means they make an access it through the tools like, like, like a ladle. And in summary, at the end of the escape project, they were able to say that, you know, the European VLBI network data archive is more findable. These protocols were used to implement services that can access the access to the science platform, and that had helped from from the partners in the project for doing that. So this is my overall sort of results table that we that we produced for the escape work where for each of the different infrastructures that were involved. And results for helping them to use the video. So for ESO, it was, you know, the video standards in the archive and well basically using them as an example. For the gravitational wave, it was the development of the mock 2.0 standard and the associated library that allows you to deal with that in Python called mock pie. For the radio astronomy, one of the biggest things there was really just getting radio astronomy going in the eye of the way with the creation of an interest group there. I skipped to EST. I mean, they really faced for the first time, how to describe the metadata about solar physics that they have. And for high energy for CTI and for KM three net. There was a lot of effort, putting the project about data provenance standards, and for helping the implementation of those so here I'm really referring to the work of data. And there were, there's a reference paper published about that and there were workshops held about data provenance. And so I've taken a few slides from Matthew just, I mean it's not certainly not for me to lecture to this group about the high energy physics but clearly it's this, you know, these different types of that physics that you can access for in high energy science. CTA, of course, is about protection of events, a kind of indirect detection of the astrophysical source. I certainly won't lecture you on on those, but I think we should. As Matthew explains, recognize what is the complexity that comes with that there are many telescopes. It's an indirect detection. There's a strong influence of the atmosphere in the state of your instruments. It's a transient sky that you're observing. And the data acquisition involves a reconstruction, a detailed reduction of the data. And so, at the IDO level, or for VO and CTA, I'm extracting here information from Matthew, I mean the main thing is to be able to handle event lists that are appropriate to what is observed, or what will be observed with the CTA. There's a data discovery aspect where, you know, how do you describe the core elements of observation for a high energy event list. And what is the connection between the data, the detailed data model that you will have in CTA to the standardized more simplified data model that you would use in as an IDO and OPS core. So these are some of the technical details that have been addressed at the level of like within the escape project working out what are the observational core data model fields that are relevant to the CTA data. And here you're getting some very technical things of course about calibration level about how you describe the coordinates and the regions. You know how do we map the CTA versions on to the IDO version. Of course, there's examples for surfaces like the HES data. This is just an example of using some of the services that are already there for accessing the tabular data from HES and being able to display it in tools like Topcat. And one of the results of the escape work was to really standardize based on, you know, CTA requirements, things for the provenance of the data. What happened to the data because it's such an important part of the CTA pipeline and processing to be able to capture that. And that was something that was brought in by the CTA project, asked, you know, and working with partners like Observatory of Paris and CTAO to come to the standardization necessary. And so it's been quite a good success actually to have that standardized and to publish papers and have workshops about it. So I'm coming to the end now. And we do all of this so that our, you know, astronomers can use the data and do science with it. And in the escape project, we've tried to foster that through the Virtual Observatory schools where people come, and they bring their own projects. We support them before, during and after the school. And I guess I'm highlighting that slide here because there's a whole lot of training materials. There's interactive, interactive tutorials that use tools like Top Cat and Aladdin and, and the different services that are out there. But other results are Python notebooks that can run in the escape platform and integrate with the wider aspect of escape. So this is just a screenshot of what we've been doing in the last years, lots of virtual events for training. And in conclusion, I hope that I've shown you that the VO is a mature framework of standards for data sharing and interoperability and astronomy. The use of those standards has been supported by projects like escape, where we've brought the VO experts together with the partners from those experiments from those large infrastructures. It's not necessary because you need that combined expertise to make progress. Also, the people involved with developing, you know, the archives and the data servers of those instruments. It makes a big difference if they also participate in the standardization themselves that way, the standards that are built are really relevant to what you need. And I encourage really being involved in the IPA. And I think the use of examples of implementation are a valuable way to identify other for infrastructures that different levels of maturity to work out what they should do based on the experience of others and hopefully feedback themselves. You know what they learned and what they achieved. And I have provided a whole set of references at the end of the talk with links to some of the information and notebooks and documentation, but I'll go back on the conclusion slide and I'll finish there. So thanks very much for your attention.


So today is going to be a very special video because today is my birthday. And on my birthday, I want to talk about one of my favorite topics, success, and what it means to me and how you could probably use it in your own life. We need to all those after this intro. All right guys, what is going on? Luxury for the empty journey helping you succeed on your journey with less stress. Now, as I mentioned the intro today is indeed my birthday. Today is August 2nd and I just turned 26 years old. Now with it being my birthday, I wanted to make a Monday motivational video on a Friday and it's because the way I look at my birthdays. My birthday to me guys is honestly the equivalent of what some of you guys may attribute to your New Year's resolutions. It's my time of the year to reevaluate and see how I can change my goals, my understandings, and my perspectives. And one of the most important questions I ask myself at this time is what does it mean to be successful? Now granted, everyone has their own definition. There's no right or wrong answer. I'll give you my take and maybe you some of you guys can take something with it and attribute it to your own life. So first of all, what does it mean to be successful? Now I used to have a different definition of success. I used to have an image of what success meant. It was probably a wealthy person who was well educated, probably athletic, good family, good person, good characteristics. That's kind of my definition of what a successful person looked like.  I want to have the lifestyle. I want to have the family. He's happy. I want to have everything that he has because he looks happy. But then I realized, and I think a lot of you guys have had this kind of epiphany too, is that sometimes all those things, the money, the family, the lifestyle, doesn't make you happy. So that definition of success wasn't true. So then I had to ask myself, okay, well, that's not success than what is. So then I had to create a new definition of success. So here we go. Success to me guys is when you can look back at yourself in the past at some point, whether it's a month ago or a year ago, and remember yourself encountering something difficult. So for my pre-med, you know, or medical student of yours, it may be something like the MCAT or step one. And you were at a point at that time where you're like, man, I don't know if I can do it. Study schedule, the hours. I don't even know if I'm smart enough to take this. I don't know if my score is going to pan out. There's a lot of ifs and a lot of doubts. But ideally the results were in your favor. So success to me guys is when you can look back at that person before taking the MCAT, before taking that important test and saying, if I was to do that again right now, I would consider it tough. And that person in the past a year ago, a couple of months ago, was able to do it and overcome all those obstacles. That person is successful because even today for me, that would be tough. So when you can evaluate yourself in the past, overcoming something that was really challenging, even for the person you are today, that is success. So am I successful today compared to the person that was yesterday and a month ago and when I was 25? Absolutely. I have overcome a lot of obstacles to get to this point. There are things that have happened the last 365 days. And I was like, man, that's tough. I have no idea how I got through it. Residency interview, step two exam. There's so much more. And there are going to be things that I encounter in the age of 26 that my 27 year old is going to say, he was able to get through it. He was successful 26 year old. Am I successful? And for me, honestly, the answer is if I compare myself to a month ago or a year ago, answer is absolutely yes. But am I successful forever? That's the real question. And the answer to that, at least to me is no. You know, I think success is a progressively moving finish line. And as soon as you get to the peak of one month, you realize there's a lot more clients left to be made. So that is kind of my definition of success, guys. That's why I'm always working so hard to always kind of be better than the person I was yesterday. Otherwise, what was appointed today? Again, as a long-winded way of me reevaluating my 25 year old, I think it was a very great year. The website, the blog, the YouTube channel have done so well. And I really have all of you to thank for it. For at least watching the videos, making to the end, hitting that like button and subscribing to the channel. Thank you guys so much for the support you've shown this channel and to me on my journey. Hopefully I've been a little help to you on yours. But if you enjoyed this video, a humble request to go ahead and smash that like button and to subscribe to the channel. And also in the comment section, drop your own definition of success. I'd love to hear what you guys think. And looking forward to watching this video when I turn 27. So here's to another 365 days of constantly moving forward. Hopefully you guys can join me. And thank you guys so much for joining me on my journey. Hopefully I've been a little help to you on yours. And I'll see you guys as always in the next one. Take care, my friends.


