Building resilience to health misinformation in local communities, a public and academic libraries partnership in San Diego County, California. Our objective is to mitigate health misinformation and build resilience to it in the local communities of San Diego County, California, and our project is a collaboration of public and academic libraries in the county. Our strategy is to share reliable health information and support health information literacy. We use a multi-pronged approach that includes information sharing, training and events, strategic partnerships and community engagement. Our collaboration is through San Diego Circuit. Circuit is a consortium of two public and four academic libraries in San Diego County. Our association serves academic users and the general public of over 3.3 million people. Circuit has historically focused on an interlibrary loan service among members. Additionally, our libraries regularly collaborate on strategic information initiatives. In 2021, the San Diego County Board of Supervisors declared health misinformation a public health crisis. This declaration acknowledged the negative impact of misinformation on health awareness and choices during the COVID-19 pandemic. San Diego County has launched a campaign to counteract health misinformation and build our community's resilience to it. The campaign includes a strategy that aligns with the Surgeon General's recommendations for the problem. Public libraries will support the county's campaign by developing health information programs and building community resilience to health misinformation. This effort directly aligns with the public service mission of our academic institutions and public libraries. In the early stages of our work, we found that many university, regional government and community groups share our focus on promoting health information literacy. We recently kicked off the project work in January 2022. Therefore, this project briefing will describe our preliminary work, specifically our planning process and our style of collaboration. Let's look at some background details on health misinformation. Misinformation is false or misleading information contradicting the best available evidence. People may unintentionally share misinformation. Therefore, it is different from disinformation, where people intentionally spread false information to deceive others. For examples of health misinformation, the CDC has outlined common myths and rumors about COVID-19 vaccines, which they disprove with facts. The CDC has another webpage that counters health myths about cholesterol. Health misinformation poses significant risks. It may cause confusion, so mistrust, harm people's health, and undermine public health efforts in society. Therefore, the Surgeon General has declared that limiting the spread of health misinformation is a moral and civic imperative that will require a whole of society effort. There are global, national and regional efforts to mitigate health misinformation. The WHO, CDC, Johns Hopkins Center for Health Security, and the Surgeon General have launched campaigns to counteract health misinformation. The Office of the Surgeon General has developed a community toolkit of particular note. It provides tools for the general public to, quote, understand, identify, and stop misinformation, and help others do the same. At our regional level, the San Diego County government developed a webpage to help citizens evaluate COVID-19 information. The county also hosts COVID-19 public health misinformation panels. They are online meetings for county residents to engage with health experts on questions about COVID-19 and health misinformation. How we designed our initiatives. We used an inclusive participatory process to design work for broad impact, to coordinate our different expertise and resources, and align our partner libraries' missions and services. We relied on an advisory team of nine librarians to design and plan our health information initiatives. Our team includes representation from all six libraries in San Diego circuit. Here's our process. First we analyzed recommendations for mitigating health misinformation. Focusing on guidance from San Diego County and the Surgeon General, we identified four action areas that resonated with library work. They include information sharing, educational services, community engagement, and strategic partnerships. Next, we brainstormed health information initiatives for each action area. We generated ideas at individual and team levels to surface our different perspectives and organizational values. We strived to accommodate these differences in our planning. Afterwards, we prioritized high impact initiatives that have a high ease of doing. We conducted multiple rounds of scoring and voting on their proposed projects. An essential element was graphing our ratings on a two by two matrix of impact scores versus ease of doing scores to focus on those projects in the top right hand corner. Next, we collaboratively drafted project plans for each priority. Finally, we presented our project plans to the library directors of all circuit organizations for review, revision, and approval. We checked for mutually beneficial and complementary work across our different organizations throughout our design process. Consequently, each library has the necessary resources, expertise, and mission alignment to succeed in this work. Our planning resulted in eight prioritized initiatives to carry out in 2022. We will present these initiatives in a logic model. A logic model can show the relationships among our library resources, activities, and intended outputs. The model can illustrate how this work supports the impact areas of the county's campaign against health misinformation. Here's the logic model. First, we identified the requisite resources to develop health information literacy in local communities. The resources include staffing and partners who will contribute to the activities, funding for programs and services, technology for web publishing and communications, organizational support to prioritize health information literacy, and community networks for public engagement. Through these resources, we can conduct activities that build community resilience to health misinformation. Specifically, there are eight initiatives. Promote health information sources, build health reference skills, and a referral guide for library workers. Develop a library network for collaborative health information work. Conduct instruction and events to support health information literacy. Engage public officials to collaborate on health information initiatives. Engage community advocates to promote library services and programs. Invite health experts to work with libraries on misinformation mitigation and train health workers on health information literacy support with the public. We categorized our initiatives between A-type and B-type. The first four initiatives, the A-type, represent high impact and high ease of doing initiatives. Our advisory team of circuit librarians will lead this work. The B-type initiatives are high impact, but they have low ease of doing. We reserve this work for circuit library directors since it requires higher administrative and collaborative capacity. Here are our intended outputs. They are the products and services we hope to deliver. Outputs include health subject guides, promotional materials, training and community events, a community of practice, and strategic partnerships with public officials, community leaders, and health experts for health information literacy support. Consequently, these outputs could support four impact areas in the county and national recommendations for counteracting health misinformation. The impact areas include disseminate reliable health information to the public, partner on strategic initiatives related to health misinformation, provide educational services about misinformation and health information literacy, and engage community groups through health information support. While there are additional impact areas for building health misinformation resilience, these four areas notably resonate with libraries. We have directly tied our library initiatives to the county's campaign goals. The relationships in our model, indicated by the row organization and the connective threads, show the direct link between our work and the public goals. Overall, this logic model helps us focus on the broader impact and explain our contributions to the county's effort. We commit to these project values in our collaborative work. First, we will work as a unified inclusive group of libraries. We rely on each other's unique expertise, share resources, and achieve collective impact. Secondly, we will conduct sustainable work through focused projects on a one-year timeline. They are more feasible and offer room for flexibility and change. Lastly, we seek to reach a broad range of communities in San Diego County. We support the whole of society effort endorsed by the Surgeon General. We take a phased approach in our work. In the first phase, we will build an online guide of health information sources. This guide will help the general public find reliable information, critically evaluate health information, and use libraries to explore their health questions. Additionally, we will host a training class on health reference skills for library workers serving the general public. The network of the National Library of Medicine will be teaching this class. Additionally, we've met with county public health workers and have begun exploring collaboration opportunities. In subsequent phases, we will build on these foundational elements to develop a community of practice and to forge strategic partnerships for larger-scale work. After reflecting on our design process, we want to highlight a few practices that helped our diverse libraries collaborate on a broad social initiative. The collective impact model encapsulates many of our collaboration techniques. We will review this model and describe how our work reflects its principles. Collective impact is a framework for collaboration, problem-solving, and social innovation. It is a network of community members, organizations, and institutions who advance equity by learning together, aligning, and integrating their actions to achieve population and systems level change. It differs from other collaborations by emphasizing a centralized infrastructure, a dedicated staff, and a structured process that leads to a common agenda, shared measurement, continuous communication, and mutually reinforcing activities among all participants. Five conditions drive collective impact. They include a common agenda, shared measurement systems, mutually reinforcing activities, continuous communication, and backbone support organizations. The first condition is a common agenda, which includes a shared vision, a common understanding, and a joint approach to action. In our experience, we quickly noticed that our libraries have a shared mission to help people find reliable information and to engage communities through learning and technology. Additionally, we defined our common agenda based upon recommendations by leading organizations, including the CDC, the Surgeon General, and the National Library of Medicine. Their research and vetting strengthened our confidence to mitigate health misinformation. The second condition is shared measurement systems, an agreement on data collection, measurement, and reporting to monitor outcomes and facilitate learning. Identifying measurement systems was challenging, especially as health misinformation resilience is an emerging space for libraries and our partners have different missions and roles. Furthermore, our work provides intangible benefits that are difficult to quantify and measure, such as information literacy and critical evaluation skills. Currently, we will rely on the traditional measures of participant counts, ad events, and resource use statistics. We need to continue exploring library assessment methods around health misinformation resilience. The third condition is mutually reinforcing activities, whereby stakeholders coordinate their unique strengths and expertise to support and complement one another. In our work, we designed our efforts for mutual benefit and harmony with existing services, roles, and capacity. Additionally, we used a systematic process to plan our initiatives with multiple rounds of voting, scoring, and discussing. This protocol helped us recognize our organizational needs and define our respective contributions. The fourth condition is continuous communication, such as regular meetings. Our advisory team meets monthly. We have pre-work for every meeting, including readings, brainstorming exercises, revisions, and planning. Because of this preparation, we can focus on analysis, decision-making, and project delegation during meetings. The last condition is backbone support organizations, which comprise dedicated staffing and organizations for project management, data management, and work facilitation. In our collaboration, we rely on a project manager to convene monthly meetings, set the agenda, design the pre-work, and coordinate inclusive decision-making and project work exercises. Additionally, our advisory team includes a circuit library director who facilitates regular communication with all library directors on project progress and resource needs. Let's recap our project. Public and academic libraries in the San Diego Consortium are collaborating to support the county's campaign against health misinformation. We use the project design process to ensure our work is mutually beneficial and complementary of our different library expertise and capacity. Our program goal is to build resilience to health misinformation among local communities in San Diego County. Our strategy is to share reliable health information and support health information literacy. We will take a multi-pronged approach that includes information sharing, training and events, strategic partnerships, and community engagement. Our logic model helped us connect our resources, activities, and outputs to the impact areas recommended by the county. Lastly, our collaboration style reflects the conditions within the collective impact model.


