Welcome folks, this is Tom O'Brien of TFNN.  You focus on growth, hope everyone's having a great day, safe day, just making a great night folks. To master love, you have to practice love. The out of relationship is a whole mastery and the only way to reach mastery is with practice. To master relationship is therefore about taking action, not about attaining knowledge. Mockin' wise, let's take a look at it out here. We have the Dow Industries right now, up 13. Nasdaq's off 80, S&Ps off two and a half, gold contract trading down $10.40 at 18.03 notes. We got silver down 50 cents, $20.23 notes, light sweet crude up $2.27 cents at 94.20 notes and bonds. You get the 10 year note, down 19 ticks, right now to 1.19.04, the 30 year off a full point, plus 26 at 1.40.04 and King dollar. King dollar right now is down 89 ticks, 105.107. The euro is out here at a price point of 102. The yen is at one, there we go, 132 and the brisk pound is at 122 to one US dollar. Offer numbers 877, 9276648, give us a call folks, one note's going on in your world. We're gonna go to the world, the NQs first, because the NQs are doing an intraday ABC structure on the way down folks. Now the S&P's not, so it's gonna get really intriguing, watch this shake out. So what you had out here, they bottom line, got the NQs all the way up to 575 out here. Right now you're at 313 and you can see the bottom line, let's see, we had 14,000 contracts, we took that out, no maybe we didn't, 10,000. No, it didn't do it, that's interesting, okay. No, neither one of them had the volume when it took it out intraday. That being said, and the NQs, the NQs are trying to make it over that spike low that we had yesterday. The spike low yesterday was 13,237. That's how this baby's shaking out right now. You can see the last 10 minutes, that was a big bar man down there. Now check it off, but that's a high volume bar. When you get high volume bars, whether it's daily, weekly, intraday, intraday man, they love going after them.  So let's go over to the spy first. We take a look at the spy, what you have inside the spy, gave it up on price, the spy got to a price point of 424. And I suspect we're gonna have here folks is that, see that last, like in the spy, I don't think the pullback's gonna be as much. The spy looks to me like 413 to 406's game. It's a high volume bar, that's what I'm doing here. And that's not where it broke up from. Now the cues, I suspect, are gonna go right back to where they took off the last time. And the reason is that that's where that bar is. See that bar right there? That is 308 in the cues, you're 321.   I was saying, okay, you wanna jump the ice, but it was dicey. Bottom line, gave it up and gave it up in spades. That being said, so my take, and this is kinda cool how this is laying out too, is watch this. Because that is also the .382 of the whole move. And, you know, that'd totally make sense. That, you know, you have that .382, and they'd line up the exact same way, right, that that side of strength out there. And I suspect what it's gonna be about, okay? What it's gonna be about is the DXY. That's the bottom line, okay? So what we had out here is that we had a break-lower with conviction, okay? Bottom line, and I suspect what this thing wants to do, which would be a mind-blower, but this is how it works, man, is that it will go back up and, you know, the break that we had occurred inside the dollar, the same the dollar wants to go to 97. And what happens is that you're down here, they're still trying to make its way back up and break inside the trim line again. You know, more than likely it'll just hit the trim line, give it up in spades. But as that's doing that, that is gonna put pressure on the market because the bottom line, the market cannot stand the strong dollar. It goes out of its mind, literally, okay? Now, let's go into the gold contract. We look at the gold contract. What do you have with the gold contract? Gold contract's down 10 bucks, and you can see, as a lot of the targets are saying in there, man, gold couldn't move when the dollar was down 1400 ticks yesterday. Now all of a sudden the dollar disc is down a little more, and bottom line, look what happens. That being said, what you have is that this is so light of volume, folks, the bottom line gold wants higher price. We're pulling back today 10 bucks. You only have 111,000 contracts. I believe we're going into 199. We're going into a good number. Let me see what this is. Yeah, we did 155 yesterday. We're going into 169. This is, there's not a lot of sellers. We can pull back further, that's for sure, but the bottom line is that the sellers aren't out here. Let's go take a look at some of the higher volume equities we have out here. Today you get, let's see. I got AMC, the meme stocks, that's up a buck 71. Ford's up 26 cents. You got Nvidia down 156. Amazon's off 250. No big numbers here, man. No real big numbers. Let's go inside the Dow industrials and see the strength versus the weakness inside the Dow. Oh, Disney's going to be their number. Disney, they came out with their numbers, decent numbers, and the expansion of price is amazing, man. 38%. So Disney is putting 33 positive points inside the Dow. You get Traveler's 26, Goldman 25, taking away from it. United Health 46, Amgen 22, and J&J, 100. No, I'm sorry, 20 points, 20 points. And inside the MDX 100, the strength versus the weakness there. You got Pinduodu is up 4%. You got Constellation Brands up 3%. JD.com up 2, Airbnb up 1. Taking away from it. DocuSign, that's down 4.5%. You got Zoom off 4%. You got Splunk off 3.6. And bottom line is that this little baby, yeah, it didn't take the B point out with volume, but it wants lower price. Dow industrials right now, flat, and Aztec is down 85. S&P's are down 4. Stay right there folks, come right back.