About 12 years ago, I started to coach self-employed people and entrepreneurs in marketing and then I expanded that to business development or business creation and growth in general. And I have noticed that after teaching and mentoring and coaching thousands of self-employed people by this point, there is often a very unrealistic understanding of the timeline of what it takes to go from nothing. You don't have a business zero income to having a full-time meaningful income that is recurring and some of which is passive income. So I want to share with you in this video a realistic plan and therefore it has a more realistic timeline and I'm calling this the 10 year plan for authentic business. All right, so what's possible with this plan just to give you some hope and inspiration and I'm going to refer to my own notes as I talking through this is that by the end of the second year, you'll have a part-time income providing a service that you enjoy and would love to share with more people. By year four, you'll have a full-time income, which includes one-to-one service and some group offerings. And then by year 10, you'll have definitely a full-time, you'll still have a full-time income by that point. It's recurring income and it's also by year 10, somewhat passive and possibly quite passive depending on how much outsourcing you do by that point. And it allows you for semi-retirement and being one of the best in your field as well. And when I say semi-retirement, the reason I say that is because I don't believe in full retirement. That's why my plan talks about this. But if you use the plan, you could technically create full retirement if you automate and outsource everything. It's just that in my viewpoint to have a really authentic business, one that is providing genuine deep value for the customers and the clients. Semi-retirement makes more sense because if you completely take your hands off of the business, what happens is that you will surrender the innovation and the continued growth of value for your customers. You'll surrender that and your business will become more and more irrelevant. So yes, of course, you can retire if you save enough money and decide to sell the business or close the business. But in this viewpoint, my personal goal is to never retire until I have to because of mental decline or physical decline. But to work as long as I can, at least in a semi-part-time way, anyway, this is what this plan allows you to do. So let's get going. All right. So the first year, and by the way, as I'm talking through this, please imagine yourself doing this. And if you have any blocks to following the plan, please go ahead and comment below and let me know what your question is. And I'd be happy to address it briefly and in whatever time I can. So first year, the focus in year one is authentic content marketing.  It starts with building an authentic audience, an audience of true fans who actually care about your message, care about your journey, and really match your energy signature. And sometimes I talk about this and I don't talk about it often enough, which is that your energy signature is unique in the world. Nobody else has your energy signature.  And that is really unique in the world. And there are probably tens of thousands of people in the world think about this there are approaching 8 billion people in the world, 8 billion. So what's 1% of 1% of 8 billion. That's very small number right take take take 100 random people in the world. And let's just select one of them. It's quite special already so 1% of 8 billion is 80 million. Right. Yes. And then take those one one out of 100 very special people in the world who more resonate with you. Okay, one out of 100 random people in the world resonate with you. Now let's take, let's put it what 100 of those special people in the room. And let's just take even one of those people who resonate with you the most. That's one what's 1% of 80 million 800,000 people. Okay, so 800,000 people and let's say that you were only ever in your lifetime able to reach 1% of those 800,000 people. 8,000 true true fans that you are able to definitely reach in your lifetime. So my goodness with 8,000 truth I don't even have 8,000 true fans I have 8,000 fans. You know maybe I don't know 800 of them are true fans or something like that I don't know, but I'm still long away from reaching those 8,000. I've been in this for 12 years and I have maybe 800 maybe true fans. Maybe it's more like 80 true fans I'm not sure but you certainly have something like 8,000 true fans and year one, you start to reach some of those 8,000 true fans with authentic content marketing. What is authentic content marketing, it is sharing of yourself, your passions, your learnings, your experiences in a way that you're not trying to pretend to be anybody else, you're sharing as if you're talking to future true friends, which your audience is your audience. The way I think about marketing is it's building true friends at scale. That's what marketing is. And many of you who have begun to, you know, work with me more closely. Yeah, we're kindred spirits, you know, we're like true friends, right. Friends friendships that's people can define it differently but essentially you're becoming friendly with people who resonate with you. Just for who you are so that's what authentic content marketing is you can do, you can write a blog. You can do videos, you can make a podcast. You can use Instagram, you could use whatever social platform you enjoy using and communicate whether in writing or video primarily that's what I recommend is writing or video, let that be one or both. I tend to be better for building an audience that way. Podcast is okay but I would recommend podcast be a side sort of like an addition to either your core method of content being either writing or video or if you can do both. That's even better for nurturing and growing an authentic audience. So that's year one is you're focusing on that. Also, also, by the way, year one you're focusing on then to content marketing, which includes I should mention content distribution. If you are just putting your right writings or videos out there but you don't know how to get it to the right people. It's going to be very difficult for you to reach those 8,000 true true fans. And so my favorite way at this time of this recording of reaching the right people is through Instagram ads and Facebook ads. And in the coming year I'm also going to be delving more into Google ads and LinkedIn ads. But if you can possibly do Facebook and Instagram ads, I find that to be the cheapest and the easiest way to reach our 8,000 each of our 8,000 true true fans. Okay, I don't even have to say true true fans really just true fans. Okay, you have fans and you have true fans right and then you have the rest of the world who don't either don't know about you yet or don't resonate with you and we don't need the whole world we just like I said, if you had 8,000 true fans, they're going to buy just about everything you create and or many of the things you create and that's much, that's more way more than enough income for semi retirement or retirement. Okay, so. All right, part of year one and year two very important I should mention is also sincere work on your joyful productivity habits. Because if you don't know if you aren't very skillful in managing your energy in in your and your time managing time is really managing your energy and your boundaries, your boundaries with yourself. And with other people and