Good morning everyone. Thanks for being present here on a Saturday morning. I know most of them you will be partying on a Friday night. So my name is Aditya and I am part of Fulfillment Service Group at Flipkart. I am part of the product team and today I will be talking about the location problem, some of the aspects that Divya also mentioned in her talk that this problem is very unique to India and how at FSG or Fulfillment Service Group at Flipkart we are solving that problem. So the agenda for today is I will be introducing FSG or Fulfillment Services Group what at FSG we are doing currently. Then I will be talking about the location problem of India and what is the impact of location problem to the supply chain and what is the havoc that it is causing on the supply chain. Then how FSG is solving that problem and the way forward. What is our vision to ensure that we deliver the best in class customer experience that we promise to the customer. So introducing FSG what is Fulfillment Services Group and what it is responsible for at Flipkart. So Fulfillment Services Group is responsible for ensuring best in class customer experience after the customer has placed an order. By this what I mean is that once the customer has placed order on a Flipkart website right from that point till the order is delivered to the customer and even beyond delivery the entire experience is controlled by the services offered by FSG. FSG offers different kind of services and to get into detail of those services I will quickly walk you through what is the entire flow of a journey or order journey after an order has been placed. So quickly talking about it whenever an order is placed it's created into multiple shipments. Each of the shipment then flows through different facilities or the supply chain network that exists within Flipkart. So a shipment will flow through a Fulfillment Center. So we have hundreds of Fulfillment Center and it will then flow through a Sortation Center where it will be sorted further to move it to a Delivery Hub and from Delivery Hub it moves to a customer. Now think about a situation where you have hundreds of Fulfillment Centers, you have hundreds of Sortation Centers, thousands of Delivery Hubs and millions of Packages are moving through this complex network. So there are millions of packages that flow through the complex supply chain network and you will be hearing about this more when my colleague Senthil talk about this in his presentation on Orchestration and Network Intelligence. So just giving you a brief to tell you how a shipment flows through the supply chain network within FSG. Now coming to the address problem in India before moving further I have a question like how many of you understand your address? Like all of you right? I mean you live there, you have to understand your address right? Okay so why I ask this question is that I want to share few examples of how India understands the addresses. So this is an example of a very good address where the user has been kind enough to provide the details about house number, the apartment name, city, locality and all the things right? So user very well understands the address. Another example of a address that user has provided. So as we move forward right?  So here the user has only provided locality. So user believes that this is what the understanding of my address is and this is how I have been giving my address and this is how I how everyone is able to connect through me to or to my address. Moving forward the user says that a locality or a landmark. So this is my address right? Anyone who has to connect me has to come to near this bus stop and I'll be there. Another example looks like a perfectly good address. If you see one of the important address attributes here is the pin code. The pin code is something that the Indian Postal Service has provided us. That's how the entire geography of India has been divided right? But I don't think that all the users have understanding of the pin code also right? So in this case in this example the address is of some other pin code. It actually belongs to 560017 but the user has mentioned pin code 5600103 and this is because of numerous reasons like one of them being that this is how traditionally they have been writing address and this is how they write it and this one is my favorite right? So this is example of an address where user has provided I think a lot of information here right? And user has shown great intent to actually find himself also right? So the user has mentioned that you can ask anyone so just translating what you can ask anyone and they will take you. So I think thanks to the user for giving a good intent of the location what exactly they want to do right? And helping our referees to reach to the location right? So this is how a snapshot of how India understands the address right? So each and every user, each and every customer, everyone has its own understanding of the address right? And there is no right or wrong right? And why there's no right or wrong? Because address itself is a combination of numerous attributes it's and all those attributes are not standardized right? There are bunch of attributes such as state city or even pin code which can be standardized across but then that does not solve the problem right? So consolidating all this what are the problems that are associated with addresses in India right? First of all the scale itself is a big problem there are zillions of addresses, multiple combinations of how user understand, multiple attributes as I mentioned none of the attributes are standardized right? For example city like Bangalore have crosses right? City like Delhi has sectors even within a city Delhi has sectors Delhi has nuggles they have gullies right? So you don't have you don't get the luxury of standardizing the attributes. Another problem is that the addresses are organized very poorly physically right? So logically it looks like sector 23 has to be next to sector 24 right or house number 43 has to be next to house number 42 but that's not the case always. So the logic division does not work always within the Indian context and as I have shown you numerous examples users don't know or understand their addresses right and all these problems are further accentuated in tier 2, tier 3 and tier 3 plus communities which are the next growth engine for the economy as well as the e-commerce industry. So what does this all mean for the supply chain right? And I think Divya also mentioned in her talk right? It results in a lot of inefficient manual planning and why manual planning? Because you have to rely on the local knowledge of your hub managers or your field executives to actually do the entire out planning to actually do the entire shipment flow planning. Another problem that it creates is unoptimized shipment flow. So in my first slide when I talked about the flow of how order moves through the various facilities within the supply chain network, if let's say customer has given one wrong pin code right then it can enter into a different facility from which it is supposed to be delivered which would mean that either an order is delayed or the customer is contacting multiple times the customer supposed to know where my order is right and the third most important thing is customer discovery in the last mile.  So the discovery of the customer and mind you the customer has given the right address. So customer has said that this is how I know my address and this is how I've been giving my address. So now it's your responsibility to come to me deliver it without disturbing me right. So what does this all mean right? All this pans down to one point which is degraded customer experience. So delivery boy calling multiple times to the customer right is very relating for the customer. Shipment not getting delivered on time or whatever time has been promised is again degraded customer experience. So keeping all this view or all the problems in mind how at FSG we are solving this problem. So before jumping into the solution what we feel is that every address has to be standardized in some form. One way of doing that is obviously you get into different standardized attributes. You create labels of address right? But ultimately the micro point for doing or the micro unit level for doing any planning is the geo codes. So what I'll talk to you about is and how we are solving the problem of geo prediction right? Different companies are doing in different way. So today I'll talk about how FSG is solving that problem. So what at FSG we have been doing is we have built a flip card location intelligence platform which we called as flip. Flip is a crowd source platform with the aim of geo predicting each and every lat long and we use machine learning algorithms and some of the techniques that we use I'll be talking about the flow of how do we geo code and address. Within flip when I say crowd source platform right we are not using or not relying on data source from one particular source. We are using multiple data sources. One of the most important being one of our own database. I think there was a question from another gentleman in the audience that over the time you get your own database then why are you not leveraging it? So this is what we do exactly. We are leveraging our own database because we do millions of deliveries and we have got millions of exact location points that has its own set of challenges which I'll talk later but that's one of the very important database that we have built. The other database that we use is map my India data. So we also rely on their own their network how they have created the idea of locality sub localities all that is called as the location time. So I'll give you a brief about how do we geo