Okay, everyone, so I'm going to switch gears a little bit right now. We have spent most of the morning talking about different data types that are part of an RHS. And what I'm going to talk about is a little bit more kind of thinking through all these data types and how we can look at data quality of these various integrated components. I'm just going to start with some baseline principles here just to make sure we're all on the same page. And I'm going to describe some basic principles of data quality. I'll then identify some specific tools and DHS to I'll describe some of them I'll also demonstrate some of them as well. So you can get a better better picture of what they actually look like. And I'll also describe some of the principles of integrating data quality within a health information system. All right, so a number of the data quality components that we are reviewing or that we will be discussing are based on these basic guidelines that WHO has developed this data quality assurance toolkit. I've posted the link in the presentation. There are three different modules that are available. Many of the principles that we pull from a lot of the features that we demonstrate a lot of the items that we will discuss are based on these three items. So if anyone is familiar with these, then some of this might be kind of linking to this guidance. So when we're looking at data quality, there is different frequencies that we can assess and think of right and you guys probably have some idea of this in your own context or in your own setting. How often do you actually look at the data. Now where we typically run into problems is reviewing that data routinely. But maybe in many contexts that we typically work with, they will look at the data towards the end of the year. They'll run an annual analysis. At that point, they will review the data and provide feedback on its quality. Another area where we typically have many challenges is sending that feedback down to the source of the data itself. So yesterday during the exercise, you guys learned a lot about how the source data can be kind of incorrect and based on how people are tallying things, for example. And often the discussion around this is that maybe central levels or provincial levels, and there's not enough kind of information fed back to those lower levels of the system that are responsible for reporting that data. So our job's is actually to take all this different data that we're collecting and kind of figure out innovative ways to present this back to individuals who can then interpret this, you know, try to make it a bit easier basically. So we can spread out the amount of burden regarding this review of data, right it shouldn't all be at the central level, because that makes it difficult to actually determine whether or not, you know, your statistics are correct. There's, you know, I've separated this out into a couple different periods. We have a weekly or monthly review, which is hopefully being conducted at lower levels of the system, or the idea would be generally to try to implement procedures that allow people at lower levels of the system to conduct that analysis routinely. So in the annual reviews, these can be maybe a bit more time consuming, right, might be might involve some other experts, you might bring in an outside expert and external advisor, or might involve a central team of experts who are very well versed in these data quality principles, and then you might have these periodic reviews these are often program specific. You might have a malaria review, someone might come in from outside or you might have your own internal team, and they will conduct a thorough review, not just of the data they will conduct also service delivery reviews as well, but they there will be some focus of course on the quality of that information for that program. So we're going to try and break this down a little bit in terms of how we can feed into this process, a little bit more routinely. So within those kind of different types of reviews, we have different types of data quality review that we can perform. So this includes verification surveys. This means that we're actually traveling down to the location, a facility or a district, and actually verifying their data. So there is some travel required, but speaking with some of you today. And yesterday, I understand that some of you are already doing this. We're actually going physically to verify the data at a specific site, or a district or another location, a physical location, right. We can also do this kind of, we call it a desk review but you know really whichever level you're at provincial national district, where you're kind of performing kind of joint review of data, without having to physically go to a site and review it. So this would mean that the data is then reported to you, you have it on hand, and you're able to actually review that data through some processes that you've defined. We also have some built in tools. I put validation rules as an example, but we have some tools within DHS to that will allow you to review that data at the point of entry, or later on at another time. So there are also also some tools to facilitate this process within the application itself. We're just going to discuss a couple of different metrics that we often use for data quality, there might be additional ones I'm not saying what I'm presenting are the only ones. But these are ones we might typically assess. And in particular there are many tools in DHS to to support the review of these specific metrics. So as an example here on screen I apologize the screenshots, a little difficult to see I will do a bit of a demo so you can see some of these as well. The first metric is data set completeness and timeliness. I say data set but this is like just your form your tally sheet from yesterday. So essentially the same concept. Okay, and we apply this concept typically to aggregate data for the most part, right. We have case based data as well. It's a little less intuitive to apply the concept of completeness and timeliness when you're reporting every individual case. So there are ways to do that, but it's more difficult to aggregate