knowing how to prioritize and knowing how to act to act on your priorities in a calm and joyful and consistent way. So that's joyful productivity. So year one and year two, you should be sincere in working on your joyful productivity habits bit by bit, installing really strategic and good habits. And if you do that, you will be setting yourself up for calm, joyful focus in the lifetime of your business, which is very enjoyable experience. So year one, authentic content marketing and joyful productivity year two, you now bring in one to one services, meaning you are now open to working with clients on a one to one basis. Why one to one services because it's the quickest way to create to start creating a meaningful, authentic income. Right, there's, you know, there's hardly anything more meaningful than being with somebody and serving them with the skills that you so enjoy helping people with. In the year one of authentic content marketing you now have a bit of an audience, some of whom are probably interested, if not eager to work with you on a one to one basis because they've been seeing you on videos, if you can, or they've been seeing your writing or saying, hey, can I can I work with you one to one so one to one is is a really a great way to do it. I have a blog post called the tapering strategy for getting clients. So you might just want to Google that tapering strategy getting clients and you'll find my blog post about that. So that's probably my recommended way to start getting your first 50 clients. You might start with some clients that you are doing for working for free to get some feedback and testimonials in the beginning, but then you'll start getting paid clients as well so check that out that's year focus on on getting some one to one clients.  All right now you're getting you've gotten months or maybe even a year of working with one to one clients. Now year three, I recommend you create a group program. By the way, I should say that if for any reason, you are not wanting to work with one to one clients maybe you are a busy mother or father, and, or maybe you're busy care taking for for somebody elderly in your life or somebody else, and, and you have a full time job, or whatever that that prevents you from from having enough slots for one to one clients, then you can essentially skip to year four, which is online courses. But for those of you who who do have the time to work with one on one clients start with that first. And then in year three, add a group program, and maybe also start writing a book but year three group program what do I mean by a group program is basically a really good alternative to a one to one service. You should think of it that way really a group program is when when someone says, Hey, I would love to work with you one to one but maybe I can't do that right now. Well then you have a group program to offer them and a group program can be anything from where you show up, you know, twice a month on a zoom call and you coach your clients or your, your customers or students. Or you could do it as intensively as the way I do my group program where I show up get this. I have three Q&A calls just for my clients, every single week. Yeah, in my group program I have essentially three times four weeks in a month. I have 12 Q&A calls just for that group every single month. 12 just for that group every single month. Plus, I have another community call that if that I facilitate once a week in that group so essentially that group has the option of 16 calls a month with me, just for that group. So that's a very intensive type of group program, but your group program can be more casual, can be can be less time intensive for you and for them and that's maybe twice a month you have a group call maybe it's 90 minutes maybe it's two hours where you really serve them and one of the blocks for group program creation people say well, I know what I do one to one with people and I can really customize my advice and my service to them. But then how do I do that in a group. And that's where you I don't know your work as well as you do. So that's where you need to be creative and figure out how can I deliver my knowledge to to in a way where it meets many of the groups members, and then I can customize my advice in a group call to one person at a time that as I customized my advice for one person at a time, others who are watching that call or listening to that call are probably benefiting as well with chances are they are. And so in a group program you're going to start to get creative and figure out how do you then deliver your knowledge to multiple people at once. That's your job, that's your work, but it's absolutely can be done. I mean, because imagine. Have you ever read a book from an author and go, I have a question for this author and they need to answer me right now I need that to customize their advice me right now no you don't ever expect that. So think about a book, well a group program is much more interactive in the book because they get access to you on a regular basis. And in my group program I have a private Facebook group and I respond there almost every day, and you can have some kind of group where they can, they can message you and each other and say accountable stay motivated, etc. So group program in year number three, and possibly also at this point, start writing or publishing your first book. So year for you now add online courses and by the way for those of you who don't want to do one to one service you can skip directly to your for so called year for and do online courses right away and similarly to what I said before. Just like when you're reading a book you don't expect the author to, you know, respond to you right now when you have a question. And when you watch a video, right, like right now you're watching this video you don't expect me to and stop doing and stop talking and answer your question directly. Right, that's not realistic, most of you are watching this after I'm recording this right, many of you are watching this after afterwards so you don't expect me to drop everything on you got to comment I got to come. So online course is that idea where you deliver knowledge in a way where you record it. And knowing that many of the people who are going to be watching it later and reading your, your course document later, and they might, you might decide to offer them a chance to ask questions, whether in the course document by adding a comment or by coming to one of your live Q&A calls you might like I have a monthly live Q&A for my recent students. So online course, you deliver knowledge. Okay, and you can create many courses, and your courses can be for people at different levels of understanding. Right so online course is your, your for. And by the way, I have a blog post that goes into more details on these things so feel free to read the blog post to to find out more. And by this point, you now have several streams of income, you have one to one services, you have a group program, or more than one. And by the way group program I should mention could be a large group program, 100 people 200 people sometimes we'll call those membership programs, or it could be a small mastermind of three people five people 12 people in a group and you could have multiple masterminds going at the same time. And by the way group program be creative and how you structure that you can have a mastermind it's like okay, these five people are at this level, and those six people are at that level, and you can have