Well, very excited for this panel. We have a lot of esteemed guests here. I think just to set the stage here, would be interesting to work through this panel as let's present the work that's being done and then present almost the shape of the problem or the shape of the public goods and comments problem. And then I think we have a great audience of people here who are very well versed in mechanism design and have worked through some of these things themselves. So I think it'd be good to essentially let's display the shape of the problem, bring some of the approaches that have been done so far. And then I would put out to the audience to kind of like talk to us after about where areas where you've seen solutions to this or things that should be tried that could potentially push this work forward. All right, so with that, could we get everyone here to just quickly introduce yourselves and then provide a quick description of the kind of like commons learning programs that you're working on, what are you trying to achieve? Just help us set the stage and get up to speed here. I'll toss it to Molly first. Sure, hi, Molly McKinley. The learning program that I can talk about today is the PL Launchpad program, which is a six week onboarding program for new hires to the PL network. We actually have run I think five cohorts of this at this point. We initiated and ran our first pilot in November of last year. And really what we're trying to achieve is ramping in more new talent, new ideas, new people into the PL network of companies. We're really not looking at this from a single organization perspective, but looking at it across all of the many teams that make up this kind of aligned and collaborative ecosystem. And how can we train onboard, connect and match talent to the best place for them within the network and doing that kind of on a repeated basis so that we can kind of build up culture, build up knowledge and also build up all of the teams across this network that are desperate for amazing new talent to help push their ideas forward. Everybody, I'm Kartik, I'm one of the co-founders of ETH Global and ETH Global started as an organization with the goal of getting just more developers into building Web3. So it started out with just if there was specific smart contracts and then just expanded to be beyond just smart contracts alone. So we have a lot of elements of other Web3 components and infrastructure that are out there. And kind of as we did these events which were primarily hackathons and workshops for developers, we kind of noticed that there's a large gap between the self-selection that happens for people who are already interested in kind of coming into this space and they're just finding the other people that are in the similar interest and kind of showing up in the same place to work with them. And that sort of got us to a point where we were seeing so many people on the sidelines that were just kind of consuming a lot of these tutorials online because they were recorded. And we kind of noticed a lot of the differences between people who were attending whether that's because they were readily in the location that we were doing events in or were able to catch up online. But the difference between people who were attending the events versus people who were watching what comes out of the event was about 30X. So every thousand people that showed up, 30,000 people were watching these exact developer tutorials. And we kind of noticed that we're still leaving a lot of room on the table from being able to attract and understand why we're not able to reach that audience. And that led us to kind of build something called Eat Global Guides which we're kind of currently testing and launching. And that's a way for people to learn all the same things just on their own pace without kind of committing to being at a place where I didn't get the time. Hey everyone, my name is Pooja and the project that I can talk about today is called Radius. It's a project by Tefra Labs which is a company that's building infrastructure for large scale human coordination. And Radius started as a project because we were recognizing kind of as Molly mentioned, you know, this just dramatic need for really skilled talent in a number of different web three ecosystems and wanting to provide some of these connecting opportunities between people who are looking for, you know, working web three and getting their career started to actually matching into ecosystems that need talent. And so Radius, what we really believed in project-based learning kind of similar to, you know, the hackathon approach. And so one of the things that we found to be really interesting is that when people are working on projects that are grants from various different ecosystems, they have kind of a, you know, enough runway to actually traverse the learning curve into the ecosystem that they're working on. They build relationships with core developers in those communities. And it becomes like a really powerful way for them to kind of like, you know, the first element that snowballs into future projects and maybe even jobs or companies that they wanna start in the ecosystem in the future. And we're also supplementing that with a content library, you know, from across many different ecosystems and a fellowship program as well to help people who are like really just the very beginning of their web three careers. Perfect, thank you. And I guess my next question and just start evolving this a little bit is, I think the easy version of this question is like, why do you think that education is kind of like a public good's comments? I think like, we can all agree that it's very important for so many reasons. I'll ask that question, but you know, in particular, you know, what is it that's so important for like your ecosystem or your particular project and like, how do you approach it as like, okay, well, in some ways it's a resource allocation and we can do a million things. Why is it so important to, you know, allocate the resources that you need and what does it really mean for your specific ecosystem in particular? I can describe about the kind of like, public good aspect of things. Like, why is this relevant to this audience or this format? I think you can, you know, look at countries and how countries invest in the learning of their population, things like public libraries, things like public access to knowledge and education as a thing that equips their environment, their community with resources that then can help them compete in a global marketplace, generate new inventions and innovations that improve life for everyone around them. You can kind of make the same analogy to a community or a network that also wants to level up the capability of all of the people in the network, bring in new talent effectively to help grow the total amount of things that you can achieve. And so that same kind of like, public good of investing in public education is relevant at the ecosystem or community or network perspective. And so that is a public good that's available to many that then levels everyone up, benefits the whole network and community. And the things that at least in Launchpad we think are super, super important. We kind of break it down into three main categories. There's the core technical learning. Do people have the technical knowledge and capabilities who are, say, coming from web two into web three where they know how to build a website on IPFS? They know how to run a Filecoin node. They understand how these technologies work under the hood and they're ramped up pretty quickly in coming from a different environment to here. Then there's kind of the community knowledge network connections for us that's forming mentorship relationships between core implementation developers and the people who are gonna be maybe committing PRs or trying to make improvements to those things. We use mentorship as a part of that. We also introduce people into the how, of how things get done in open source projects and communities. You attend triage sessions for how are we prioritizing all of the different feature requests or bugs within these open source projects. And so really connecting people into a network. And then finally the third pillar is culture. Making sure that as we grow these networks and communities we maintain the gravity within the community that holds people together. Where it's like, yes, we are aligned. We care about emission and values and things that help us collaborate and work really effectively together and we build all of those strong bonds and relationships as an onboarding cohort so that we have the affinity, the friendships, the connections that mean we are a unified community even across many different companies within a wider network that might be focusing on very different things which then really helps with long-term collaboration, like long-term feeling of yes, I'll go out of my way to help my neighbor. And so those are kind of the three main things that we focus on. I don't think I can