code using a geo location service that we have built. So you see an address mentioned here 691 Sharid Bhagat Singh apartment pocket tree this address is fed into the geo location service as an input. So address attribute is a standard input and we tokenize an address. So again if we are talked about some of the tokenizing techniques we follow some of those techniques and I've also built on top of it. So a token what would a token look like if you see at the bottom of your screen. Dwarka is one token sector 14 Sharid Bhagat Singh apartment pocket three. These are examples of a typical token that will come out of an address and these are very few examples. There are numerous tokens that are created within that address for each and every token we retrieve a polygon. What do I mean by this? So for Dwarka as a token we'll obtain a polygon. Now how do we get a polygon for Dwarka as an address we have done a lot of deliveries on the locations where Dwarka is one of the address. So we'll have many geo coordinates available for that. So we'll take each and every geo coordinate and generate a polygon out of it. Once the polygon is generated right each and every polygon for each and every polygon for each and every token. Area intersection score is calculated. So what do I mean by area intersection score is so for example in this case let's say sector 14 as a polygon. So sector 14 intersecting with Dwarka we calculate what is the intersecting area of a sector 14 polygon with a Dwarka polygon and divide this by the total area of sector 14 polygon and come up with a score of a particular polygon. This process is repeated for each and every token and the area which has the highest score is returned or the polygon which has the highest score is returned. So the idea of taking the intersection is that we get as close or as or pinpoint the exact location of the address because that forms the basis of the precision or accuracy of your geo prediction. Now how do we get to the geo prediction accuracy? Once a polygon is returned or once the final polygon is selected with the highest score we create a bounding box across that polygon and we take the diagonal of that polygon as the precision accuracy in meters. So what are the critical outputs of a geo location service that we have built? So latitude, longitude and precision. So precision is very important to know exactly that okay what is the level that you are operating or you are geo predicting and that's a very critical output because different precision levels are required for different use cases and applications. So this service has a lot of use cases and application and some of them are like navigation. Another one is like identifying what is the exact customer location for a field agent and another one is automated beat planning or route planning that we do and I'll be talking more in detail about the automated beat planner that we have at the FSG. So before going into details of what is automated beat planner, what it all is doing, how it's consuming the geo location service, I'll quickly introduce the concept of beat. So beat is nothing but a sequence or order or route that a field executive or a delivery executive follows on the ground when he's handed the shipment. So every day delivery executives are handed 40 to 50 shipments and they deliver those shipments in certain order or and following a certain route. So that is typically called as beat in supply chain language. Moving forward to automated beat planner. So with automated beat planner, we take number of inputs, we process these inputs and the idea is to generate automated beat plan which maximizes or which minimizes the overall cost of the delivery but ensures that the guardrails of customer experiences are maintained. So let me detail out some of the inputs that go into automated beat planner. One of the inputs is order size. What do I mean by order size? So number of shipments that are there in order, typical characteristics of a shipment, which is like what is the size of the shipment, what is the type of the shipment, whether it's a hazardous material or not. So all those inputs which are associated with every shipment, whether category of shipment goes as one of the inputs. Then geocodes which is coming out of a flip service, geolocation service, slot time or delivery time. What are the delivery times or slot times that customer has chosen or what we have promised to the customer for the delivery capacity. So we have different type of vehicles that are available in our supply chain to attempt deliveries, beat vans, beat bikes. So each vehicle has certain capacity or they are different ways of defining capacity. Some we define what is the maximum carrying capacity or what is the range of capacity that you want to operate into. And the other important one is the traffic. So what are the traffic conditions that exist on a particular day at a particular time of the day. So all these inputs and there are other inputs as well. These are major inputs that we are currently consuming in automated beat planner. All these inputs are fed and ABP processes and once ABP processes the output is a beat plan. So the beat plan is generated to again minimize the cost and when I say minimize the cost, it's function of numerous factors here. The productivity, the number of shipments that a field executive can deliver, the capacity or how much utilization you have done of a vehicle. So all those factors contribute to the overall cost equation and we ensure that the guardrails of the customer experience are maintained. You don't want that you have made a promise to your set of customers that we'll deliver by this time, but to minimize on the cost you miss that promise. So the idea here is that we continue to deliver best in class customer experience, but by deploying technology, we keep on reducing the cost of operations. So that's the overall journey of an automated beat planner that how it does. Now let me talk more about what happens when a beat plan is generated. If you see on your screen, this is a UI that is shown to our planners. It tells completely what is the area, what are the different routes that different delivery executives have to follow, what is the order. So each and every geolocation here is an address or a customer location where delivery is supposed to be done. There are certain features that we give to our planners. One of them being manual override. So what I mean by manual override is that whenever a planner feels that one of the orders is not planned in an efficient manner, there is a chance to or there is an opportunity to move it from one beat to another. Why would that happen? If the system is predicting it, why would a planner want to do this or why we are given this functionality? So what happens is that many times at ground, the reality on that particular day may not be exactly what has been planned. For example, you have planned for 10 beats assuming that 10 field executives would come every day. But there has been an attrition or not all of them have reported or let's say all of them have reported but because of some unforeseen circumstances, one of the field executives had to cut short his delivery of today. So that's one of the reasons why we have given this plus every model or every system will have certain accuracy and this is a continuous evolving process. We take feedback of every delivery that we do and we feedback into the model. So we keep on improving the accuracy but whenever there is an error rate, we throw it out of a delivery area and then we have to rely on the ground knowledge. The idea is that we want to do away with it but if we don't give that address, we have to deliver it. So all the exceptions are handled in different manners. Some of those we even call the customers to try to get a better feedback of their addresses. But those cases are very small and the idea is that we reduce or minimize those cases or those use cases with time. So the services that powers the key features automated beat plan are geo location which I have already talked about, the geo distance service. So geo distance service basically gives you the distance between various latlongs. So you basically feed the latlongs and it will give you a road network distance between different latlongs. And we use to create a distance matrix to come up with what is the route plan that has to be created. Maps interface. So the entire map interface that you are seeing on the screen is a Flipkart map interface. So this is created on the data. So we create our own tiles on the base data that we have in our database as well as use the map idea data to create tiles and this map interface is powered by Flipkart itself and traffic prediction. So these are the services that are currently used by automated beat planner to do the entire beat planning or the run sheet planning. Right. So what is the way forward? Right. Looks like, okay, we have are solving the problem of address. We are doing the manual. We are moving away from manual planning. We are doing the automated planning. But is that good enough for customers? Is this pushing the boundaries of customer experience? Right. So we at FSG believe that there is a lot of room to push the boundaries of customer experience itself. So what we want to get to is a perfect matching of supply and demand. Now before going forward, let me talk to you what I mean by perfect match. A perfect match means that each and every shipment or each and every order should be assigned to a particular delivery channel in a perfect manner. When I say a particular delivery channel, what it means is that a particular field executive, a Kirana store or a third party logistics partner. And who will define this? Right. So there are two key stakeholders that