separate masterminds that way. Okay, or a larger group program, and have different calls for different levels there. Okay, so now you have several streams of income, one on one services group programs online courses, and maybe even a book, or, or, or to. Year five. Now, year five you're ready to scale your business a bit more with ads, and automation. So let me explain ads is where you, hopefully you've already been doing some ads in year one experimenting with that but your five you really focus on building a bigger audience and you have to date a much bigger audience with with like Facebook ads or Google ads. And, and, and also year five you focus on automation so year five is ads and automation you're focused because now you have a system for income you have a system for one one clients group programs online courses and now you're now you can kind of take eyes off of creating those things so much and focus your efforts on scaling the sales of your courses, and automating more using my favorite software for automation zappier Z A P I are zappier. And I, I am a solopreneur, I don't have any assistance, I really don't. The only time I hire assistance, like on fiber is occasional like design a book cover for me, or process one of my audio books, which I record every once in a while. That's it and maybe some technical thing. But my day to day I do everything. And how do I do everything. I have more than, I have, I think getting close to or more than 20, I've definitely created more than 20 online courses not all 20 are available on my website right now. I'm selling multiple courses on a regular basis, and that's all done through automation, I don't, you know, it's, I don't fulfill each sale for sure it's all it's all done through automation, everything is connected and I just answer questions. As students have them or once a month in my call so year five is ads and automation year six now. And year six is really where I'm at now. Now you might say George, I thought you've been in business for 12 years I have, but I didn't create this 10 year I, those of you who know my story know that I kind of rebooted my business in around 2013 2014, because originally in 2009 I was doing business in a very mainstream way marketing was done in a very traditional way where it wasn't really matching my authenticity. And so I dropped all of that in around 2013 2014 and started over. Really since 2014 and 2014 got me, it took me a while to kind of start over and figure out what I wanted to do so 2014 2015 was really when I started again. 2014 2015 I started experimenting with authentic content marketing I didn't know what that was before I just really started experimenting so it took me two years to do year one 2014 2014 2015 was year one for me because I didn't know how to do. And of course I'm teaching that to you and a lot of you don't have to take two years to do authentic content marketing you could take one year to really learn it. So, anyway, year six is where I'm at now and training mentees training mentees to start to do more of the work in my business so now I've already been. I've already gotten several mentees several proteges who know my strategies well, and are, you know, I refer clients to them because I don't do one on one coaching anymore. And so I refer people on to my mentees so that's year six. And that's a great thing.  And year seven is where you can consider hiring an assistant. You know, whatever you couldn't automate in year five and six, you hire an assistant to help you out in year seven do the things that software cannot, and really only humans can. And year eight is larger joint ventures now that you have automation really systematized, you have your system going and doing well. Now you can scale up even more with larger joint ventures with companies and with bigger influencers to get your courses out to even more Well, year nine is systems documentation. So now your assistant and you are really focused on writing step by step your entire business process, step by step into documentation so that when your assistant leaves, not if, but when your assistant leaves your, your systems will always come and go. That's what I've noticed I have in the past hired assistants, multiple of them, they always come and go so you need documentation to easily train both written and video documentation about your business process to easily train people as they leave and new people come in. And year 10 is what I call kaizen forever kaizen is a Japanese word that means continuous improvement essentially right small, particularly small continuous improvement so you're always improving your systems, your processes, and your own skills, bit by bit by bit in a gentle and very doable way so kaizen forever at this point you are certainly, you can be semi retired because you got assistant or a team of assistants by this point, you've got you're really just doing the teaching, you might be you're still continuing to create some content to keep yourself sharp, and to add more value to your audience, but kaizen forever year 10 and onwards is just continuing to make the systems and by some point you get you do less and less work in your business because you are able to systematize and outsource more and more of it as software gets smarter and as your assistants get more trained and get better and now your assistant your main assistant maybe hiring others to help you out so by year 10 is where semi retirement is certainly not only possible but very likely, and you may even move more and more towards working just a few hours a week on your business on the most high leverage things that only you can do. So I hope this is helpful. And I hope you'll ask me any questions if you're stuck on any part of it I can answer briefly, give you maybe a tip here or there. And so let me know if this helps. I'm looking forward to your comments on this I hope this gives you a more realistic timeline and plan to really breathe and and I think this is very realistic for most people. So I like to, I like to teach authentic business in a way that's that's honest, not like some of the marketing experts to say oh six figures in 60 days. Yeah, if even if that were to happen for a tiny percentage of people it's not so this plan is certainly doable because I'm living it myself. So I hope this helps. I look forward to your comments and your questions. And until the next video. Be well, and continue to show up authentically and consistently and joyfully. Take care.