those measures. Okay. So, what we've noticed is that, in particular this measure. It's, it's okay in many places. It's improving in particular a lot more countries, especially as they implement electronic tools or if they had other tools if it wasn't DHS to, regardless of what they're using. Sometimes this is okay. But what we want to emphasize is this is not the only measure of quality. Right, a lot of people kind of have that idea while the data is being reported on time. I can see the data, therefore my data processes are okay. Another metric that we often use is consistency over time. This in particular is a very good one to use because it's very different levels can be very easy for people to interpret. You don't necessarily need a lot of training necessarily to have people identify values that are inconsistent with previous ones. There's often big spikes or small spikes where the data is missing. And this is very easy to spot. Right. We also have things like outlier analysis. This may be referring to either internal consistency where you might be comparing two variables you're collecting within your system, or external consistency where Olaf mentioned this earlier a little bit right where you're comparing a variable you're collecting with maybe some outside source from another system or maybe a survey or a senses or something like this to determine if these are compatible with each other. And then another important item and all of had briefly discussed this as well about all this population data. This is often a very big challenge where we have multiple sources population data, whether it be ones that you calculate via your senses that you calculate and you compare this then maybe with survey data or other sources, or even within the same system, when there are multiple populations, it then makes indicators very difficult to compare across programs for example so if your malaria program is using a different denominator than your TV program, or, you know, any other program, it makes it more challenging to actually kind of compare these measures or contrast these measures, because the denominators are not representative across these programs. Alright, so before I proceed, I just want you to log into Mentimeter here and we'll start this up. Okay, so just go to menti.com either on your computer or your phone and enter in this code. Take this out and start it up. Okay, some of you are responding already that's great. But I'll just keep this up so everyone can join and answer the question. Okay, you'll see the question on screen and I'll go there in a moment. Okay, so is it difficult to train people on data quality. So this is the question. I'll just give everyone a moment to respond. So a lot of I can see a lot of people kind of gravitating towards the middle there. We'll discuss this in a moment. Keep these results in mind as we go through some of these concepts. Okay, so we do have a couple saying yes, we have a kind of distribution here of responses, but a lot the majority here in this middle box where they've kind of said it's somewhat difficult. Okay, and we can kind of try to break that down a little bit and see why. Okay, a couple more responses coming in there fairly consistent.  I'll ask you a couple more questions as we go through the session. Okay, so just leave this mentimeter open. I'll refer to it in a couple other minutes. But keep these in mind as we go through some of the rest of the presentation. Okay. Okay, so we're going to play a little game. Okay, and it's very simple. All right. So I'm just going to present a couple visualizations. And all I want you to do is think about if any of the values look incorrect. Okay, so we're trying to find out if there's any outliers in the data that I'm presenting. So first one here, what do you guys think have a look at the data. So anything wrong with any of the values. We're trying to spot any potential outliers or problems with the data that we're seeing here. Do you guys see anything. Yes, right. It's pretty obvious right now I wasn't trying to make it easy just to do so. You can see these green points right there really out of line with the rest of the data. Right. So that's our number of A and C first visits. Okay, it's just kind of trending upwards, having these random spikes, right. So that was really easy to spot so let's have another look at another one. What about this one. Is there anything wrong with this data. This is a dropout rate. Okay, so some of you might not be familiar with that term which might make it difficult. Okay, but what do you guys think is this okay. It's not okay right well what's wrong with the data. Okay so for those of who aren't familiar. Okay these negative dropout rates at the beginning. These ones here. Right. So this is problematic. There's many reasons why we don't have to get into all of that now, but you can kind of spot that very easily on this type of visualization. Right. What about here. Can we spot anything might be more difficult because of the slide. Okay yes so a lot of people said yes I kind of. Now just think about that for a moment and refer back to the previous question that I asked is data quality hard to train on a lot of you said somewhat, and I would tend to agree with that. Okay, but it is also our job to try and make these as interpretable as possible. We try to make it as easy as we can, because this means other people can do this. So with no previous exposure. I just showed you a couple visualizations outside of DHS to many of you were automatically able to engage with that visualization and identify a potential issue with the data that I was showing you. Okay, so it is also kind of part of what we're doing. We're bringing all this data together you can imagine now if we have TB malaria and see data, all in one place. And then we have to come up with ways to kind of mitigate challenges that we've had in the past, because those won't go away just because we're creating an integrated system, data quality issues, they just won't disappear. Right. They will still be there, except now we'll have them for many different programs, all in the same system. Right. So it's also kind of part of what we're doing