are involved in this entire operation. One of them is of course our customers and the other one is our field executives or our delivery executives. Right. So customers will themselves keep on pushing the experience boundaries. Right. They will define that. Okay. For me, perfect experience is that you are able to deliver it to me whenever I want, wherever I want. And that is my choice. Right. You are able to deliver me without contacting me even for once. Right. And for our delivery executive partners. Right. They would they would want that. Okay. I want to do deliveries from this time to this time only. I want to do deliveries in this particular area only. Right. So the matching or the perfect match of supply and demand is dependent from the supply partners, which is our field executives as well as our customers. And this is our vision. This is a way forward that we want to go to. So this brings to the concept of the allocation engine. Right. Again, the idea of an allocation engine is to ensure perfect match of supply and demand, match each and every shipment, each and every order with the most convenient or the perfect delivery channel. And there will be a lot of input services to it. I've already talked about flip and ABP, the location platform and the beat planner. The other key critical service that we are building and that will form the genesis of allocation engine. Right. The most important one being customer availability service. So what do I mean by customer availability? Can I predict during the day or during the week the point when the customer will be available to make a delivery attempt? Now what do I mean by that? Many of us place orders on our office at risk. Right. Because Monday to Friday, mostly peak times we are in our office. Right. So imagine a situation where I as a customer have placed an order. Right. I have been given, I have given my office address and I've been given delivery date or I've chosen my mistake delivery date as Sunday. Right. Now we know that a customer will not be available there on that particular day. Right. So if we can predict for each and every address or each and every customer input when the customer will be available. This will become one of the important components which will again push the boundaries of customer experience. The another service that is very critical to push the boundaries of customer experience is FE scoring engine. So FE is basically the field executive or the delivery executive. What do we mean by FE scoring engine. Right. Now different FE's or different delivery executives will give different performances. Right. They none of the two people are similar. Right. So we want to ensure that the feedback or the performance of each and every FE is given as input to the allocation engine. So as to ensure that the customer experience is not degraded. Example is that let's say one of the FE's has one of the FE says that the customer is not available at the location but actually the customer was available. He made a what we call a fake attempt. Right. So we want to get that and power that into the allocation engine. Another thing on the supply side for the perfect match is FE skill and preference. So as I mentioned that every FE would have preference of delivering certain time in delivering certain area. So we captured that and FE skill. So what do I mean by this is that certain categories may require certain skill to do a delivery a category such as TVs or washing machine which would at the time of delivery require some kind of demo versus a category such as mobile accessories will require different skill levels of the FE. So we take this input and push this and other one being service and capacity engine. So for each and every delivery channel we have different capacity and different service ability. So what we want to ensure is that every shipment is given to a certain delivery channel which ensures a perfect matching of supply and demand. So this is the vision that we want to move towards and are working towards this. So that's pretty much. Thank you. Happy to take any questions that audience might have. Hi. My name is central Kumar. I'm here. Sorry. Okay. So what kind of accuracy where you guys able to attach in terms of identifying the exact location in terms of distance? For example, 10 meters, 20 meters or anything of that kind. Okay. So before answering you that question, I'll give you one example of a live experience that I experienced on the field. And what I did was I went with one of my field executives on the field. We have pointed him to an accuracy up to 20 meters. And believe me, even after making few calls and he will be going into one direction, I go into another direction, we were not able to find the customer location. And why this was right? Because customer had never mentioned his house number outside his and it the gullies that we went into, right? I have never been to those values, right? So why I'm sharing this example is because this has different accuracy levels are required for different applications, right? If let's say I am doing a shipment planning, right? That which deliveries have it should land into, right? Then maybe I don't want to get into an accuracy level of 100 meters, right? I want to get into an accuracy level of one kilometer is good enough for me. But if I am doing a planning for the last mile will be right? Then we want to get it as close to as 200 meters, right? Now how we have arrived at this number of 200 meters is we have a internal metric of let's say how much reattempts are happening, right? So we see that what is the sweet point at which the reattempts start flattening out, right? So we figured out that sweet point currently is 200 meters, right? Having said that, that is not the I'll say the best number. The reason being that it will change across the geographies, right? We move into a tier three cities that number can change again, right? So this number I'm talking more about the metric cities as of now. So this is what we achieve towards or plan to do towards.


We are officially recording because I don't want to miss this for the, for the memorable. Yeah. So I mean, DATS, Tosh, if you pull up the daily chart, let's kind of review it, right? Yeah, buddy. One sec. So here's a year chart, guys. Let me, let me take off these lines. Well, these are pivot points. Let me just take these off. Yeah. Uh, so, oh, hold on. So if you look at the daily chart, it had its first initial move up to 1850 because it was a sympathy play to CEI. So CEI was running and this was kind of the sympathy play. This was the side play. This was the play that, uh, the CEI pumpers were pumping that as like the next one or whatever. When CEI tanked, you know, pretty much 50% or more. This DATS tank 50% or more to $7, right? And then all of a sudden, just pretty much out of nowhere, it seems, they started re-pumping it.  It just tanked. Why are they re-pumping it? What is the reason here? And it's not that there's pumping it saying, okay, whatever. They're very aggressively pumping it. They're going from, it's going from eight to 11, then 11 to 13, then 13 to 15, then 15 to 17. And you have to think to yourself, why, right? Why, what is the reason that they're pumping this, right? And we found out today that there was a PR catalyst. So I don't know about you guys, but it's pretty clear to me that these pumpers knew about the PR catalyst ahead of time, loaded up the boat ahead of time and use today's PR with the elevated volume to have an event to be able to sell into. So that guys is called insider trading. It is legal, right? That's the number one thing that you have to make note of. Dude, it's so it didn't, Alex, didn't it feel this time, like, like on a different level of orchestration? Like, dude, it felt like it was really calculating. You have to remember guys that the reason why the stock was moving was not any PR. It was not any catalyst previous today. The catalyst for this stock moving previously to today was a bunch of pump tweets, tweets, right?  So whenever these guys started tweeting, there was an algo that picked up their tweets every time they tweeted a million shares worth of volume went on the tape. And all of a sudden these pumpers, these manipulators started tweeting the stock and started jamming up and jamming up and jamming up. There's two problems with this stock here. Problem one was that it already topped out last week. This is not a fresh play. This is just a dead cap bounce. If this was a fresh play, if it was a new ticker, if it didn't already top out at 18, it might have gone crazier. The problem was that there were so many other longs that were stuck. So many believers, so many people thinking that it was going to go to 30 that the stock was long crowded. That was number one. Number two guys is this is a Selva news setup, right? So the previous Selva news setup that we had, I posted it above here. I'll post it again in MIC chat. But the previous one that we had that I remember that we made some content on was the Virgin Galactic SPCE Selva news setup. So there was an event where I think they were going to go to space for the first time or something like that. They were going to go to space for the first time. And then the stock kept running up, running up, running up into that event. And the moment that event was over, the catalyst was over and the run was over. So it's the same thing for this DATS. DATS ran three or four days in a row with no news, no catalyst, no PR. And then the day that they PR today, the day that everyone is the most hyped up about it, I mean, how much higher could it go? It already doubled in a week, you know what I'm saying? So people, people didn't really realize or the longs didn't really realize that today was their signal to sell. And we had a couple, a couple of hints, right? Hit number one was that when these pumpers tweeted, the stock rejected. For the previous three days that these pumpers were tweeting about it, the stock ramped up. It just so happened that today there was more supply, there was more selling because whoever was involved in buying this few days ahead of time want to sell today, right? And that was number one. So you are our catalyst was it was a potential sell the news. What would confirm the sell the news? It would be selling. It would be rejections. It would be failed tweets.  