do better than that. But it's a very kind of similar answer that I have to and the way I would phrase our decisions you kind of go about doing this was from a timing standpoint which is we started about five years ago. And that's when you couldn't really find anything online. Part of what made ETH Global become a thing was that we really thought this was going to be the best thing ever for as a developer and we just couldn't find anywhere from dedicated efforts to kind of bring more devs in, to have kind of other communities form. And just more generally, like we didn't have enough good actors in there because if you were to go back to 2017 and look at any news on what's going on in this space there was way more negative than positive stuff. So we said, hey, we think there's way more potential here and what matters is people doing good things and starting that type of community and ecosystem takes sometimes decades. And kind of the best thing to do that was, hey, let's make sure that we have an effort around bringing more and more people in and just getting that going and maybe the fruits will pay off like 10 years from now or five years from now. But what matters is somebody focusing on this. And the approach kind of we took from there was that when you are in a world where anywhere from the programming as you're building on is evolving on a weekly basis, anytime somebody does something, whether it's a blog post or a tutorial or a video, the thing gets stale quite fast. And you had all these scenarios where people would look at something whether it's a YouTube video or a blog post from somebody else and try to make that work and run, they couldn't get the basic things working. And our approach was to make sure that we're fixing the freshness issue first and then use that to actually compliment and make that a lot more widespread. So that's kind of how we thought about it. Where this kind of ends up doing is fitting in is that overall it ends up making it easy for people to actually try things before they in a way understand if they wanna buy it. The most common thing and the average profile of a global attendee is that they're about to quit their web two roles. They're all developers and go into web three and they're trying to figure out is this like actually real? Can I actually think about having a career in here? And if so, what are the nuances? If I'm especially on smart contract side, what changes here, whether it's a framework of how I should think about coding things or how different things work from a state standpoint, all these things are just not obvious until you're actually doing something. And because we're also dealing with money for a lot of these cases, you don't wanna find out that you missed something on production. There's a lot of irreversible consequences for these types of scenarios and these events become a way for you to experiment. And as we kind of do all of that through these kind of sandbox experiences which were hackathons, we said, hey, we think there's a lot more room to kind of make that even more sandbox and go into guides, which lets you understand how something would behave on production if you were to deploy and you use that to learn and get the confidence to actually make that jump. Yeah, I think, yeah, also just sort of tying back to the original question as well around like what makes this a public good? I think there is a really, there's clearly a gap in the market today, right? Where there are companies and organizations and ecosystems that really, really need skilled talent. And there are huge numbers of people. I mean, I think EVE Global has seen, I don't even know, it's probably like hundreds of thousands or many, many people go through these different programs because they're looking for these, like upscaling opportunities effectively and trying before they buy into a space because they want to enter and get access to these work opportunities down the road. But there's kind of a, companies don't necessarily, companies want to buy skilled talent. They don't necessarily always want to invest in like the onboarding and training that's necessary in order to take someone who has like all the raw ingredients but needs a little bit of that before they can be really effective in an organization. And so I think some of these programs like fill those gaps. And I think it's really interesting because they're clearly, really, really valuable. There's clearly a ton of need for these things, but they are difficult to think about, you know, how will these get funded? And the beneficiaries of these programs, which are talent and companies that get to benefit from skilled talent, aren't necessarily the ones that are supporting these types of activities longer term, right? In the case of ETH Global and Launchpad, these are like funded by ecosystems that are just really generous and know that this is a need and are willing to put funding behind it in order to support these programs. So I think it's like clearly a public good and also has kind of a common funding issue as well, which would be really interesting to dive into, but the value is like sort of undeniable. Yeah. I think you're doing a very good job moderating by that leading question there because that's something I'm super interested in exploring here is, you know, we've talked about there's a lot of value, you know, both tangible and intangible, whether it's through community and just like onboard, you could see the metrics of like, I am onboarding more teams who are building more on my ecosystem and are therefore creating value that is cashed in some way down the road, but it strikes me as there are, some of that is very intangible, some of that is not necessarily, you know, contained with an ecosystem, somebody could go to, you know, through my training system and go to another ecosystem, for example, and also it's a very long-term play. It's, it can be multiple years before people are getting up to speed and really contributing back into the ecosystem. So I guess where I'm going with this is to just point, how do you plan to fund, like how do you set up the right funding structures for these programs, and how do you make that sustainable on the long-term, whether that be, you know, exploring new ways to, like, capture some of the value at the end, you know, allocating parts of the community, resources pool towards these things? I'd like to hear about the different approaches for each of you, especially I think there's different stages with Pooja, you are starting up a very kind of, like, high-growth effort now and are at, like, different stage than perhaps protocol labs in Ethereum, so I'd like to tease that apart a little bit as well. Yeah, I mean, so far we haven't explored all of these things yet. Right now Launchpad is being funded mostly entirely by protocol labs. We sponsor all of the people who go through the program and when you think about, like, the success metrics or why sponsor all of this, it's the collective growth of the network in terms of humans and in terms of capability is kind of like what we're being measured on from, like, a value creation standpoint. So, you know, how effectively do we onboard new humans into the network? What is the sorts of impact they are able to do how quickly in the teams that they match with or the teams they onboard onto? And, you know, then collectively as a network, are we creating more impact and if so, great success. That is, that's worth funding the learning program that then creates that down the road. We're probably only in the early days of, like, actually being able to, like, measure and quantify that. You could definitely, we've thought about, you know, future experiments that we might do that we definitely have not done yet, which is something along the lines of, you know, for the talent that Launchpad brings into this wider network, you look at kind of the long-term careers and pathways people might take between different projects they work on and then some fraction of the total impact that they create as evaluated by the impact of their various teams as evaluated by, like, the performance reviews they might get within those different teams gets attributed back to Launchpad as an early training and onboarding program that, like, set them up and matched them to a team where they were successful and you could then imagine every team that they flow through getting that same, you know, recognition for investing in their growth, helping, you know, apply them to really useful problems, helping them find their next opportunity and that creates kind of maybe also the incentive for every group to, like, be cheerleading someone as they go long-term within a network. We haven't yet explored that right now. We're still at the early days of building a really amazing program that people love that managers also can, like, hardcore thumbs up and be, like, my people accelerated into the network more effectively thanks to this program. I got net new talent that's able to jump into the problems that