to make these or simplify these a little bit. Okay, so we try to keep it simple when possible. Right. I know we can get caught up in the details. What is a normal distribution. What is a standard deviation. Okay, there are terms when we refer to data quality that can be difficult to train on a wide scale. But that doesn't mean we can't train others to help support this process. Right. So I'm not trying to dumb it down necessarily make it easy just for the sake of doing so. Right. That's not what we're trying to accomplish. Right. But we can make it a little bit easier so we can make routines easier for others to use. And by doing so it allows more people to reflect on their information more frequently. And that is something that I think we can try to achieve. Right. So if we're in particular training facility users or other users at other levels that may not have as much training in this area that may not be as familiar with digital tools that may not have as much background as maybe in public health or biostatistics concepts. Right. The idea is we try to make this kind of as simplistic as we can. That doesn't mean we don't need to build capacity at other levels to really understand how to utilize these tools, what these values represent how they're created. Right. So I kind of have an X here across this normal distribution and for a wide variety of users that can apply. Right. But then there are of course that subset of users where you would want to show them, you know, explain exactly what a normal distribution is, because maybe you're coming up with routines for measuring your data quality. And then you know they need to learn that. So that's why I tend to agree with that somewhat is a difficult when I ask is it difficult to train data quality concepts. I could say somewhat right because yes, in particular for that national team or that team that's really responsible for implementing these concepts. So we kind of learn a bit of detail. Right. But then there are things that we can do to make it nice and easy, right, without any previous training without any previous kind of, you know, just from your own backgrounds, you're really easy to kind of work with some of these visualizations right. Okay, so let's look at another one. What do you guys think here. Is there anything wrong with the data. This one's a little tougher right. So this happens. This is an example that I've taken from a visualization at the national level. Okay. And we see a little increase. And we're not really sure just by looking at it. Is there a problem or not. Right. Some of you are kind of thinking there's a fluctuation, but you can't really confirm if that's problematic. So in some cases it can be more difficult to identify when these issues are happening. Right. So in that case we have other tools so I'm just showing you here. So this is the value here in one, one district in a specific facility for the same value where we see this increase of 33,000 right that's what's causing this increase. Right. So sometimes you might need to dig a little bit deeper. Right. So I say careful with sensitivity because in particular, if you're only viewing values at the national level, then you might get outputs like this, and it might look okay at first. Right. But the moment you kind of dig a little deeper and check what it is, you know the cause of those values, then it can be a problem, and you do need routines to identify that. And in particular this is why it's very helpful to have more eyes on the data. Right. Because if this same chart were recreated within that facility, they would automatically see this big spike in their data, and they would be able to identify it immediately. Right. So there are some ways that we can kind of help people along when we utilize these features so it's not really just about the features themselves. I will describe those, but it's really about the routines that we try to implement to help people with this kind of thing. Right. And what we focus on when we're showing them how to kind of work with these features. It doesn't have to always be so complicated I'm going to keep kind of hitting that message home. So, shifting gears a little bit. I'm just going to discuss a couple of the specific features that we have available to review some some data quality within the system. So here's an example of a scatter plot with various outliers. I think once again, you can kind of see right. I won't say anything but you can have a look real quick right. So if I look at this without really maybe even understanding the house some idea of where the potential outliers are this is a bit more challenging right, but even still a lot of people were pointing to these this box kind of over here on the side right. So these two red dots in particular. Right. So there's a lot of tools that we can use this helps us. This does use some some principles that we would need to understand right. So how do we actually capture what the outlier is. You need to kind of understand the different methods that are available. So you set this up and it's not just spitting out nonsense. Right. So someone does need to understand actually those different methods that are used in this case it's called the inter quartile range. But you do need to kind of understand some of those concepts right someone does at some level, but then when you present those as long as you've kind of verified that what you're doing is correct. Then you can share those with more people and you know the more eyes you have on the data, the better I think the outcome will be. Okay, here's another one. I'm looking at completeness and timeliness. Now, what do you guys think here just looking at this is there any problems. Or is things looking okay. I mean, would you guys be happy with this. Just focus on one line. I know it's kind of a lot but have a look at the purple line for example. It's going up and down and up and down and then up again and kind of like this. Right. So, sometimes there are other challenges with regards to this that we kind of have to consider what actually happened. Now what created this spike. Was it that more facilities all of a sudden came online, where they're supposed