The second catalyst was a first red day setup. So when you can combine two of these strategies together, when two of these strategies line up the same way, whether it be a first red day setup and a sell the news setup or whether it be a, it could be like, I don't know, it could be a short inter-resistance coupled with, you know, an offering hitting, it could be anything, right? When you have two things that set up, it doesn't happen often. Maybe it happens once a year. We're two of our setups combined together. That is a huge potential signal and a huge potential opportunity. And that is why I sized up today on DTS. I was looking for a first red day setup to my surprise, to my excitement, to my understanding. When we had a PR catalyst that came out after this, that to me, guys, was the ultimate signal. So that's the first thing I want to talk about is what a sell the new setup is. So to recap, a sell the new setup is when a stock goes up for a few days in a row, let's say three to five days in a row, either anticipating a PR or waiting for a PR. And then when that PR hits, all of those people that were pumping it, manipulating it, buying it ahead of time now have a reason to sell into the new clueless buyers that do not know any better. That's the sell the new setup. Alex, can I just interject for one second? Hey, guys, guys, guys, to add to that, not necessarily just the PR. Sell the new setup is a forward looking event. It could be any sort of forward looking event that people are are using as a catalyst to hype the stock up. So whenever you have a forward looking event and when that event comes, usually there's a sell the news. So it doesn't have to be a PR. Remember that it could be anything. It could be a day that so keep that in mind. Like if someone's to pump it, oh, this day's coming. Something's going to happen. And when that day happens, usually it picks. So yeah, and it's another example. It'd be like sometimes these this is like pharmaceutical trials. They say like, OK, we're going to release our numbers on December the 10th. In anticipation of December the 10th, the stock goes up, goes up, goes up. They have great numbers, but all of a sudden the stock goes down and that's a sell the news event. But stuff like what I said, stuff like what Bao said, are the ones that are more predictable. The former ones are a little bit more up in the air, but they're just another example. Exactly, man. And just to give you guys literally the most layman's terms, because I know we probably have even 16 year olds walking, watching. Dude, even Dogecoin was a sell the news when Elon Musk finally went on SNL. That was the day it crumbled. Like so it doesn't matter what sector niche it's a forward looking event. And when that event comes, that's when people have to sell off. So exactly. And the big thing that Brock also mentioned as well is the catalyst was not a good catalyst, guys. They were not getting paid. They were paying bar stool. So number one, the catalyst didn't really make sense. Why would that be a bullish catalyst? We could pay bar stool, three million dollars to pump MIC. It's nothing unique. It's nothing special had them had bar stool paid. That's that's a totally different story. But here we are having a sell the news set up on a PR. That's not even bullish guys, right? Exactly, right, man. And Bao and I were actually one of the first people to recognize this. Bao tweeted it out very, very early. We mentioned that that they were paying bar stool to do espouse that. And then the first red day set up, guys, we have so many videos on this. It's very simple. I mean, Tash, let me post my chart so you guys could see. Yeah, man, I'll pull it up so you guys could see. I'll post it in the web first. So you guys can see what I did. Basically, guys, also before you get into that chart, Tash, I want you to show this real quick. Okay, one's up. OK, this was the commentary that was posted earlier today, right? This was the commentary that was posted at 9.50 a.m. when the stock was around like $16. So we said this was my plan. So my plan was I want to take a 10% starter under 15.50. I want to add another 10% if low that they broke and then add the last piece when it went red. So this happened really fast, guys. This happened really fast. And a lot of people asked me how I was able to get my orders ready. And the key is, guys, that I prep my orders. So what you could do is you can have a separate level two box with your order prepped with the price prepped so that when that moment comes, you don't have to spend a couple seconds typing in your trade. You could just hit the button there. I'll tell you guys, I'll tell you a big secret tip. You can do it elsewhere or you can do a stop sell. That's what I usually do. You can put a stop sell. That's like a stop loss, but you don't. But you're not in, right? So if you're not in, it shorts it for you. So you can say if it goes under. So what's the red of the day is $15, so $14.99. So you do a stop sell $14.99 and it'll trigger.  It's a fantasy order, but it's on the sell side. Yup. Exactly. Exactly. So that's this was a big day, guys. It was a big day because it was a dead cap ounce that turned to a first red day that turned to a sell the news event that we found the pumpers tweets weren't working. That we found that the stocks PR wasn't really that positive. This was something that I would say, guys, comes maybe once a year in terms of both the setups combining together. But have this been a normal first red day? It will just still pay it out.  We've seen them. I mean, trading closely to you for so long, but even members who've seen for the last three and a half years, bro, when these come around, you are not scared to bring the house. And for anybody who has a lot of people ask, you know, hey, Alex, let's see the chart. How did you feel confident on this? Dude, when this slams red, Alex said it before, man, 1550 was the line. But if that snaps and red snaps, dude, Alex piles in, man, it's it's a really simple strategy, man. And what's ironic is the simplest strategy we have, which is a first red day, and especially when you have green light, green light, green light, like all the pumps, the failed pumps and like you talked about, bro, it's the most profitable. And I love seeing you capitalize on this one every single time, man, because you've just gotten better and better over this one, man, seriously. And we teach this. Yeah. So someone asked the question, why was shorting 1550 and red not a chase coming from 17 in my mind? I'm thinking because it's a first red day and there was a lower high with a decent balance. Guys, on setups like this, if a first red day setup does not mean you short the bounce, right? A first red day setup means that I short when it goes red. Yeah. And in this specific scenario, I didn't have an opportunity to add more because it halted down. But on a first red day setup, I'm not trying to short a 16 and then wait for it to go red. I'm shorting when it goes red because that is the signal of that profit taking is going to happen. Yeah. So you don't need to, you don't need to over complicate it and say, OK, it's a first red day setup because the first red day setup, I'm going to short the bounce. And then when it goes red, I get paid. That's wrong. That's not how it works. You get paid when it goes red. So short it when it goes red. Yeah, guys, you're mistaking this for a normal day to day play. This is one that comes around very rarely. So when it comes, the potential in range to make is so huge because it's a different psychological thing. This is to catapult a major saw. This is not something where, oh, it snaps, I cover on support and then I'll reshort like that. Does it resistance maybe 650 or 17?  Like, because remember, guys, there's no real big, there's no real demand. There's no real reason for this to be up. So when the manipulator, when the algo, when the pumper, whenever the guy behind the scenes gets out, there's no more bid. Yeah, very well said. Do you buy multiple locates for different stocks before market opens?  You know what I'm saying? So like, it all depends on the setup. I don't think a lot of people, what they do is they go full size on locates before the market opens, they locate, locate, locate, and all of a sudden they can't make money because they pay so much in fees. For me, guys, the only stocks that I pretty much located today were deep, here, I'll show you, right? I'll show you. I woke up very early today, guys. I woke up very early and I got a very, very, very cheap locate on DATS and even then, guys, even then there's still plenty available. So if I know for a fact that I am going to trade the stock and it's going to be a low availability, I'm 100% going to take whatever I want. But as a new trader that is still trying to figure out what they are good at, a new trader that's trying to figure out what they like to trade, if you go all in on locates, you're not going to make money. You have no idea what you're doing. For me, I'm very selective. So just because there was five stocks on the watch list, I didn't even locate the five stocks. I only located the stock that I knew that I was the most interested in and if the other ones got to my desired levels, I would locate them. GWH was a top watch for me. It didn't get to my level. So I didn't even locate it, you know? Exactly right. And look, guys, I mean, you know, it takes some sacrifice, right?   