I was facing that I wasn't able to find people to fit these problem areas and they are capable and they are, you know, a great contributor to my team and they're bringing all of the connections in the network to these problems as well. And so, really, we're looking right now at, like, you know, how, what is the efficacy of our learning? What's the efficacy of the overall network impact that the people go through our program? But we're, you know, on Monday is when our 100th person joins a Launchpad cohort, so we're still super early. From us, like, the way we think about this thing is that ETH Global fundamentally kind of behaves like a marketplace, which is we are facilitating a handful of actors in the system and kind of helping them achieve their goals. You have what we call contributors in our, in our kind of network and you can look at our chart, there's multiple types of contributors, you have a speaker, mentor, judge, hacker, just an attendee who's just kind of looking to see if this is something they want and they kind of go through this engine of different products, whether it's a hackathon or a summit or guides or just anything else that we're going to do in the future and that sort of creates more outcomes, so whether it's a project, some of these talks, workshops, and that sort of creates more contributors at the end and kind of the engine works by just kind of repeating that loop so you end up amplifying and all of that kind of happens directly toward a mouth. And kind of the way we think about all this thing is that we know that the engine is working for the one product that we have figured out, product market fit on, which is the hackathons and everything that we do ends up supplementing the engine from giving us the flexibility to try more experiments. So when we think about our guide side of things, the goal is to say, look, we already know this process and this loop works, can we get people to now be more involved as one of those contributors? So whether it was a speaker who recorded a 40 minute tutorial on YouTube, can we get them to actually write and help contribute to a guide that's now written which has slightly broader reach, is way more measurable. We can understand who actually finished it. If they're kind of doing that on our website, we get to understand, okay, after they finished this thing, we actually saw them apply to this hackathon which was offering anywhere from a prize to a talk about the project they just kind of did a guide for, and that helps kind of amplify that loop. And for us, the thinking is that we kind of care about the educational piece and the content itself being public goods. We don't have to think about making the money because sustainability works from the other product that we do a product market fit on. But there are ways to figure out a way to capture value in the end if we actually get to scale. And right now, the actual number we get to track is that there's about 200,000 to 300,000 people that are actively watching our developer tutorials and we have no way to reach them. And we think it's a confidence thing which doing these guides instead of kind of committing to like a week long or a week and long hackathon which is intimidating kind of helps offset. And if that loop works, you have a way more opportunities to think about anywhere from career change to job boards to giving out grants or rather just more specifically just redirecting them to other parties who can do this much better than us. We don't have to own everything of the stack and we wanna make sure that people are coming in from the right side because we care about curation. And especially when you look at people who are going from web to web three, they are mostly trying to understand what is noise and what signal and we wanna do with the best job in making sure they have the first best grade impression in web three. Yeah, I think like probably a common model for a lot of these different types of projects will be like leveraging the sustainability of another project or system that has achieved product market fit and has a sustainable business model and taking some of the proceeds from that too and putting that into other value generating activities that aren't necessarily like revenue equivalent generating activities is probably a fairly common approach and is practical and I think makes a lot of sense. I think for the way that some of what we've been thinking about also is just, I think web three is very unique because of this idea of community ownership of projects and that also representing financial value as well. And so I think one thing that's like very, something that could be really interesting is imagining ecosystems that are benefiting from these types of programs that maybe do have their own protocols and tokens and et cetera being able to contribute those back to in some sort of split stream and this is like becoming from companies or organizations not necessarily the people who are getting employed or working on these projects but being able to contribute that back to some sort of treasury that is managed by these projects and that in a way becomes kind of like an index, like these programs can become an index on the value that they're generating in different ecosystems because they're, you know, these really amazing people who are contributing a ton of value in those ecosystems will eventually, ideally it's kind of indirect but the protocol layer for all of those ecosystems will appreciate because of the effects of these programs and so it kind of, you can then start to see how these programs can become like indices of the ecosystems that they're indirectly creating a lot of value in much down the road. So I think that's like something, like the way that what we're doing with radius is kind of like trying to be the end point for a lot of these educational journeys as well and so we've been thinking about that as one of the ways in measuring the success of what we're doing is really just, you know, taking just contribute, people who are working on these projects are paid in the tokens for the ecosystems that they're contributing to and us being able to capture a small portion of that value or the protocol being able to capture a portion of that represents the value that, you know, again, indirectly these ecosystems have seen from the people who are doing this work. I think some of the other interesting models which are, some of this is like, has already been piloted in Web 2 and I don't honestly think they've really taken off but I think, again, Web 3 could be an interesting, there's like much more natural ways to implement some of these things with like smart contracts but this idea of like income or revenue share agreements and that, you know, we've seen, I think, analogs in Web 3 like split streams and just being able to like drip proceeds from some group that is able to receive funds to like the people who've kind of contributed value down the road and that just being kind of an automatic like programmable way to capture value back to people that contributed a lot of value and the value chain in the past. So I think some of those models could be really interesting to explore for these different programs too, but. Yeah, it's super interesting how there's a common theme of like there's an understanding that's like if you build an ecosystem, the ecosystem itself will definitely be great, more value is created by these education systems than is like put in so many ways. So it's always a balance of course between trying to measure everything and I won't say financialized but creates completely objective measures of this versus if the community believes strong enough that there is intrinsic value of this that there's clearly been and demonstrated continued effort, whether that's resources and time or monetary resources, keep on going into this. So it's a very interesting case of, do you need to tie in like a strict quantitative measurement of it? Or is it enough that this is something that's like very much agreeable and needs to continue? I feel like the issue is that right now the best we have is a retroactive way of assessing with something impactful and I think all of our approaches here are in a way trying to make that more proactive so that we can measure in a way like if this funnel or is converting and if so like how? So I feel like that's probably the framing that I think of which is we know that there are people that do these things and they're somehow coming to one of our websites to kind of be part of whatever we're doing. How do we know where they're actually coming from and can we make that number bigger? Yeah, I mean I'd highlight the, I think we're all in like experimental approaches right now like we're iterating every six weeks and doing like changes to this onboarding program. And so we do need enough metrics that we can understand what's working and what isn't. And like looking at that from like a network perspective of like well are people learning what we kind of hope they were