Hi everyone, Sean with jaspyscasebreaks.com here doing 2020 Panini gold standard football four box break pick your team number 20. This is a second break from a 12 box case, I believe. So this works, yeah so 1920-21 are all from the same case so this is the second four box break from this 12 box case. All card ship doesn't say that but they do and looking for some really nice stuff with big names on them. Here is our list, we got eight box there, we got to figure out which four we're going to do but here is our list. You can see there is a random number block that carries a considerable amount of teams, I believe seven was the final count. Did we have last spot mojo noted? We didn't but good luck to whoever it was. The break gods know who it is, don't worry. And here is the random number block for the chargers, bangles, dolphins, eagles, cowboys, broncos and lions. Last spot mojo JC there. So here we go. Dice roll, one two three for the box on the left, four five six for the boxes on the right. Good luck. That's a one. So we're going with boxes on the left. These are already marked with Xs or something see. So those will be for picker team number 21 which I believe is already in the store and spots are selling. I don't know if we have another case of gold standard, I don't think we do. So get your spots.  I haven't seen gold standard in a little bit so I got to remember how this is set up. I feel like that's a auto it is. I don't know why the front is turned around though. Good luck everybody. It's gonna be great. Bradley and I 11 out of 25 for the Dallas Cowboys which is random number block spot one, Daniel Massey, Trenavious White 46 out of 99, Buffalo Bills, Lucas Snow, Lawrence Taylor, good old LT, look at that haircut. That's how you keep it high and tight. 69 out of 199, Giants, Daniel Barone, back to back Giants, Daniel Jones, 120 out of 199, Daniel Barone. Nice gold strike, Devin Bush II, acetate auto, 29 out of 49 for the Steelers. Nick Nguyen. Who might be washed up? Turnabout LT? Say that to his face. Bet you won't Matt. Nice start, 16 out of 25, Jay Lynn Hertz, Philadelphia Eagles which is part of the random number block, spot six, going to Jesse Waverite. There you go Jesse. 16 out of 25. Congrats. And how about another nice one? 31 out of 49, two-color patch and out of Justin Jefferson. Minnesota Vikings, Justin Larson. I can't tell where there's, there's not. What do you mean? What did I, what did I say that made me sound like a charter fan that time? Anthony McFarland Jr., 17 out of 75 for the Steelers. I think you might be on a delay Matt, just an idea. Pittsburgh Steelers, Nick Nguyen, Devin Duvernay, 27 out of 99 for the Ravens, Michael B, Gold Rush, Relic, Marshall Falk, 28 out of 199. Jersey number, right? Marshall Falk was 28, right? Any, almost positive.  That's for Ricky J., nice motherload quad Relic, 183, sorry five-way Relic, 183 out of 199 for the Giants, Daniel Brung, Saquon, Herman Moore, Jersey and Otto, 17 out of 99 for the Detroit Lions, random number block, spot seven, Reed Pierce, Cole Comet, rookie Otto, one out of 199 for the Chicago Bears, Josh Stiles, another good rookie wide receiver, 38 out of 99, Chase Claypole for the Pittsburgh Steelers and Nick Nguyen again. Antonio Gandy-Golden, 27 out of 75 for Washington and Ryan Harold, Joe Montana, 16 out of 99, also Jersey number, 49ers, Guy Henderson, Josh Jacobs, five-way Relic, 183 out of 199 for the Raiders and Patrick Davis, another motherload Jalen Rigor, sorry, Miles Sanders, not Jalen Rigor, I said Jalen Rigor on the back, 111 out of 199 for the Eagles, random number block, spot one, 111 goes to Daniel Messi, nice, three-color Relic, eight out of 49, John Riggins, Washington, Ryan Harold, Boomer Seiss in Golden Age, Otto nine out of 25, for the Bengals, random number block, spot nine, Benjamin Johnson, nice, Jonathan Taylor, triple Relic, two colors in the middle, 29 out of 49, one off the Jersey number there too, Indianapolis Colts, Matthew Hedges, one seems thin, maybe we got a redemption? two frozen chunks of tundra, Curtis Weaver, 23 out of 25 for the Dolphins, random number block, spot three, goes to Jesse Waibright, Tommy Stevens, 26 out of 99, for the Saints and Kyle Dooch, Devonte Adams, 170 out of 199, he's pretty good, for the Packers and Matthew Hedges, Dual Relic, Henry Ruggs, Jerry Judy, 194 out of 249, Raiders, Patrick Davis, Broncos, random number block, spot four, Benjamin Johnson, so that's going to be a randomizer between those two teams at the end of the break, one happy person, one sad person, John Greenard, rookie Otto 186 out of 199, for the Houston Texans, and Christopher Lord, and Xavier McKinney, 175 out of 199, for the New York Giants and Daniel Barone, and last but not least, Kee Sean Vaughn, rookie Jersey and Otto 50 out of 99, for the Tampa Bay Buccaneers and Karen Steele, there you go Karen, congrats, okay we got one randomizer to do and that will wrap it up between the Raiders and the Broncos, let's go over here, remember Broncos are part of the random number block, so if that goes to the Broncos and it'll go to spot four on the random number block, which is Benjamin Johnson, if it goes to the Raiders then it'll go straight to Patrick Davis, so Dice Roll, team on top after a six and a three nine times, ninth and final time goes to the Raiders and Patrick Davis, so there you go, for the Las Vegas Raiders, so inside the top loader outside of the penny sleeve, let's make sure it goes to the right full owner and there you go, that was 2020 Pinini Gold Standard Football Four Box Break, pick your team number 20 from jaspyscasebreaks.com, I'm Sean, jaspyscasebreaks.com, thanks for hanging out, we'll see you next time.


the conclusion that most people out there, that the left will encourage and the right will not oppose but that most people out there will conclude from this. Well, you see, you see, you objectivists, you free market types. To get a vaccine, you have to have government. To deal with a pandemic, you have to have government. To deal with pandemic, no, no, you have to have government. You have to violate rights. You have to tax, you have to spend. And then because you shut down the economy, you have to stimulate the economy and therefore you have to have government. And at every level, every level, the conclusion is going to be, see the pandemic is just proof, and I can see this in debates that I'm gonna do in the future. See the pandemic is just proof that we need more government, not less government. And of course, think of it in terms of the average Joe or Jane or whatever. To them, it's much easier to imagine. It's much easier to see in their imagination how centralized governments can deal with the pandemic because they can look at China, they can look at France, they can look at other countries and they can see how it was done. But if I wanna argue, let's say if I'm debating a socialist, if I wanna argue, no, no, no, no, the market would have done this a thousand times better. Here's what a rights respecting government would have done. Here's how you would have handled it and we would have had no loss of liberty. And we would have handled all this much better and we would be richer in the process because the economy would have tumbled a lot less. That's hard to imagine. They've never seen it. And they don't really know what it looks like because how many people out there actually understand how markets work and how many people out there respect markets, admire markets, promote markets. And this is one of my big things about the so-called right, well, not the so-called the right, is they don't do markets good. They condemn markets just as much, almost as much as the left. They don't hail the beauty of the marketplace and how it works and how it provides solutions and how it deals with issues and problems, how it solves those problems. No, indeed, intellectuals on left and right, politicians of left and right, condemn the market so that with big tech, condemn the greed, condemn the profit motive and reject the idea that markets could solve problems like the pandemic. So what do you expect from the average person? I don't, you know, there's no way. There's no way that people can stand up to their intellectuals and say, no. How would they even know that there is a market solution to these things unless they listen to this show or they follow me on Twitter? So what we're gonna get is significant increase in statism. No matter who wins the election, we will get much more government intervention in healthcare as a consequence of COVID. No matter