to be reporting the whole time and they haven't been. So, there are other issues that are maybe kind of when you think about the quality of your data, when you're looking at the information that might be kind of directly impacted by other implementation related issues. So here, if, if, you know, maybe if you're working in this country, you might have some more context as to why that spike happened, or as to why there's this fluctuation why the same facilities aren't reporting every month. I think in most contexts no one would really be happy with this fluctuation. Right. Maybe. Yeah, maybe, maybe they're on vacation, maybe they're burnt out, maybe they decided not to submit, maybe they didn't want to sit there with the register. There's probably a number of reasons, right. So sometimes it's not just like a entry error either right. Like these are pretty like this one's pretty obvious right. Someone probably entered the wrong value. You probably didn't go from 400 HIV test to 33,000 in one month. Right. So it is to why people aren't submitting the data all of a sudden. I mean, maybe you will know, maybe you don't. It might be worth checking with the facility. So they're kind of operational issues that are sometimes tied to this it's not. You can't just really always just sit there, as much as we have tools to help with this. These are mainly meant to help you identify potential concerns with the data. Okay. But that doesn't mean that you won't have other issues operational issues potentially that you might have to follow up with as well. For example, looking at reporting rate, looking at percentages instead of numbers. Okay, so, so a couple of notes and I mentioned these earlier but I've just written them down just so you can get a good sense. So, in DHS to when we're working with completeness and timeliness measures. Okay, these are based on the reporting period of the data that you are capturing. If you're capturing data every month, you're able to calculate completeness and timeliness measures every month if you're capturing it every week. Same, same thing right if it's more like an epi week that starts on a Monday or something. Okay, same thing so it's based on the week in which you're reporting that data. And then also I kind of mentioned this briefly, we typically apply these measures to aggregated data. So if you're looking at things like case based data, or where you're reporting every case from a register, or every disease from a confirmed surveillance case for example. Okay, there are many ways to kind of collect that information, but it might be harder to apply measures of completeness and timeliness to that type of information. So just keep this in mind if you have maybe a current system or a current process for reporting completeness, when you're trying to kind of think of how you would kind of get these measures set up within a DHS to system for example. So validation rules is another feature within DHS to that we can utilize both at the point of entering data. So the user entering data could confirm their data. And we can also use it to analyze in bulk district data facility data, any level of data that you're capturing essentially right so we can use it both for kind of post analysis of the data after the fact, after it's been entered. And as well as kind of during the data entry process. So it serves kind of a dual purpose. And this is mostly checking, I'd say for the most part, especially during data entry, checking internal consistency so within the data that you are submitting you can create kind of simplistic rules. For example, the number of RT T tests malaria RT T tests you perform shouldn't be more than the number of malaria cases that you report. Right. So you can kind of go through and set up your own rules based on the logic of the data that you're collecting. And this you can use both case based data, because you can aggregate the case based data, as well as aggregated data to create these types of rules. And you can also do similar types of checks, when you're entering your case based data if there are some some kind of validation or logical issues with that information that you are collecting. That's just an example of where you can enter more information. So typically with these validation rules we also recommend that you kind of add as much information as you can, a good description of why this is incorrect, a description even of what to do. If this is wrong, you know, who what does the person do now what's the next step, because okay I've identified that there's a problem. Okay. Okay, but this breaks down the various items that are contributing to this. So you can also combine multiple variables. For example, if you want to add five or six variables to give you a particular output, and compare this with with another variable or value. So to provide to this we also have this idea of sending notifications. We have to be a little careful here because you don't want to just keep sending notifications it just becomes burdensome for the person receiving them. But if you can be a little bit selective in terms of sending these out, you can kind of say well, this particular data quality issue now exists, based on the validation rules we've defined. So please follow up on this issue. You can send these via SMS and email at the moment within DHIS too. So you can send those outside of the application so maybe for someone like an M&E person and M&E focal point who maybe isn't logging in all the time you can send these out and have them kind of access specific areas where there's problems. So these two in particular they help a lot with this kind of idea of automated checks, because you can schedule this to run once a week. You can do it once a month, whatever. Okay, and check your data and send out these notifications automatically when it detects there are problems in the data. Now remember you can also do this at the facility level. So the user can check their data as they're entering it. Right. So it's kind of this combination of these two ideas. So we talked about outliers a little bit. There are quite a different, quite a few different tools we can use to identify outliers. I showed just some