gonna learn? Are they matching to grants or jobs or coming to future hackathons based on kind of the work that they do in this program? And we need kind of like a gradient there by which we can improve. But I think we maybe have a, we'll have a much better perspective even further in the future to look back on the value that was generated that we can't necessarily see all of it today. And I think it's like it's clearly a stage here but there's a lot of exciting stuff going on here and there's also a lot of challenges. So the remains I'd be interested to explore like what are the things that you find are particularly interesting or where you're seeing traction you're particularly excited about this like new concept that you're exploring? And then maybe what's one thing that if you were to ask somebody in the audience or somebody who's watching this where they could really help you solve a problem or a challenge you're facing? I mean for us the cohort nature is something that I think is working really well maybe working even better than originally anticipated like we have a cohort of folks are all onboarding at the same time and we get them together in person for a week around some wider event that the ecosystem or community is having which then allows you to have strong bonds within a cohort and also stronger bonds like with cohort alumni or other people in the network. So that's working really well for us. The thing that I would love help or advice on is as we think about trying to like widen the funnel of people who can participate in Launchpad and scale the program over time we'd initially had the hypothesis that to kind of convince people to take the leap from web two to web three you really needed to offer full-time employment that was something we've been seeing from a recruiting perspective at Protocol Labs and as we try and scale the program that leads to this challenge of what offer do you give people upfront that's not going to then constrain where they might match or constrain whether or not they want to match to a full-time option. Maybe they wanna go forth and do radius or maybe they wanna to jump to other areas and so we're now experimenting with a eight-week contracting offer which is like contract to hire or maybe you just do this as a learning program and then jump to doing grants or other things. So we're super still exploring there and I'd love to talk to people who have ideas about how we can maybe do that more effectively or experiment with even other solutions for scaling. Sure, he's the type of thing, but... Um... So, ETH Global Guides is on guides.eathglobal.com and we're kind of in the phase where we're just getting a lot of bugs out so a few people using it, we're getting ready for our next talk with Protocol Labs so we hope to kind of have a few hundred people try to break it. Our kind of thinking back then was, and I'm back, it was a few months ago was, the hope that if we kind of make things a lot more interactive, people get to actually try and then understand some of the fundamentals and see how things connect to each other and then kind of went to a few developers and especially kind of most of our attendees to get some feedback and also to a few protocols that are out there and I think that sort of just totally surprised me was the developers were kind of largely indifferent in terms of like, oh, this is great because most of them were on the intermediate to advanced stage so this kind of first only attracts a lot of the beginners which is great because that's what we're focusing on but every company and protocol that I talked to said, hey, we actually have this basically half-assed or just collection of links that we send to all of our new employees and this is how they learn how some of these things even on our protocol works or what kind of the general web three ensure that they need and we would love to convert some of our internal notes to this format so they can actually provably and kind of follow a whole step to kind of catch up and they're like, hey, can I convert my internal team notebook or our internal Wiki to this and that's sort of which is very counterintuitive because I'd never expected that to be the answer and that's in hindsight now very obvious because all the people that are coming in are coming in from web two and largely they're not somebody who's been in this space for a few years and making the shift they're kind of jumping right in and they need to catch up on a lot of things and there's so much nuance in all of this that it takes time so that's kind of one thing that I'm like, this is interesting and we wanna sort of make that a lot more open so the thinking here is that anytime we do any of the content on guides the content itself is gonna be open source anybody can come contribute to it they're called guides because we want them to be very simple and quick we don't wanna make it a course you're not learning how to do a full thing from beginning to functioning some NFT kind of marketplace like these are not academies or courses you do something super quick and then they are composable so you can use that as a prerequisite for another guide and kind of branch off in any direction you want and the fact that this is open source as content lets anybody kind of update, maintain, contribute and fork from it and I think the way people can help is basically come and contribute content like we are giving attribution to everybody and most of the comments we've gotten is I did this blog post two years ago I wanna update it can I just make it on this format so now I can also see the benefits of who's consuming and who's falling through these guides one of the things I'm most excited about for both of your guys' projects is like the portfolio nature of it where like you can build up kind of like a knowledge resource that's your past work that is either from a grants format or from like here are the nuggets of like learning tutorials and other things that I've done and so I'm very, very excited for that gonna try and figure out how we can get our launch pad folks to make use of both of those platforms and portfolio building things because in a long term learning journey that is very valuable for like both looking back and for the wider community as you have a long term career between many teams and I wanna quickly throw it over to Pooja where I think we're out of time but I would love to hear your answer on what is really exciting and like what is something that the audience can do to help you out or the fun in the comments community can more generally help to like contribute for you. Yeah, for sure. Yes, I think that just quickly to touch on the traction piece because it might be inspiring to some folks is really this model of the first project that someone works on that they're paid to do can be such a powerful catalyst for all the things that happen afterwards and we've seen that time and time again where people will get their first opportunity and they'll really do a great job because they treat it with so much care because they know that it could be this like foot in the door for everything that comes afterwards and then word of mouth spreads they did a great job and they are connected to so many people and it kind of like gets them their next gig and potentially their next job and that's like been such a powerful effect so it's really like how do we close the gap between what do they need in order to get that first opportunity is really the critical thing and then you can really trust that a lot of people will be able to take it from there but that's been something that we've seen has worked really well and has been really cool to see. In terms of like, yeah, where I think the portfolio and profiles and reputation I think we sort of label all of this as reputation how do you build up this holistic understanding of who someone is, what they are interested in, what they know, what they want to do and then be able to use that to kind of help surface relevant opportunities to them and I think doing that in a way I think there are a lot of people in web three right now who think about this problem and are approaching it from really different sometimes very opinionated angles and I think figuring out for us we would love to figure out how do we do this in a really collaborative way so we don't end up with siloed views of a person where really what you actually want in order to help set someone up for success is this like holistic view and so very excited for the collaboration opportunities to. Thank you. We need a notion of transfer credits. Yeah, between all of our programs and dual membership between all of them as well. Amazing, well thank you so much. I think we're gonna wrap up really quick. Eugene, we'll toss it over to you but thank you to all our panelists has been very interesting. Also, Pooja is hosting a workshop later this afternoon if you're interested and there's more details on that outside. I won't touch you too much but thank you again. Thank you. Thank you. Thank you.