who wins the election, indeed, this election is, it doesn't matter. What's going on here is inevitable. And unless we get the ideas of freedom, the ideas of markets, the ideas of capitalism, the ideas of individual rights, out there, then it's hopeless because the people can't imagine an alternative. The people cannot imagine an alternative. It's only the intellectuals that can provide an alternative. And it's exactly the intellectuals who will not whether left or right, whether nationalist, conservative, or leftist or centrist who can't imagine an alternative and how markets could solve these kind of problems. I don't know what you, somebody says they don't agree with the scenario I'm portraying. I'm not sure what you disagree with, but the fact is that we are heading towards more authoritarianism, more control of healthcare, more control of people's lives, more tracing. Oh, this is the other thing that the conclusion will come to. Well, we need a better way to trace people. We need a better way to see who people met with. We need a better way to track people during a disease. We need better surveillance tools. Those Chinese have it down. Those Chinese know what they're doing. I did a show a while ago. I think the title was we're all China now. I think it was Rubio's speech about industrial planning and how we need a control economy much more, like the Chinese. I think China's winning. I think the Chinese model of authoritarian government, a fascist government that allows semblance of free, semblance of private property, semblance of free markets, some incentive to innovate. Oh, but that's what I said. I said government is the salute, is never the answer. It's always a problem. It's exactly what I've said, right? It's not an issue of IQ, give me a break. People always want to boil it down to simple solutions.  No, people can understand if somebody was actually articulating the message.  But my point is China is winning. People are willing today to trade safety for freedom. People are willing today to trade the knowable for freedom. Why take risk? Why have it on a certain future? It reminds me of this engineer in China in 2004 when I asked him if he's upset that he couldn't vote, that he didn't have any political freedom. He said, look, as long as the economy grows every year and my quality of life and standard of living goes up every year, voting is not important to me. Well, I think that's true in the US today. As long as I don't get COVID, as long as you can secure me a minimum wage, as long as maybe we have a universal basic income, as long as you give me the things that I need, as long as you provide me with my healthcare, who cares about political freedom, free speech, all these abstractions? What have they ever done for me? And that will not be the fault of the common man. That will not be the fault of the so-called people who don't have a high enough IQ, because that's BS. It'll be the fault of our politicians. It'll be the fault of our intellectuals. It'll be the fault of our philosophers, our thinkers, and it'll be your fault to the extent that you don't do what you need to do to give these ideas a hearing.  It'll be the fault of anybody who does not speak up and yell from the top of the mountains. Now, what is this deal with shoes? For the shoe, shoe fund, for the shoe? What is, I don't get it. I'm missing something. I've missed something in the chat. There's a whole fundraising campaign going on. Happy to support you, Ron, Brooke's shoe. I don't get it. What did I say? That it's prompted a fund to provide me with... I am barefoot. I can't show you, I guess, because my feet are way down there, but yes, I am barefoot, but if you buy me shoes, I'm not gonna wear shoes. Why would I wear shoes? Was it a typo? Oh, it comes out of a typo. I thought it had to do with the fact that I said in one of the previous shows that I do these shows barefoot in shorts, right? And that I only wear shoes once a week when I go to this one restaurant that requires shoes. Otherwise, I wear sandals, but okay, I guess it was just a typo for the show, not the shoe. All right, got it, got it, sorry. My imagination went in all kinds of directions, obviously. But we raised some money for the shoes. That's good. And these are pretty cheap shoes. We're probably looking at flip flops, right? If you want me to buy real shoes, you're gonna have to put up more money than what you put up so far. The shoes of Liberty, I like that. Shoes of Liberty, a thousand bucks a piece. That's what's gonna be required here if you want real shoes, right? A dollar 99. You know, flip flops. You guys are not serious. This is how freedom decays and how we lose our freedoms and how we go silently into the night because you guys will not put enough money into the shoe fund. So I am, unfortunately, quite pessimistic. I am pessimistic about the ability of this country to recover not from the pandemic. I mean, that's gonna be tough enough. Not even from Trump, not from, you know, the bad response to the pandemic. All of this is, I think, is doable. The thing that really scares me about the inability of this country to recover from is the wrong conclusions people are going to come from the pandemic.  Much scarier, much, much, much scarier than COVID, much scarier than Donald Trump is the loss of freedom that we are gonna suffer because of the wrong conclusions people come to as a consequence of this pandemic. And it's something to be on the lookout for. It's something to fight against. It's something to be aware of. It's something not to stay silent about. We must keep speaking, speaking out against statism, about any kind of statist conclusions that people come to as a result of this pandemic. All right, you know, I've got a serious topic here and you guys are making me laugh. So we've got a $25 bid now towards the shoes, I think. What we need today, what I call the new intellectual would be any man or woman who is willing to think, meaning any man or woman who knows that man's life must be guided by reason, by the intellect, not by feelings, wishes, whims or mystic revelations. Any man or woman who values his life and who does not want to give in to today's cult of the stare, cynicism and impotence and does not intend to give up the world to the dark ages and to the role of the collectivist brought. All right, before we go on, reminder, please like the show. We've got 163 live listeners right now, 30 likes. That should be at least 100. I figure at least 100 of you actually like the show. Maybe they're like 60 of the Matthews out there who hate it, but at least the people who like it, I want to see a thumbs up. There you go, start liking it. I want to see that go to 100. All it takes is a click of a thing, whether you're looking at this. And you know the likes matter. It's not an issue of my ego. It's an issue of the algorithm. The more you like something, the more the algorithm likes it. So if you don't like the show, give it a thumbs down. Let's see your actual views being reflected in the likes. But if you like it, don't just sit there, help get the show promoted. Of course, you should also share. And you can support the show at yourunbrookshow.com slash support on Patreon or Subscribestar or locals and show your support for the work, for the value. Hopefully you're receiving from this.  You'll know what shows are on, when they're on. You'll get notified, right? So yes, like, share, subscribe, support. Like, share, subscribe, support. There you go. Easy. Do one or all of those, please.