examples of some simple charts. I showed an example of a table that kind of highlights the value in a red color kind of gives you a good idea based on what you defined. We also have some additional tools that allow you to identify outliers based on the Z score and then standard deviation for those of you who are familiar with those terms. Okay, we also have what we call kind of predictive analytics, and we use these to kind of identify. There are many use cases I guess right for example for thresholds for surveillance, you could use them, you could use them to identify potential outliers or problems with the data, with the data that you've received. So, so as an example here, I'm just, I have this table up here, and you can probably maybe tell, but there's there's kind of like an obvious outlier here right. This one here is 25,000. But right now showing me all the values and I kind of have to look through it it's not super intuitive or easy to identify. This is very obvious but in some cases it might be less obvious. What we can do is actually just extract those values out that are problematic and give you a summary of those instead. So it's a different way of presenting the data, but in this case I'm just showing potential problematic values rather than showing all of my values. Now maybe this is not something everyone should see necessarily, but it does help you to identify specific areas where you might need to follow up. For example, and we can use some kind of specific formula that we set up to identify those values and then extract those and put those on kind of on a separate piece of information for people to review. Here's another example here and it's a little bit simpler to see. So we have the red bars here which is our number of A and C first visits, and then the green bars here which is the A and C one threshold, which we've defined maybe some type of formula to allow us to calculate what that threshold might look like. And we're able to compare our actual reported value with our kind of threshold value. So if there are any values that exceed that threshold, and we're able to kind of figure out if something went wrong in that process, and we can also set up a comparison. So we could compare these values kind of on a routine basis we could schedule that comparison, and then it could I the system could identify or if there were any potential issues identified through that process. Okay, so within the the DHS to kind of platform. We also have this additional kind of tool on this WHO data quality tool. I'm actually all of that the back and on will have a lot of information on this as well. I'm just going to show a little bit of it. So you can see what it looks like. There are four kind of key measures that are identified within this tool that is completeness and timeliness, I think we all have generally agreed what that looks like internal consistency which is the comparing the data within your system that you're collecting external consistency where you're comparing data within your system with with data outside of your system, or collected via another process perhaps, and the consistency of population estimates so just. Here's an example of what this tool looks like. And we will actually talk a bit more about extensibility of the platform. Later on, but just an example that you can, you can add kind of some more features and functionality in general to DHS to as a platform. It's not just relegated to what you what you get in the first place. Of course we try to maintain and use those features as much as possible. So there are specific things that we want to do outside of that. So this is an example of when we first access the tool. And this tool, what we do is, is we basically tell it what we want to see. We tell it what kind of measures are acceptable or not. We tell it how to identify a potential outlier with with our data, and it comes kind of pre built with some suggestions for us to use. And we can modify those suggestions, we can kind of say, you know, how many standard deviations away from our particular value. Do we consider an outlier, you know, various parameters like this. But it's all defined by the user, you know what we see here. So here's an example of completeness and timeliness measures. We have a couple different programs, ANC, EPI or immunization, our routine HMIS collection form maternity. Okay, so we're also just like where this whole idea of integrating our data together in one system. We can also look at measures for all that data together. Right, we don't have to separate it out necessarily and do it all in separate pieces. So in consistency time, you would have seen some of this in the slides as well. We can create similar measures inside of DHS to as well. But just so you get an idea kind of, of this tool and what some of the measures that you can create look like. And this was the outliers table that I was pulling out and I used in some of the examples. You can see here, you know this kind of red identification of these outliers it's very easy to kind of utilize and interpret it. So we have a number of pieces of guidance in terms of how you can kind of train people quickly on how to interpret this and use this at the in the field level. So within this tool we also have kind of a summary of different kind of values and measures of data quality. So it aggregates all those different values that we were talking about on those four dimensions that I mentioned that I, sorry, identified earlier. So completeness timeliness internal external consistency and our population estimates, and we can actually produce this kind of report. We're actually working on a small kind of variation of this as well to make one that's a little bit more flexible. But you can see here for example it outputs the various data based on what we've defined and we can add, you know, comments interpretations things of that nature can print it out. So it does help right because for example if I access this dashboard. You know it's not something that has to be done annually. Right, that's the whole idea behind a lot of this. You could just run this check every month. If I ran this in the facility and have identified kind of