Hello, everyone. My name is DJ Layon. I'm responsible for database and application development with the Secretariat of the Northwest Atlantic Fisheries Organization. It is my pleasure to demonstrate an application I developed so that onboard observers can record retained and discarded catches. Just a quick background about NAFO. NAFO is an international regional fisheries management organization. The regulatory area is located east of Canada and the U.S. and directly south of Greenland. In 2019, 47 vessels caught 74,000 tons of regulated species. The market value of these catches was around $360 million U.S. dollars for 300 million euro. Now for the presentation agenda. I'll start with the purpose of the observer app and then I'll give you a demonstration. Near the end of the demonstration, I'll show you the species identification process and then how you can measure a specimen in a photograph. The purpose of the observer app is to confidentially record observer information without the use of the flag state or vessel software or email. The app is designed for offline usage and very low satellite interest speed. The app has successfully trialed at sea. The current phase of the project is to provide a secure website for the observer's quality assurance manager. This new website will list all catches that have been uploaded from the observer app. The next three slides will briefly describe the main information recorded by the app. Every time the fishing gear is set in the ocean, the observer logs where, when, and what gear was used. When the fishing gear is hauled on board the fishing vessel, the time and location is recorded. Most importantly for each haul, the weight of retained and discarded species is recorded. Now I will demonstrate the observer app with screen captures. The observer app was designed for a small handheld device. At the top of the home screen shown in this slide are the three main menu buttons. For the purpose of this demonstration, I will highlight the screen captures with the dashed pink oval. When the fishing gears hauled on board the vessel, the observer will simply select the haul gear button. Rather than a long form of many data entry fields, the application uses a questionnaire approach for recording haul information. For each screen, detailed help is provided with a guided tour button in the top right hand of the screen. The guided tour feature narrates step by step how to use each area of the screen. When hauling the gear, the first question is what date and time was the gear haul? In the left screen, the observer enters the location where the gear was hauled out of the ocean. Based on the observer's preference, the latitude and longitude can be entered in decimal degrees or degrees, minutes and seconds. Once the location is entered, the observer selects the continue button. In the right screen, the observer enters the ocean depth of where the gear was hauled. Based on the observer's preference, the depth can be entered in meters or yards. In the top left screen, now the observer enters the discarded catches by selecting the add discarded button. In the top right screen, observers choose from the list of frequently caught discard species. In the lower left screen, the list of frequent species is configurable by selecting all species and then toggling the frequent on-off button. In the lower right screen, the observer can select VME button and then select from a common list of VME species. Now for the species identification with a still camera. If the observer is unsure of the type of discarded species, the observer selects the unknown button. Then, the observer uses the device's camera to capture a new photo or choose a previously captured photo from the device's library of photos. The list of available photographs in the device's library is filtered based on the time and date of when the catch was hauled on board the vessel. This will limit the number of pictures to choose from. The minutes or hours since a haul's time is displayed below each photograph, for example, haul time plus X minutes. When a photo is selected, a copy of the photo is created and then the file size is significantly reduced with a file compression library. When the observer's device detects internet connectivity with the vessel, the catches and associated photos are uploaded to the NAFO secretary's computer network. The NAFO secretary will provide a secure website with the observer's quality assurance manager. This website is at a scope of this presentation. What is in scope for this presentation is a secure website with a species identification by an expert reviewer. An expert reviewer will log into a secure website. The hope is that the expert reviewer from one of NAFO's 24 member flag states will help identify the species. Observations are listed with the current count of identifications made by other expert reviewers. The reviewer will select the identify species button. The expert reviewer will now see a photo of the discarded species. The catch location is displayed on the map. When the expert reviewer starts to type the specimen's homin or scientific name, a list of suggested species names appears below the inner text. The expert reviewer has the option to view the full description of the species on the iNaturalist.org website. Now for the measurement of a species in a photo. For the crew safety in the urgency of returning a species to the ocean, the website provides a feature to estimate the measurement of a discarded specimen in a photograph. Step one is to open a photograph from your photo library. Step two, in the photo, enter the known length. For example, in the photo, 50 centimeters between the ridges of the rear wrap. Step three, with the most pointer, draw a line over the known length in the photo. This line is displayed in red. Now finally, step four, with the most pointer, draw a line over the discarded specimen in the photograph. The length of the specimen is automatically estimated with calculations based on the relative length of the second line when compared to the known length of the first line. Thank you so much for the opportunity to present. For more information, please email me at dlaycock at daffo.it. Are there any questions?


So, let's talk about data compression. And we measure the amount of information in a unit called a bit. A bit corresponds to the answer to a single yes or no question. This is actually too small a unit to be very useful, so we tend to group bits into larger units. 8 bits form as a byte. 1000 bytes forms a kilobyte. Sometimes we use the fact that 2 to the 10th power is very nearly 1000, and some definitions will say that there are 1000 and 24 bytes, so the kilobyte, the difference is actually too small to be relevant. A million bytes forms a megabyte. Again, we might use the fact that 2 to the power 20 is very nearly 1 million, and so we'll have an alternate definition for what a megabyte is. A billion bytes forms a gigabyte, and so on. Well, now let's consider what a picture looks like. So any image is going to be divided into some number of pixels. This is a contraction of the term picture element. For example, if you're looking at a standard computer monitor, it might have a display size of 1024 pixels by 768, and that's described as 1024 by 768. Well, let's take a much smaller 8 by 8 screen. So maybe my screen looks something like this. So here are my picture elements 8 by 8, and if I want to specify a picture, what I'm going to do is I'm going to specify the colors of the individual pixels. So with my great artistic talent, I'll put down some details, maybe some grass, throw in some sky, maybe add a little barn here, put a roof on the barn, sun's there, cloud, a couple of cows, and there's our nice picture. So now the important question is how do we want to store this picture? And so we'll do that by playing what we call the game of data retrieval, and we're going to play this in the following way. There's going to be a bunch of things out on the table, and you can write down as many yes or no questions that you'd like, as many questions that have as their answer, either a yes or a no. I'm going to pick one of the items, and you get to ask me any of the questions that you've written down, but you're limited to just those questions. So you have to use a little bit of ingenuity to come up with the right questions to ask at the beginning. Now your goal is to identify what I've picked using as few questions as possible. So for example, let's play this game on our picture. So here I'm going to take this picture, I'm going to break it up into its pixels, I'm going to dump all the pixels onto the table, and I'm going to pick one of them up, and your goal is to try and determine the color of the pixel. So let's think about the types of questions we might write down. So what questions do I ask? Well, one possibility I might ask, well, is the pixel white? Again, this is a yes or no question. And if I write this down as one of the questions I can ask, you can ask, then this is a question that you can either get a yes or no answer to, and use this information to determine the color of the pixel that I've chose. Well, we could also ask, is the pixel green? Is the pixel brown? And again, the idea is that you're going to write these questions down beforehand, and the only questions that you'll be able to ask later on are the questions that you've written down. Now if you're looking at a typical image file, the color of each pixel would be specified by asking a sequence of 24 questions. If you've ever looked at something that says that there's 24-bit color, what it's referring to is the fact that the color of a pixel is determined by these 24 questions. And