It's like, this takes some sacrifice, man. You're going to lose some sleep in this industry. I'm sorry to tell you. Yeah, but this is guys, this is why you're in MIC, right?  So you could learn from this specific example of the exact trade thesis, the exact trade idea that was posted before, so that you guys can understand what's going on, right? Alex, will you talk about the consistency that we actually, like, statistically have proven with your watch list? Do you want to talk about that real quick? Yeah, I mean, like, to be honest, guys, like, it's people think that we're bragging. People think that we're doing all this stuff. But the truth is numbers don't lie. You know, our watch list have over an 85% win rate. So I mean, if you guys are not using the watches to your advantage, you are at a disadvantage, right? Was Xander, how come you didn't have starters in anticipation maybe after that stuff moved?   I only wanted to take the trade if it went red. If it did not go red, I didn't want to take the trade because that was my plan. My plan was first red date. My plan was not short into resistance.  Guys, you guys are looking at it after the fact and it was damn easy, but at that time it's not that easy. They were pumping it still. Remember, they were holding this for almost half an hour, guys. They didn't think it did not tank right off the bat. It actually went down and squeezed up a dollar and 50 cents.  Let me show you the chart right now. Yeah, bro, this is 45 minutes into the open at this point and this could have squeezed all the way back. Take a look at that, guys. It topped down to $1550 and it spiked to $17.  It's not as obvious as you think. So you have to have a plan. The plan is, you know, there's two ways to plan, right? Alex does the right way. Confirmation. If you had anticipated at $1550 or even $16 and slammed everything you had, they spiked up to $17. You just topped out in the very top. Exactly right. Yeah. Confirms, guys, confirms. Don't anticipate. Wait for the confirmation. When this is great, that's great. Tosh, could you go to the video library and go to the video library search bar and type in two things. Number one, type in sell the news into the search bar so people could find out how to find sell the news setups. Sell the news. OK, hit Enter.  Yeah, buy the rumor, sell the news. Tesla, Apple, make sure. This is one specific video. But if you go back and show them just hitting Enter, it'll show all the other videos that come up with sell the news. One sec. I think it went to an act. Hold on, one sec. It did an actual thing. Sell the news. Yeah. All you have to do is write the setup in there. Yeah, it accidentally auto-filled for me. And then, boom, you have all these news. You have a YouTube live from me. You have a trading fish from Bao. And you have a video from Joe. I guarantee if you watch all three of those videos the next time you sell the new setup comes, you're going to bank. Now go to the other one. Go to the first red day. Your league is going to be ready for it, man. You're going to know what we're talking about. And guys, remember, you can actually even search these in the category section, but I'm just typing it in for you. And boom, you have literally five pages of first red day. So for those that have watched the videos, for those that have watched not only the first red day videos but the sell the news videos, this was crystal clear, clear as day. So people always ask me, how long does it take to become profitable trading? I mean, how long does it take you to go through these videos? To be honest, the people that watched these, the people that, okay, the last sell the news setup was SPCE. And the people that didn't know that setup, after that day, they studied it, they studied it, they studied it. And then today, when it came up, they were ready and prepared. So for everyone that didn't study the sell the news setup for today, study it after today. And the next time it comes, you will be prepared, right? And this is what you guys are doing. Are you studying? But the thing is always need to watch the market because even if you study and you see it, you may not understand what's going on. Sometimes it takes two times. So that's why you need screen time guys. Hell yeah. Keep watching it just because you watch it. Doesn't mean you'd be good at it. So when you watch it, start paper trading. Start trying to do something, right? Guys, don't just watch and think you can do it.  Now a good example is I think Faye said she watched this three times over in the Accelerator Jumpstart before she even really started getting the results that she did. Like dude, it takes multiple viewings of course.  And here's also another very, very key thing guys is I posted the watch list today at 848 AM. So that gives you, if you really, really want it, it gives you probably a good 20 minutes to watch at least one video on a first red day. So if you see that's on my watch list, you see can look for first red day setup. If you don't know what a first red day setup is, to be honest, you can spend 20 minutes watching one first red day setup video right before the market opened and I guarantee still do better than most people. You know what I'm saying? We told them to watch it. We posted the videos. I posted it yesterday too, man. So that's the thing that... So guys, okay, let's say you missed it, right? Let's say you missed all this stuff and thanks now. Remember, Alex said, we always said there's still plenty of meat on the bone. Take a look at my chart, man. If it even goes down, you can still make another dollar. Another 50 cents. As a new trader, it's not your job to make the entire four bucks of the move, right guys? Your job is to make money trading. Your job is not to be a hero like Alex and ride all the thing all the way down.   You guys see what he did right here, right? Bao scalped all day, but he waited for his lines to be hit. That's the point. And we teach you how to do that as well. So, yeah, man. There's so many ways to milk this thing. That's the thing with treating guys. You guys think, oh, I missed it.  Is your objective trying to go for home run?  Oh, I missed this trade. But no, there's a lot of meat on the bone.  And it bounced already. It bounced like a dollar from 1150 to 1250. So there's your chance to trade that stock. And, but the thing also is that it helps that we are shorting this and you see the pattern so that you do not go long on this day. Anybody went long on that day? I don't know what to tell you, man. You need to study more because this is not a setup where you should be going long. This is a blowout kind of setup where we're looking for the first red day. So if you're scalping on the long side, you're scalping on the wrong side of the trade right here, guys. That's exactly right. Gentile, because you're saying, you know, it's amazing how we made the bulk of the gains after this wash. This particular setup, brother, an FRD of first red day, this is where the gains are made. It's not made in the first wash. It's made in this. So this is the stuff that you learn once you watch all the videos and stuff. Dude, it's not amazing. This is predicted.  It's in here, brother. This is where the money's made. Also, Tosh, a good point is everyone that missed, the longs that missed the run up from seven, eight, nine, 10, 11, 12, 13.  I'm getting this at a discount at 14 and 13.  So having an education, knowing what the hell you're doing and what day to trade it is, again, why you guys are here and you guys are learning, right? You guys are learning. Even if you missed the first red day, at least you didn't go long and blow up. Guys, this is why you can still make money like Bow did if you scroll up right here and see on these little bounces is Bow knows that these are where the people are averaging down and then getting even more fucked because they thought the pumper said it would go to 30. This is why there's still money to be made or AKA what we call meat on the bone once this massive, massive backside is in and it's not front side anymore.  It gives them, it gives everybody here a reason to sell let alone everybody in this volume packet that bought yesterday into the clothes, into pre-market, into intraday. And let me tell you something, Tash. This thing is down 26% SSR is on. And you know what, bro?  Now it is broken.  But you better believe a bounce towards 12 bouncer's 1250 or 13 tomorrow is once again a dead cap bounce that we could short into hopefully if we get there. I knew you're going to be excited for that. I knew those were the next words coming out of your mouth, bro. And then remember that just because you missed DATS look at GWH, Tash.  Every single, what was the high of the day today, Tash, that hit 24 up? Hold on one sec. Let me go the exact set, dude. Intraday it was literally 2260. What about the market? Remarket 2417. Go to the watch list. One sec. Watch list. Where's GWH? Ideally a pop and rejection of 24 to 25 short in the morning. Let's take a look at where those lines are. What did you say? You said 24 and 25. I will literally draw them for you. 24 and 25, exactly. And this is a stock guys that I personally missed. I missed this one because I was so focused on DATS. But this just goes to show you that even when there's one crazy, absolutely wild stock moving, I mean, shit, we still have plans on all the other stocks moving that or working pretty well. Because guys, there's other things taking attention.   