several types of data values that I think might be problematic. I could just get the facility user to run this type of report at the end of the reporting period. And they probably quickly be able to identify some of the values that are incorrect. So it does help kind of facilitate some of this. The tools can help facilitate some of these processes on at the facility level. So can you head back to Mentimeter real quick. I'll just ask you guys another question. Okay, it's the same Mentimeter if you kept it open. Let me just, I've changed the question so in case you do want to answer it, you can. And here's the question for those of you who are wondering, we have clear procedures for managing data quality in our systems. So this could be DHS to this could be something else. Okay, just in general with your health data. Do you have a process outline for reviewing that data. Okay, so we have quite a few yeses, which is surprising. So I'm very curious to see what you guys have. Hey, but that's very good to see. Okay, so I'm going to keep it here. Okay, so a lot of you said yes. So now I'm curious what you include in those processes. Okay, what should you include in a data quality procedure. And for those of you have ones written up, this should be very easy right. Just a moment to to write some responses. Okay, so we have quite a few responses here and you know they are, they are varied and I think it's quite good, a good representation. I've just listed some items that I might include just so you can compare. I think some of them were missed. What do you guys think no one really talked about who's responsible for doing what in the system. What do you guys thought about the tools. We should look at outliers. We should have some specific business process. Right. That's all important. Right. But when we have procedures we really need to identify who's responsible for what one should it be done. What is the timeline that it needs to be done. Okay. What are the actual processes for changing these values how do we follow up with facilities. Right. All these kind of little details right the challenge that we often have. Okay. I think this is one of the biggest challenges we often have when we're looking at data quality. Right. I mentioned a lot of interesting tools. Okay, a lot of different features you could utilize. Right. And that is very good I think it helps us facilitate as I mentioned, it makes things a lot easier to expand the ability for us to review data in our system. But without clear procedures of what to do when we actually identify those values, it becomes very difficult to improve the quality of the information, because we are able to identify the value, but then we don't know what to do next. Right. So we just want to make sure that this ties together, especially now, if you're thinking more about an integrated system design like I said, you will have many programs data contributing to the system. Right. And the last thing you want to end up with is a system where you can't trust the values. Right. So I'm going to end it there, because I think it's time for the break. But if there are any questions, feel free to grab me. I'm happy to discuss this with you further. Several of us are are available and can discuss this area with you. I hope this was useful. Okay, if there's any feedback about the session that you want to change, we can do that. If you're interested in learning more about the features themselves, I think we could arrange a little bit of time to show you in a bit more detail how those things work and how the actual features work inside DHS to and how you can review them. Right, but we can take our break. I think Alice, do we have the photo now. Yeah. Okay, so everyone stay in the room, please. We'll take that group photo. Yeah, we can. Hey, thanks. Yeah, thanks. Thanks so much for the presentation. Really, very insightful. I have a question on the monitoring use of DHS to there have been many times where I've been asked to kind of provide. Yeah, to kind of to kind of provide statistics on the use of DHS to like how many people are able to access DHS to have been able to retrieve that information. However, I'll face some challenges in terms of aggregating that data so that I'm able to split that, for example, District X. There were so many users that were able to access DHS to at a particular time. I was wondering if we have a feature in DHS to that we can take advantage of to retrieve such kind of statistics, because having these statistics in a gated form, provide problems especially for programs where you are implementing in the selected districts. Yeah, so, yeah, so that's what I'm looking forward to if I can be guided where to go in DHS to and be able to get or retrieve that information so that next time I don't have face such challenges. Sure. Thank you. Sure. So there's there's kind of two ways that would be supported I think one gets you halfway there and then the other might need a little extra push. So we have this feature in DHS to called usage analytics. This helps you identify how often people are accessing certain applications, what they're opening within those applications, etc. So we have some tools that all of them the implementation team have developed that lets you know, for example, how many times certain charts are being opened or you know kind of the usage of these actual items that are in the system. In terms of kind of getting some of that extra information that you're requiring how many users per district are logging in for how long etc. So there may be some other ways to go about that maybe through either this this API that we have, or the sequel by directly accessing the database. So I think we could probably show you some or just mentioned, you know, some resources for you that you could have a look at in order to generate some of those. So between these different features I think they might be able to assist you in some of these areas. Yeah. Let's all come up and let's do the group photo because I don't want to take time from your break but if you do have any more questions for me. I'm happy to answer those whenever just grab me and we can set up some time for that. Thank you.