so what that means is that if I wanted to specify the colors of every pixel in this tidy image, this 8x8 image, I need to ask 8x8x241536 questions, and so the information in this image would take up 1536 bits of space. Now it's worth thinking about how big this is. So if I take a typical picture, the way that a motion picture gives the illusion of animation is that it shows a whole bunch of pictures in rapid succession. So typically what you're seeing with the motion picture, you're seeing about 24 pictures per second, and each picture is going to have around 2 million pixels or so, and each of those is going to have a color value that's specified by a 24-bit number. And so that means that one second of a movie is going to require 24 by 2 million by 24 bits. That works out to be about 144 megabytes per second of a movie. And if I look at a two-hour movie, that two-hour movie is going to require on the order of about 1,000 gigabytes, which turns out even at the high density that we can store today, that works out to be about 20 Blu-ray disks. Well, when I go down to the video store and check out the Lord of the Rings, it all fits under one disk. So the question is, how do I take this 1,000 gigabytes, these 20 Blu-ray disks, and fit it onto one disk? And the answer to that comes from the art of questioning. So here's some basic principles of asking questions. First off, don't ask questions you already know the answer to. So we might have the question, is the pixel brown? But we already know that for this particular image, the answer is definitely going to be no. So there really isn't any point in asking this question. One of the more important principles of asking questions is whatever answer you get. You should be able to eliminate many possibilities. For example, we might ask the question, is the pixel white? And we're going to get one of two answers. If we get a no answer, the problem with a no answer is that it only eliminates one possibility, namely that the pixel is white. So a no answer only eliminates one possibility. So this question, is the pixel white, is not really a good question to ask. Instead, we might consider a different question. For example, we might ask, is the pixel white, green, or yellow? And the advantage here is that if I give a no answer to this, I've eliminated three possibilities. Namely, I know the pixel is not white, not green, not yellow. So the no answer eliminates three possibilities. And also, if I get a yes answer, then I've also eliminated a bunch of possibilities, in this case four, because I know that the pixel is white, green, or yellow. Which means I know it is not going to be red, or black, or blue, or purple. So this is going to be a good question to ask. So given that, you might think about what the first question to ask should be, what question is going to eliminate as many possibilities as possible? And if you look at the picture and think about this a little bit, you realize the best first question to ask is, is the pixel blue? Because if I get a no answer to this question, I've eliminated all of these blue pixels up here. I've eliminated a whole bunch of possibilities. And that's about as good as I'm going to get for my first question. Well, what about the rest of the question? To answer that, we go back to 1951. And in 1951, Robert Fano at MIT gave his class an assignment to find an efficient way of asking this type of question. And Fano himself had invented a fairly standard method of doing so, which was known as Shannon-Fano coding after Claude Shannon, one of the founders of information theory. And one of his students, David Huffman, did something that every good teacher hopes for, just to say that his student found an even better way of doing things than Fano himself had known. The result is what's called a Huffman code. And it emerges as follows. Suppose I have a park, and imagine that I have several entrances, but only one exit. And at each entrance, what I'm going to do is I'm going to put something that represents each of the colors. And there's a crowd of people there. And the number of people in the crowd is equal to the number of pixels of that color. So if we go back to our image, we see that there's 30 pixels that are this sky blue color. There's 20 pixels that are green. There's four pixels that are red. Four that are white, three, two, and one. So there's a bunch of pixels of each of the different colors. And so all these people are going to enter the park, but there's only one exit. So all these people are going to have to exit the park in some fashion. And so we'll have everyone walk towards the park, and we're going to use the following rule. At every stage, the two smallest crowds will join up before they proceed to the exit. So what does that mean? Well, so the two smallest crowds here are this two-person crowd and this one person all by him or herself. So they'll join up and they'll form a three-person crowd. Now, again, we'll take a look at the two smallest crowds here. This is a three-person crowd. Here's a three-person crowd, and these are all larger. So we're going to take these two crowds and we're going to join them up. And again, we'll take the two smallest crowds. Here's a four and a four. So they'll join up.  These two are the two smallest. They'll join up and this crowd of 20 and the crowd of 14 joins up. And then finally, this crowd of 30 and the crowd of 34, they join up and that's everybody and they all proceed out to the exit. Now, what's useful here is that this park map actually allows us to form the questions that we can ask to identify the color of the pixel. So for example, if the pixel is blue, then I can determine that by asking just one question. Is the pixel blue? And if the pixel is blue, I know that I'm going to go on this path out the blue exit. And if the pixel is blue, one question is enough to determine it. Well, what if the pixel isn't blue? Well, suppose the pixel is, for example, white. In order to determine the color of the pixel, I'll need to ask four questions. Now, my first question is, is the pixel blue? And if the answer is yes, I'm out the exit. If the answer is no, I go down this branch. So is the pixel blue? No. So then I'm going to ask, well, I have this choice, either I go down this branch or I go down the other branch. And so my question is, I'm going to ask, is the next, is the pixel green? And again, if it's green, I'm going to go down this path, but the answer in this case is no, so I'm going to go down this path. And once again, I now have a choice of two different paths I can go down. And so I want to ask, is the pixel red or white? Do I go this way or do I go this way? And I ask, is the pixel red or white? And the answer is yes. So that means I can ask the next question. So I know the pixel is red or white. I know it's going to be someplace down this branch. I come down to here and I have to ask one more question. Is the pixel red? In which case I go this way, otherwise I go this way. And so here the answer is no, if the pixel is not red. And so that tells me that I have to go out this exit. And so I'm dealing with a white pixel. Well, let's take a look at how many questions we actually need to get all the pixels in that picture. Well, those 30 blue pixels, I can get those colors by asking one question. Is the pixel red, blue? The 20 green pixels will actually need to ask two questions. Is the pixel blue? No. Is the pixel green? Yes. And I go out this way. How about the red, white and purple pixels? Well, let's see. So if I want to get a red, white or purple pixel, I ask, is it blue? There's my first question. No. Is it green? No. Is it red? Or is it red or white? Yes. Is it red? Out this way or out the white exit? On the other hand, is it red or white? No. Takes me this way. Is it purple? Yes. And so that requires a total of four questions. And then finally, the two gray and the one yellow pixels down here at the end, those I have to ask a number of questions to get there. And in those cases, I have to ask a total of five questions. Is it blue? No. Is it green? No. Is it red or white? No. Is it purple? No. Is it black? Either yes or no. And so I need five questions total to find the colors of those. And altogether, I'm going to need a total of 109 questions. And that means I can take my picture and compress it down to 109 bits. Now originally, I needed 1,536 questions, 1,536 bits, but I can get every color in that picture in just 109 questions. That's a reduction of 93%. Now, there's other methods of data compression. This is just the various mirror introduction and there's several different ways I can improve that data compression. I can use what's called psychovisual compression. And that comes from the following. If two colors look the same, they may in fact be different. But if I can't tell the difference, I can code them the same way. And this is the basis of GIF compressions. We could also use what's called lossy compression. And we use this all the time. When I write LOL, that conveys a very broad range of possible reactions, but it gets across the basic information. Lossy compression is how JPEGs work. We can also use what's called spatial and temporal redundancy. And this is based around the idea that in a movie consecutive frames are very nearly the same. So the only thing we actually need to record are the differences between successive frames. This is how MPEG compression works. And so using a variety of compression techniques, we're able to take something that should take up a huge amount of space on disk and compress it down considerably. So instead of taking 20 or so DVDs or Blu-ray disks, I can compress the Lord of the Rings down into a single three disk set.