So we're set up tomorrow a lot of good value, a lot of premium value, especially in beta, especially in technology. Welcome to Access a Trader, the number one community for those who are committed to taking control of their trading in order to achieve success, profitability and longevity. Thank you for joining us. Here's Dan Shapiro to help you find your edge, master your process and own your future. Hey guys, good evening everybody. Welcome to another edition of the Access a Trader.com. We can up the show. Hope everybody is doing well. We can up the show. Today is Wednesday. Okay, this is how tired I am. Today's Wednesday. Hope everybody's doing well. Freudian slip, hope everybody's having a good trading day. So let's talk about the market. Obviously, as you can see or anybody can see has been active participant in the market or even passive investor in the market. You can see how strong the market continues to be, bad news is good news, good news is good news. Great news is greater news. And the Fed officially for the 38th consecutive Fed meeting just reiterated that the economy is strong enough to slowly but surely start taking off the training wheels and stop slowly but surely buying that aggressive amount of mortgage backed securities that's been doing for a long, long time. Now again, we've been hearing this for a long, long time but they really, really mean it this time. Again, as everybody knows, the global economy has not recovered yet from the pandemic. The fact that they believe that the economy is even in its infancy stages to kind of start taking off the training wheels is incredible but again, we'll take their word for it for the 39th consecutive time in the Fed meeting that tapering will start soon, right? Really, really soon. Other than that, technology continues to be strong. Earnings for the most part have continued to be strong. The one curveball that got thrown today was Roku. They announced after the close, we'll get the individual pivots in a second. It took out the lower Bollinger Band and on earnings got pretty, pretty aggressively hit. On the other side of the spectrum is the Teflon stock of the R generation. Tesla, it cannot do any wrong no matter what it does, right? They try to sell it off yesterday, they bounce it. They try to sell it off today on the bottom range, they bounce it, they shot euphoria and it's tush and it took out the previous days high, traded open to the 1230s, came back down. Successfully tested the 1203 level after hours and now it's pretty much back to flat on the day. You got semiconductors continue to go crazy. You got Amazon woke up today with some pretty aggressive call buying towards the end of the day. You can see this really, really big move that's opening up to one more day potentially getting above a pretty decent supply zone to start taking it higher. You got Apple completely reclaimed all earnings levels. Nobody even remembers that the stock missed their earnings and even names like Cisco, which I really, really like old world names that are continuing to kind of get out of channels and tomorrow if it confirms it'll start as high. So again, we are really, really set up for the end of the year. We've been talking about this pretty much every single day, every dip above the 50 day moving average needs to be bought and it is being bought on every single level whether institutional level, micro investor level, macro investor level, whatever the case may be and the narrative hasn't changed. You see speculation money all over the place. You see stocks that were not memes turn into memes. You got people chasing stocks all over the place. You got good news seems to be embraced better than ever at all time highs. And now the question is how long can the market rally? Let's really not even dive into that area right now. Let's just enjoy it, right? Let's just definitely enjoy it. The market is obviously very, very bullish. Like I've been saying for the last three, four broadcasts we have very, very good and aggressive continuation on retracement. You get continuation, money flow in every group in technology, in financials, you got Goldman Sachs breaking out. Look how strong some of these banks are acting really, really well. So you have all the dynamics set up for a fourth quarter rally and until we start getting really aggressive evidence that there is a buyer strike, there's technical damage that's about to be kind of incorporated into the market. Again, you have to give the market the bulls to benefit it out. Every dip needs to be bought. Every short continues to get trapped on their 60 minutes support. And the moral of the story is this is a rinse, repeat cycle. The only question is how much value can you get every single day? If you look at today's session before the Fed came out, again, there was a lot of teetering, right? There's a lot of names that were continuing to kind of relax a little bit. You had Tesla relaxing today before the Fed. You had names like Apple and names like coin bill before the Fed, TDOC strong the whole day. And you had a lot of names kind of teetering and once the Fed news is kind of out of the way, resumption of strength must close green, must close at all time highs and must spill over to the next trading session. Now the key again, and this is a constant nightly reminder, the key again every single day is not chase the names into strength, right? Again, the breakout on Tesla was 715. The breakout continuation on Tesla was 807. The continuation, continuation of all time highs was 900. The value continues to be in dips and you can see this every single day. Yes, are you getting the rocket launchers after two, three o'clock? Absolutely, but shorts continue to get trapped and that is kind of the game plan, the blueprint of what's happening these shorts and getting run over every single day. And again, our job is to find the stocks that are coming off the bottom of the channels. Again, a lot of times you could turn around and play devil's advocate with technical analysis. You could play devil's advocate of what do you think is gonna happen if this situation arises? Again, all we're doing is just again, really just riding on the magic carpet like everybody else on Wall Street is and hopefully it continues as long as possible but we have to be fiscally responsible every single day on any new entry, on any single scenario that we are looking at because again, we will get pulled if you are chasing anything sky high in the nose bleed section. Remember, the least amount of damage is jumping from the first floor. The highest amount of damage in severed heads and broken body parts and broken bones are happening from the higher floor. So again, don't trade from the higher floors, be trading from the bottom levels and there's a lot of names that are looking really good tomorrow and tomorrow is setting up for a really aggressive premium session. Like I said, I love Cisco. If you could just start reclaiming this $58 level this thing could really wake up. You got Zoom, really good consolidation. Remember, this is a bottom channel. We're not chasing Zoom up here or up there. I'm watching Zoom down here. If you could just take out this whole macro channel this thing can wake up. Look at TDOC, same kind of group as Zoom, the stay at home names, right? The whole pharmacy online. Look at the channel that it's one day away from reclaiming, really good channel. Again, it's coming from the bottom. It's not coming from the top. That looks really good. Amazon, look at Amazon. They came out with earnings. They missed their consecutive quarter. Today's candle engulfed three days worth of selling including the earnings missed. If they could start reclaiming today's channels tomorrow maybe we could start pushing higher. We saw 3,400 weeklies. We saw 3,700 monthlys come in today. There was a really good aggressive buying coming in on Amazon, hopefully that spills over. A name like QS that's been going absolutely out of its mind. This is another name you want to buy on Dips. They came to the 32 weeklies. They started coming for the 35s. I believe if this thing starts going down in the morning on light volume, perfect candidate to buy into rising support for a push red to green ultimately into this $33 rest area is for a supply. So we're set up tomorrow, a lot of good value, a lot of premium value, especially in beta, especially in technology. And if everything confirms that everything