It's like Jim Carrey in the mask suit when he's got all those guns lined up. Like we're already waiting for first red day and low hanging fruit. When you have this fucker taking all attention. Dude, this is- I gotta thank the pumpers today for JSPR. Absolutely, bro. Because maybe without them, this first red day wouldn't have been as powerful as possible because all the longs might have dumped their DATS to buy JSPR. And tomorrow guys, tomorrow, I don't know what's gonna happen on this JSPR. I don't know. I don't care. Either A, I'm gonna watch it and attack it. Or B, DATS pops. Like the point is guys, that no matter what happens today, tomorrow when we show up, we're gonna make a plan. And that plan we're gonna stick to and that's it. So this is the plan I have tomorrow. Take a look at this. This is what you should do. You should look at the chart and based upon the lines. So obviously there's a $13 line, right? There's a pivot there as well. So I threw this chart. On top of that is the volume profile. So there's a ton of overhead supply at the $13 line. So what happens is, man, if it gets a 13, I'm hammering that thing. Probably Alex will as well. So there's so much overhead. And there's all these resistance lines matching up. There's a pivot line there. There's every sort of resistance there. Exactly. I love that, dude. I love that. You guys see what Bao's talking about guys? This is this green line that we both have on our chart. That's the 13 pivot line he's talking about, which are really, really effective on low hanging fruit. And then simultaneously, let me just pull this arrow real quick, is what he's talking about right here is this is where the bulk of the volume is on the volume profile. So if it gets up to that level, this is where people want to actually get out even on their position. When they're down on that motherfucker, when they're down on this position, they're like, dude, please God, I'll pray to any God out there, just let me get out even. So what happens when you couple, coupling factors of a resistance point, a pivot line and the fact that it's broken and the fact that the volume profiles lined up right there, what are you going to get?  Cause it's backside. We now have 1513 is our goal tomorrow, but I was going to get there, but who knows, man? Hopefully it will. It's always on the chart, right? So draw the chart. Yep. This is the same concept as the death line concept. So take a look on videos on death line, because at a certain point where it breaks is just game over guys. And that's why I mean, if you're not making money, at least you're not losing money. So those guys that are long buys, if you didn't trade this on the long side, be very happy that you're learning something here.  And Val, I should say this because you gave such wonder, I mean, we all did, but dude, you really spearheaded the warnings on this day. Guys, when this was trading it, this time we were warning about this stock. We were like, this is not a short, this is not a short, this is not a short. It's a hot chick. And then dude, I mean, literally we warned here, we warned here and we warned here. Like if you guys aren't in MIC to learn how to make money, you need to be in MIC to learn how to keep your money and not play the wrong things, but you're going to get both. So Val did a really good job of scaring the room today in and not losing all their money on the short side of GSPR.  So these are the things, man. It's not rocket science, as we say every single Wednesday. Hey, it's not rocket science, it's harder than rocket science. Seriously, unless you get- Rocket science makes less, bro. It makes you like bow and you get pretty fricking desk flow near a house.  Me and Alex have a saying, that lives in a simulation. You gotta make a movie on Bow's life, bro. Dude, it could be, it would be like a 10 part series. And it would be XXX rated as well as the box. It would be dirtier and longer than Lord of the Rings, dude. Oh man. All right, let's take some questions. Are you having questions? Yeah. Guys, any questions? Sorry if we skipped over any questions. We've just been on a real role here to give you guys- So like once again, guys, I mean, this is one of those plays where for half an hour, no one knew what's going on.  The red came at 15.01. The problem with the stock is very hard. Every stock had a little nuance to it. This CI last time, the red was way low. So when it bounced off the SSR last time, whoever shorted down there died, right? So you almost have to see how far the red line, the previous close is from your current price. So in this case, that's previous close was 15.01. It was at $16. So it's not that bad. It's only a dollar up, right? So the moment it breached first red day went down only a dollar, it just bottoms out, right? But CI, remember last time was huge. So you always have to see where the previous day is for your first red day. If the first red, if this sucker had ran up to 16.50 and closed at 13.50 yesterday, that would not be a good first red day play, right? Right, there were already shown the weakness. We don't want that. We want those massive slams on the first red day day where you have time. Exactly, man. Xander, I just said this, right? Victorimos. Someone always say tomorrow what's going on? Like I said, man, you have to wait for the confirmation. So what's happened when the confirmation comes? You have chances to add. So you're not just adding, adding, adding, adding, adding, right? So I'm picking lines, but these thoughts, I'm usually doing 50 cents, mental stops, meaning like 50 cent lines, like $12, $12.50, 13. Those seem to be working well for this talk. Someone just said on YouTube that he's swinging short on dats. Wet for night? Yep, still swinging short. What do you think? Well, it's good for that. It depends on what's right. Yeah, well, it depends on your average, for sure. But just always be careful with swings, guys. Pay yourself something. You've got to pay yourself.  That's just creepy. You have to take a little tap off, guys. Definitely. Well, now you have no idea.    Jeez, you can really handle a lot. You should have a sandwich cuss.  I'm having a cell wayward G. Clearly, man.  Guys, any questions? I have a question for you. That was good once you get to the foot lock. Bal gets hangry. I'm a lovey individual, guy. I love Bal hangry, dude.   I remember, I think it was Texas, bro. We were in Texas. We went, we had like this amazing steak dinner. We're like, oh, good. Everyone's full. We're like, walking back to the hotel. And Bal was like, scope it out for a parfait somewhere. Bro, we literally stopped off at like one of those seven. I can't remember the name, but they're like those 7-11s in Texas. I think it was Wawa. Wawa. And dude, after a big steak dinner, Bal literally goes and gets a foot long sandwich. You got a foot long sandwich. You go back to the hotel. The hotel lobby is buying a parfait. This, that.  The bottom was pit, bro. It's a bottom. Bal knows how to eat, bro.   I thought I could eat a lot and frequent.  I'd lose in a, oh, you can eat a lot of it. That's why I'm fat, guys. Fat but rich. Fat but rich.  All right, let's see who's watching us on YouTube. 149, good. Who gots a little audience? Yeah, hopefully this helped you guys today, man. These are really good lessons, and if you learn this, man, you're going to have a profitable trading career. You guys are really lucky at the right time, man. Remember, guys, the first step is to learn the ideas. Not necessarily learn to trade this for profit, because the more time you see this, because at the real time, it's so fast that unless you're experienced, you don't know what the hell to do. You just, you know, the best way to do it is review what we talked about today. Watch the videos from experience, from previous plays. You have to see more than one play, because each play is going to be a little nuanced, a little different, guys. If you're waiting for the same exact setup, like price for price, you've got to all messed up. That's why you cannot be too rigid. And it's like the coupling factors, right? Is Alex specifically sized maybe a little bit more than this one than he normally would on a first red day because of all the things that matched up, you know, the failed algo, the Twitter pot, like there were things that, and like pay bar stool, like what the fuck?  Yeah, it's getting late.  I got to pull some water, though. Fuck. So I was trying to pay for that. I was too busy eating, man. I just still find it crazy, man, how like this whole PR in the pump was that they paid bar stool. Maybe we should pay bar stool. Like what the fuck? If we pay bar stool, it looks like our stock is in a tank. You know what it is, guys? This is what I think. I think they got insider information that they have a promotion with bar stool.  I think they thought it was the other way around. That's my guess. That is so funny, man.  Or can they? I mean, they pay someone for, they pay $3 million for promotion.  I'm like, if I heard that, I want to invest in bar stool. Yeah, it makes you want to go to bar stool, dude. It's like, who's getting the money?  So that's the thing with insider information, guys. Just funny, that's Carmen, man. I'm pretty sure they made money. They're telling everybody, I think, gravy.   Definitely. And that's why I hate these pumpers, but it's okay, we make money off them. That's why I don't like them. I love them.  Anyways, that would be weird. Rob goes, Dave, Portnoy, what are you doing? That's pretty funny, dude. That's really, that's cool. Hey, Dave, if you're hearing, man, come on, M-I-C, bro. I'll bring you up right now. If you know what other companies that pay you money. God, for real. Now, how do you have the mental energy to trade all day multiple stocks after two hours I get a migraine from ticker S-O-F? Ticker S-O-F. Passion, bro. Eat all day and I'll stop, bro. Just eat all day, man. That's the answer. Guys, do you have any questions about what we explained on DATSDA, R-B and Hot Chick, anything like that? Yep, use volume profile. It's a great indication of where the, kind of, air of the balloon is. So that's what I always kind of say.  