Going on everyone, Sam here with late sports cards, ripping 22 tops, five star baseball hobby, eight bucks, case break number 23, random team stylers, looking at your random results. As always, you can find these on the website under the results tab as well as the Lincoln chef. So good luck here, everybody. So we got in case number two, the Tigers rookie auto, got this team is pretty cool. Going to Max B, how about a big hurt 17 out of 40, Frank Thomas for the White Sox. Nice one there, a little bit of a color match kind of. Good way to start the break right there. Silver Sigs of Frank Thomas. Oh yeah, who's the man, dude? Blue Jays Frank Thomas, Best Frank Thomas. We've got Rookie Auto Josh Lowe. Nice one there for the race. Nice one here for the Mets. We've got Peter Lanzo on the five tool Phenom insert auto, 14 out of 25, there you go Mets. That's Bob, nice one there buddy, sweet polar bear. Got Rookie Auto for the Philly, six out of 25 is Luke Williams. That's Philadelphia. A nice one right here going to Nam Q with the Reds, we've got a Johnny Bench. Johnny did not sign it in the right spot, but still we love Johnny Bench anyway. One of the best catches of all time. Josiah Gray, 32 out of 50, here you go Carl. How about a base auto Chipper Jones? There you go Carl, congrats buddy with the Braves. We'll take that nice chipper, there you go man, beautiful card right there. Grats Carl, that's awesome dude, get on the phone with Johnny Bench's people, should. This one here we've got Jake Berger for the White Sox, this one's so cool, it's got this theme. Going to Regina A with the Yanks, how about 9 out of 15 CC Sabathia on the Game Use Patch Auto, Captain Crunch Legend CC Sabathia, that's sweet dude. Congrats on that Regina, awesome card, love me some CC back in the day, World Series Champion CC Sabathia. Trash. Please. In his prime you would have given your left arm to have him on your picture Very true, very true, it was nasty, then he got back. Brian De La Cruz, rookie auto for the Marlins, there you go Vaughn. And going to the Yanks again, 17 out of 20, Bernie Williams, second Bernie we've pulled today. Congrats on that again Regina with the Yanks. I think we might be out on most stuff here dude, we've got a ton of orders coming in. Geez thank you guys, geez man. Redemption Rony, that is Sonny Gray, 40 out of 40, the Reds, Silver Signatures. Redemption, 5 star base autograph of Julio Rod, back to back Briggs with a J-Rod.  Let's go dude, that's awesome. Awesome, there let's go dude. We'll take 2 J-Rods, nothing wrong with that. Won't get a complaint out of me. Metz Rookie Auto, Patrick Mazzica, nice one there. And last card of the break, 60 out of 75, going to the Red Sox, Jason Veratek. Nice tech, Brian N. Didn't force it, he dropped the puck out there or something. That will do it for the break, thank you guys again for the fill. Next up we have Top Scrone Black.


Hello family, welcome to another Narc Survival Live video. Very very difficult to find a quiet place without anyone around. So this is pretty much as good as it gets. I'd just like to apologize in advance for all of the noise that will be coming very soon in this video. I'd also like to say happy Valentine's Day and I hope that you enjoy this day wherever you are. You may be just waking up if you're on the west of North America or you may be coming towards the end of the day if you are in Asia. But wherever you are, I hope that you're going to enjoy your Valentine's Day or that you have enjoyed it already. And I hope you don't experience too many problems from the narcissist because as we know around this time of year, after Christmas and new years, Valentine's Day, any kind of special occasions, it definitely stirs up a lot of instability within them because as we know it, they can't enjoy these kinds of things. So yeah, just try to be careful, especially when you're dealing with the narcissist on these types of occasions. But yeah, in this video, we're going to be talking about what is the narcissist's worst nightmare after they leave you. The narcissist, or rather what they would prefer is for them to leave you and then they go off into a better situation than when they were with you, or at least if they can portray it in that way. Whereas for you, you're left in a worse situation without them. That's typically their preference when they do leave you. So their worst nightmare is for them to go off into a worse situation after they leave you where they're with someone who is less attractive, maybe has less money, maybe has less things going on than you did. But not only that, for a double blow, their worst nightmare would be for you to be in a better situation after they have left you. After they have already counted you out and treated you as being less than them, treated you as being no good to all washed up, you're beneath them. And then out of the blue, suddenly you come back bigger and better than ever before.  That is the last thing that they want to see. And another reason why that's their worst nightmare and how they look at it is that if they can move on and then they're in a better situation without you, and not only that, but they can leave you in a worse situation, then they hope that that's going to give you a lot of time to where you're constantly going to be ruminating about them and wondering what they're doing and where they're with and who they're with without you. That's what they're hoping and expecting to happen. And that's why they typically want to leave you in a pit of misery before they're gone. They want to leave you with nothing.   Yes, that would be the ideal situation. And that's why they try to orchestrate it in that way because that is the type of situation that they're trying to create. That is exactly what they want to happen. So that is the narcissist's worst nightmare. The narcissist's worst nightmare is most definitely for them to leave you, and then they end up in a worse situation, especially if you are aware of it, especially if you know fully well without a doubt that they will be going off into a worse situation with someone who has nothing in comparison to you. They're nowhere near as attractive. They've got nowhere near as much money or ambitions, just someone who is just not even on your level, not even a fraction of the person that you are.  And not only that, but they can't hide it. They can't manipulate the situation to get you to see it in a different way. And instead, you just see it as it actually is, as they actually are. So in many ways, a narcissist's worst nightmare is for you to be no longer subjected to their manipulation and gaslighting. And instead, you're able to pull the wool from over your eyes and see things as they actually are. Because a narcissist's worst nightmare is the truth. The narcissist's worst nightmare is reality. And how you know that that is true is by the extent that they go to manipulate and gaslight you. If they were friends with the truth, friends with reality, yes, if they were friends with that, then they would want you to see the truth and see reality. But no, they do not want you to do that. And the reason why is because truth and reality is against them. It makes some luck bad. It makes some luck completely inferior to you. And that is why they have to manipulate and gaslight you and orchestrate a situation to make it appear as better than it actually is. Yes, that is why they have to do that. Some narcissist, they really couldn't care so much about what they're going into or getting into. They're not really that bothered if they're really going off into a worse situation. Even if it is a situation where it's with someone who's less attractive, has less money, just has just a completely worse life altogether. They're not even that bothered about that sometimes. What they're more concerned about is if they can orchestrate it in a way where they're able to manipulate you and make you think that it's better as long as they can get that reaction out of you to where it complements their false image and it makes them feel better