works out the way we plan, we should have a pretty good session fingers crossed. Let's talk about today's pivots, right? Let's talk about today's pivots. Fogel, I really liked this channel. It didn't do what I thought was gonna do. Fubu 34 needs to build, not a big move at all. Not a big move at all here. Took out the 34, went to like 3450s and stuff. Nothing big here. I still like this channel. This is still the highest close in this whole formation. But I figured if Fubu takes out this whole channel here or really should have an expanded move, it didn't do that today. Maybe we'll do that tomorrow, assuming if there's aggressive option flow. Speaking of option flow, AI, we talked about that. The previous session, 46 needs to build. They were coming literally one after another, the December $55 calls, one after another, after another and AI exploded. Alan Iverson did the crossover, right? On the shorts, took out this whole 46 level and it's traded all the way up to the $50 level. I still like it. I think this thing goes higher. Common denominator, stock is coming from the bottom ranges. That's the whole point. Any dip tomorrow into rising 60 minutes support. This is a great candidate to buy the dip on. Another name, AMAT. 141.60 needs to build. Really good looking, semi-conductor chart. It took out the 141.60, traded up to 43.30s. I still like it. If this thing confirms this 45 level, this thing potentially can have a really, really big run and it's future, but nice move there. TOST, put up like a $2 move. It opens below 66, valid area. Put up like a $2 candle and then it just gave everything back. Clack triggered and then never confirmed. BBBY did nothing of the sort. I was looking for a possible day to run on one of these mean plays, never happened. It sold off the whole day. Cisco, I really, really like. Workhorse, I still like, didn't confirm that level. Car, nice move on car for experienced traders. Only 307, if it builds below, can flush. This was yesterday's runaway train. Everybody was chasing it and blah, blah, blah, blah, blah. So it took out the 307 level, traded all the way down to the 288 level. It probably goes lower, but again, there's really not a lot of value there left. Let's see what we have here. AI going nuts here. Deck 55 calls going absolutely berserk. Givo, not a big move at all. Only went up like 810 cents. Nothing sold back off. Netflix, I like. It closed right at the top of the chain. It looked good. It still continues to look good. Oh yeah. Oh, I missed, I missed, I didn't miss it. Okay, let me reiterate what happened. When Tesla was selling off this morning, I want to show you guys, and this is how sometimes you overthink. I didn't miss it. I messed it up. So check this out. So you see this bottom channel here on the 60 minute. This is a bad tick, right? You see this bottom channel here, right? 1153, okay? There was 1153 remount and there was an 1150. Since the 1153 was so close to 1150, I said, you know what? Let me be safe and sorry. Let me not take the 1153 remount. Let me take the 1150. So what does it do? It trades down to 1152.60, and all it did was put up a $60 candle, right? This is sometimes when you overthink, overanalyze, try to get cute, yada, yada, yada. Yeah, I don't think I want to use the word I missed it. I messed it up. So again, I know a lot of you guys got it. Unfortunately, I wasn't one of them. Cisco, I really, really like. We bought the bottom dip there into the bottom range. I still think this thing needs to get above the 58 level for the next move up. Roku, again, here's the big move for all you guys who quad it, 303 big level. If it builds below, can flush. Roku got absolutely destroyed into earnings. And so we are set up for tomorrow.  Don't overthink. Again, like me, don't get cute on a bottom bounce. If it comes, take it, goddammit, especially with Tesla. They're coming for the $2,000 calls. They're coming for calls all over the place. Don't overthink price action, what matters. Levels, the only thing you need to think about and trade with conviction. Guys, have a great night, everybody. God bless, and I'll see you all tomorrow.


Hi everyone, Sean with jaspyscasebrakes.com here doing a 2020 Panini Prison Football one-pack cello break, Random Team number 105, where we're giving away five spots in a full case impeccable football break coming up. We're also giving away four spots in this break itself to anybody that bought in for the first 28 spots. So 32 spots overall, everyone gets a random team in the NFL, no vet, common ship. At the end of the break, we'll randomize all 32 customers' names. Top five names each win a spot in the impeccable full case. Like I said, we only sold 28 spots, so here is that list from Mark Rao down to last spot mojo Bennett Page times two. Dice roll, top four names after a five and a four get extra spots in this cello pack break. So five and a four, nine times on the randomizer, top four extra spots in the cello pack, more chances to win as well. Ninth and final time, top four is Bennett, Sean, Andrew and Nicholas. You can see down at the bottom nine times on the randomizer, nine times on the dice. Your top four, Bennett, Sean, Andrew, Nicholas. So you guys have extra spots in the break. So let me add you on here. And here is that full list now with the original, the new spots added on with the little rooftops next to them to show that those spots were one. So from Nicholas back up to Mark Rao and the first spot purchased, new dice roll for the break randomizer for the pack. That is a four and a six, 10 times. Good luck. First on the names. Tenth and final time from Jarrett Corfage down to Bennett Page. What's up Oliver? How are you man? And 10 times on the teams. We've already warned him not to listen to anything you say Rex. Tenth and final time from the Jets down to the Giants. So we're not going to read through the full list, but we'll go through some of the highlights 10 times on the teams, 10 times on the customers, and 10 times on the dice. There you go. So we're not going to read through this. No trade window. We're not going to read through the full list, but we'll go through some of the highlights. Here is so this is 2020 Prism. Packers Jordan Love for Andrew Roth. You've got the Chargers and Justin Herbert for Nicholas Buccello. Dolphins to Otagovaloa for Evan and Bengals. Joe Burrow, Nicholas Losis. Where are the Eagles at as well? Did I see Eagles already? Philadelphia Eagles, Thomas Rodgers. There you go. So let's print this out. Bennett, here's a little link for you to learn about it. It's frequently asked questions. It'll teach you all about what we're doing here. Back over here, here's that list and the cello pack for the break. It's the same person Rex. Don't be surprised. Cool. So here is the cello pack and you can see the impeccable case right behind that that we're going to be breaking after we give away the last five spots, right? I always do two wrecks, but that's why I just go to the fact of ignoring instead. The one thing they hate more than being wrong is being ignored. Kenny Golliday, Green Brilliance for the Lions and Bennett Page and Joshua Kelly, not the Herbert we're looking for. Curtis Martin for the Jets and Jared Corfaugh, Joe Montana for the 49ers, Tom Lee and Kyle Duggar, Patriots, Sean Maddock. More impressive part is the prep work he probably put into this, where he probably created a bunch of accounts so that he planned on getting banned on all of them tonight. So now the point of the break itself, giving away those spots. So here's that customer list again from Mark back down to Nicholas Buccello with the spot that he won, plus Bennett, Sean, Andrew, all spots that they won there. Remember, it is the top five names each win spots in the impeccable full case break. Here's our full list dice roll top five after four and one five times top five after five. Good luck guys. Fifth and final time. So five times on the randomizer, five times on the dice. Here you go. So Sean, sorry, first person out, but special thanks and congratulations. Bennett Page, Corey Conozeko, Tom Lee, Nicholas Buccello and Nicholas Buccello. There you go. Top five in five times randomizer, five times on the dice, top five names. And there you go. That was 2020 Panini Prison Football, one-pack cello break, random team number 105 from jaspyscasebreaks.com. I'm Sean, jaspyscasebreaks.com. Thanks for hanging out. We'll see you next time.