All right, what's going on, guys? You want to do some jokes? What do you want to do? What do you guys want to hear, man? We're here. We got, wrap up early if you want. What do you guys want? Yeah, man. I didn't, I forgot. I didn't realize it was 3-3. When do the mean winners get announced? Don't work on that. Yup. Do you ever combine first resistance with first red day to get in earlier or is that too risky? Well, that's what I did. You just need to learn to match your size. Yep, guys, let me show you Bow's chart earlier so you can see what he's talking about on that specific one on DATS. Yes, you see how Bow was hitting the first resistance earlier? Yes, you can. Just know, though, just know, like Bow would say, is the majority of the size comes on the massive confirmations, not in, you know, over VWOP or like 30% with what Alex uses, right? So definitely. This way was okay, because it kept hovering the VWOP and it had big resistance, so.  It went down real quick.  That's why you gotta be careful, because if you want to die, this is the thing, guys, there's many ways for a stock to die. It could just die right away with no tricks. In this case, it consolidated for half an hour and then it ramped up to $17.  So whoever is short thinking, I'm fucked. So what comes, you know what I'm saying, guys? So you have to see how, there's a lot of different nuances of way worse. So if your size too much before the confirmation, you will get shaken up. Yeah, because what if it goes to 19? Exactly. That's exactly right. And guys, there was someone on YouTube that said, and this could have squeezed to 1850. Of course it could have. That's why you do what Alex did. So when you're like, hey, is that a chase entry? Dude, it's not. When 1550 and 15 broke and it goes red on the day, that's what this setup is entailed. That's what we're looking for. The majority of the tank is under these levels. So that provides the domino effect and avalanche of selling pressure. That's what you're reading. That's not a chase on this person. And thing is it could have gone to 1850. It could have had a midday offering. They could have been convicted of fraud. They could have cured cancer. It doesn't matter, guys. It doesn't matter. All that matters is the price action and setup. We could create scenarios for every single possible thing that might have happened. But at the end of the day, there's only one outcome and that's what we had. Correct. And how did we get there? By your confirmations. Bingo. This stuff is too good to be given out for free, man. You know, I'm glad we got rid of the monthly. I'm glad we only have annual lifetime now because this trade for me paid for 10, 200 lifetimes of MIC, guys. So I mean, I promise you guys that MIC is the right place to learn. I promise you that if you guys give us a chance, you will learn how to make money. But just like a gym membership, just because you have it doesn't mean you're gonna get jacked in a week. You still have to go to the gym, you know? I have a gym at my place. Well, Bow has made enough money to own his own gym. So if Bow worked out as much as he ate, dude, he would look like Dwayne Johnson. Oh my God. That's cool. I do. Without the muscles. That's pretty funny. Dude, speaking of what I heard, Dwayne.  We have videos on this. It proves that our system works. And other people are right now learning from it, so. Exactly. So get ahead of the curve and learn it first before other people learn it. Yep. And if you guys are new or you guys wanna learn. This is not luck, guys. This is not luck. Guys, I think that's it, man. I think we should probably just wrap up early. I think so too. I'm just writing this on YouTube really quick, but for anybody who's interested about pricing or you have any questions about membership, just text my business line, man. 2-1-3-4-5-8-5-9-9-7. I'll handle all that. Yeah, text us 2-1-3-4-5-8-5-9-9-7. If you guys can't afford the annual, we might work on a case-by-case payment plan system for you, but there's absolutely no chance of monthly coming back. No chance of coming here for a month. If you wanna learn, sign up for the year and you will learn how to make your yearly membership every single day. And guys, let me just save your time on the begging. Please don't beg for the monthly to come back or beg me to get in. We gave three weeks where we told you day by day on every part. So the guys, oh, I just missed it. I was waiting for the first, guys, no, man, fuck, no. Plus this webinar itself, bro.  We'll keep it for all the members. We'll make it a trading fish. I agree. Yeah, it isn't too big, man. I was almost scared to click, dude. Alex, when you said you were coming on today, I was a little too scared to record because I knew you were gonna give away the farm and information. So it's good that you recorded, bro, because people will see that this is actually legit. But other than that, man, I think it's time to relax, bro. I'm a little bit tired. I know you guys are a little bit tired. So let's get back to it. Let's do it, man. Guys, we'll see you in after hours, man, which is right here. And if you have any questions about becoming a member today, just text my business line, guys, and we will see you in the club. Post your stick photos in after hours. See you, Val. See you, guys.


So the cost of diet food. So here's where we get into the weeds because again, you can imagine people coming up with all kinds of things that they can they can say well my doctor approves this and you can imagine the back and forth that has happened between You know taxpayers and the IRS. So what the first one diet food this gets into that whole thing with should obesity for example be a disease because if he qualified as a disease maybe you can write off the food that you buy right which would be a huge expense or of a write-off which again I don't think should really be something that's dependent on the tax code to be determining the classification of a disease personally cosmetic surgery unless it was necessary to improve a deformity related to a congenital abnormality and injury from an accident or trauma or a disfiguring disease so again this is another one that gets kind of confusing because you know sometimes you know you can argue as to whether or not something is is necessary care or or not whether it be cosmetic or or not kind of things and again there's a lot of kind of gray area it seems to me and in in that space as well life insurance or income protection policies so life insurance is different than medical insurance then we have the Medicare tax on your wages and tips or the Medicare tax paid as part of the self employment tax or household employment taxes so when we think about our normal our normal payroll taxes the money that that's taken out of our W2 wages we have federal income tax we have social security and Medicare and you could argue couldn't say why well Medicare is something that I'm going to get when I get when I reached the age limit to be qualifying for Medicare and I'm basically paying for it now so I should get the deduction for Medicare but no because that's some weird thing where it's like you're paying into the social program and so on and and again it gets kind of messy so nursing care for a healthy baby but you may be able to take a credit for the amount you paid see the instructions for form 2441 illegal operations or drugs so obviously if you're if you're getting your drugs like illegally or something like that like like from Canada or some other place you know you would think that that might not be deductible obviously illegal drugs are generally not going to be deductible you would think right so important drugs not approved by the U.S. Food and Drug Administration the FDA so imported drugs these include foreign made versions of U.S. approved drugs manufactured without FDA approval which means they're cheaper oftentimes because they don't have the FDA approval but of course can't deduct them and that is non prescription medicines other than insulin including nicotine gum and certain nicotine patches so travel your doctor told you to take for rest or a change so this is one that I gave as an example that you can see would commonly come up with you can convince any doctor you know I need a vacation to reduce my stress and it's going to be a health benefit well you can get approval for that but obviously that's one that the argument has been pretty well drawn out and the IRS is basically one you know that argument but again if you get created if you start thinking about it you can come up with all kinds of questions about medical expenses and so on and and I'm sure you could find many interesting cases about the deductibility of medical expenses so funeral burial or cremation costs so that is past medical expenses because the medical expenses had clearly failed at that point in time so tip so if you were age 65 or older but not entitled to social security benefits you can include premiums you voluntarily paid for Medicare Part A coverage so line one medical and dental expenses enter the total of your medical and dental expenses after you reduce these expenses by any payments received from insurance or other sources you can see reimbursements later if the advanced payments of the premium tax credit were made or you think you may be eligible to claim a premium tax credit fill out form 8962 before filling out schedule a line one