about themselves. Because remember, the narcissist is not concerned about the truth or the reality of the situation. They're not concerned about that at all. All they're concerned about is the reflection that they're going to get back from you about themselves so that it influences how they feel about themselves and then they can get their narcissistic supply. And that's why they always have to be two steps ahead of you so that they can get that feeling, they can get that emotional reaction out of you so that it distorts their minds and helps them to detach from reality so that they can exist in this fantasy world where they can feel like they are superior to you even though they already know fully well that that is not the truth and that that is never going to be a reality for them. As long as they can get that emotional reaction to where they can feel like in their minds that is the case, then that's good enough for them. And in many ways, once they've already built up that hatred and resentment towards you because they feel inferior to you, they will quite happily leave you and go off to a worse situation as long as they have that situation to where they can use it to manipulate and gaslight you and to think of that as better than what they had with you. Because if they can do that then they can still get their narcissistic supply and that's all that narcissists are really concerned about. It's all just about their supply. It's got nothing to do with the truth. It's got nothing to do with reality. It's got nothing to do with what is actually going on in their lives. They just don't want to be vulnerable. They don't want you to see the truth. So they want to portray their situation as being better than what it actually is. Because in a lot of ways their worst nightmare is for you to see it as it actually is. But even then it's not so much that they're concerned about how you see it as it is what that does to how they see themselves. Because all a narcissist is really concerned about is how they see and feel about themselves. Everyone else and everything else we are all just mirrors to reflect something back to them. As I've said before, narcissists are imprisoned in this world in their minds with a population of one. It's just them. It's nowhere else. We are all just pawns on a chessboard which they move around to create their desired effect. And that effect is not for you. It is for themselves. They are the star of their own movie. But guess what? They are also the co-stars.  Because they're actually playing that part as well. And not only that but they are the director of the movie and they are also the audience. So they're directing a movie that they start in and co-star in only so that they can watch it. And they're watching it in real time as it is actually playing out. So that it produces the desired effect for them. As crazy as that sounds that is exactly what is happening. That is exactly what is going on. It's all just a movie that is playing back in their heads. As they move us around like pawns on a chessboard so that it reflects something back to them about themselves and then they can get their narcissistic supply. So of course their worst nightmare after they leave you is for things to get better for you. And for things to get worse for them and for you to know about it. Because of course that's going to prevent them from getting their hit of supply. It's going to prevent them from being able to regulate their own emotions through you. Those emotions that they can't regulate themselves. It's going to prevent them from being able to do that. And that is why they have to manipulate and orchestrate the situation to produce their desired effect and their desired emotion for themselves. So this is their worst nightmare. You being left in a situation that steadily improves after they're gone. While theirs deteriorates and gets worse after they leave you. Yes that is the last thing they want to see. But even then it's not so much that it has anything to do with you. Remember it's still just all about them. It's always all about them. You are just an object a means to a means for them to use to make themselves feel better about themselves. You're nothing more than a tool. You're just an appliance to regulate their emotions. You have no other purpose other than that. And that's the only purpose you're ever going to have in a narcissist world. You're never going to be valued or appreciated. You're never going to be seen as anything else. They're never even going to view you as a separate person with your own feelings and needs. It's always going to be all about them. And that is why this is their worst nightmare. For you to leave and for things to get better for you. For you to move on into a better situation where you may meet someone else. You may get married and have a family and be happy without them. And that's typically why they will try to prevent that from happening. To where they will try to sabotage your progress and prevent you from healing. They may smear your name. Try to isolate you. Try to prevent you from finding someone else and beginning a new relationship. Not because they care so much about you. I mean, yes, they may be jealous. But even then, that's because they're very insecure about themselves. Because they can't regulate their own emotions from within. And they need that narcissistic supply. So they need to feel like you're just completely stuck on your own. You've got no end no support. You've got no hope in a future without them. And then they can feel better about themselves and their situation. Even if their situation is actually better without you, it doesn't even matter because they can't even feel it. They could have all of the money in the world. They could have mansions around the world. Superjets, super yachts. They could have the perfect partner, the perfect family, the perfect everything. It wouldn't make a difference.  Because no matter what they have, they can't enjoy it anyway. They can't be satisfied. It's never going to be good enough for them. So that is why even though it may look like they have a better situation after they have left you, they will still come back to try to destroy you. That is why they do that. And I want you to know this so that you can be better able to protect yourself. Because yes, even though it may look like they've moved on, they found someone else. They're happier now. That doesn't make a difference. They can't be happy. They can't be satisfied. They're still going to seek to destroy you because you could actually move on and develop the things that they can't and feel the feelings that they can't experience, which is going to affect how they feel about themselves. And it's going to prevent them from getting the narcissist to supply and regulating their emotions through you. This is the narcissist's worst nightmare after they leave you. Here comes the noise. There is nowhere that I can go to find any peace or quiet. I do try my best. I drive sometimes for hours, but wherever I go, people will gather. Of course, from my hundreds of live videos, you should be used to it by now. But anyway, I hope I've given you some good energy, some good vibes in this video and some food for thoughts. And you can show your support by giving it a thumbs up down below. It will help to get this message out there to other survivors as well. And let me know your thoughts in the comment section. I'm reading your comments every day. If you'd like to donate, you can leave a super chat or a super thanks in the comment section where you can go to my PayPal. It is paypal.me.com and hit that subscribe button, click all notifications so that you will be notified when I upload a new video. And if you'd like to book a one-on-one coaching session with me, you can go to my website. It is knocksurvivor.co.uk. And you can also follow me on Instagram. It is knocksurvivor YouTube. All right, thank you all for joining me on another knocksurvivor live video. I do appreciate you all. And I look forward to speaking with you in another one very soon.