Hello, traders. This is Falstow from Cyber Trading. Just want to kind of educate you guys a little bit and talk a little bit more about the book viewer. If you watch me on Nasdaq, I talk very frequently about the product and want to kind of get a little more a little detail on something that we call is an iceberg order. Well, what is an iceberg order? Well, an iceberg order is a big block order that actually makes what we call support and resistance levels. And if you notice right here, we're looking at the Nasdaq book viewer in AMRN and over here on the left hand side, these are your buyers and right here are their sellers. And this is what I also call level three. And right over here on the right, you'll see this is a level two version of it. Same thing, but you're seeing 20 times more data. Now, the big thing I want to point out is this. We're looking at a stock called MN, AMRN, sorry about that. And the stock had moved up to about five dollars and 20 cents about nine third this morning went all the way up and came close to this six dollar resistance levels. And you'll notice it was having a very difficult time getting close to six dollars. Now it kind of more or less stopped at 590. Why did the stock stop right around close to the six dollars? Well, remember what makes supports and resistance levels is buying and selling.  I mean, you don't see a lot of orders. You're just seeing the best bid and best offer. But when you look over here on the book viewer on the right, what makes resistance is sellers. If you work your way all the way down and you'll notice right about here at the six dollar price range, there's a 71,000 share seller and that is made up of 146 people. That is a lot of orders. A lot of people trying to get rid of the stock makes up 71,000. Now, listen, there are 900 share sellers. There are 4,000 share sellers. There are 3,000, but 71,000 is what we call a substantial substantial resistance for the stock to go higher because you're coming up to a lot of people at six dollars and that, ladies and gentlemen, what would give you the explanation of watching the stock going up really nicely, not having a game plan to get out at six, even just before it because you didn't look where you are now. Now you're down to 570, which means it's probably going to come all the way back down to where the next people look in the buy it because you need buyers to make support levels. So you have to work your way on the buy orders and you're going to have to look down here. And the only place I see a significant buyer is right around here, 17,000 shares, looking to be bought at 550 at 34 different orders. So as a beginner, as a trader, the big thing that I was always taught that if you want to trade today's markets, you have to learn how to follow the money and you need to follow the orders. And the book viewer is what a tool that we use to go out there and find those orders. And that will help explain what makes support resistance levels. So if you like this video, just like us down here at the bottom, because I'm going to be doing more of these videos for you and more examples to see what it's like to follow the dominating orders out there, what make these support resistance levels. Once again, if you like us, like us, and feel free to subscribe to us and we'll be sending you more alerts with videos just like this one. Thank you for watching.


Welcome back after the break. Just before we went for our break, we were looking at Paul writing to the churches at Galatia Ephesus and Corinth and he's talking about how the works, what are the works that will disqualify them from inheriting or experiencing the kingdom of God. So, you know, we can say, some of them have written here, Prabhu says, faith without beads is dead. Yes. And Nina John says, works follow salvation. Works follow salvation. I would say salvation follows works. When you're saved, it shows in our works. Okay. So, Nina John, can you please close that door? Okay. Thank you. Oh, sorry, Nina. Nina John was wondering. Okay. So what is he saying?  We can ask the question. Hey, Paul, when you're saved by grace to faith, and where does this works come? You know, how can you say we cannot inherit the kingdom of God? We can't even experience because as believers, we both saved by grace and we are all inherited the kingdom of God. So Paul will say, I know you saved by grace, but I'm telling you, you cannot practice these things. Okay. Because it's not part of kingdom living. And if you practice these things, you know, he's saying, you know, let me tell you that you will not inherit the kingdom of God. Okay. So Paul is saying, you know, yes, you're not saved by works. So I'm not saying you must do works to be saved or you need to keep the law to be saved. You know, but what I'm saying is, you know, you need to have good works of holy life to show that you are saved. So Paul is saying, you don't need good works to be saved. And I know that you're saved by grace through faith. But what he's saying is you must have good works or you need to live a holy life, a righteous life to show that you are saved, which means salvation and sanctification will go together. That is why immediately after you are saved, you've accepted Jesus Christ as the Lord and Savior. You know, the Holy Spirit works in you to sanctify you. What does it mean your sanctification to set you apart to cleanse you to wash you to make you like Jesus Christ. So salvation affects sanctification in the life of the individual. So Paul is very clear. He says those who practice these things and he's writing to the church, he said they will not inherit the kingdom of God. So we can say what about the grace of God? Look at what Hebrews chapter 12 verse 28 says. What does Hebrews chapter 12 verse 28 say? Hebrews chapter 1 verse 28. Okay, he says therefore since we are receiving a kingdom which cannot be shaken. So Jesus saying this is the kingdom, which means this is the best kingdom is the eternal kingdom. And it's a kingdom that cannot be shaken. And so he's saying let us have grace. Okay, so the literal meaning is let us appropriate or let us receive the grace by which we may serve God acceptably with reverence and godly fear. So he says because you've received a kingdom that cannot be shaken, which is an eternal kingdom, a kingdom that lasts forever. He says, you know, let us have grace, which means let us appropriate the grace that has been given to us. Let us receive the grace by which we may serve God acceptably with reverence and godly fear. Okay, so we've been called here in this kingdom. So let us appropriate that grace. And what will this grace do? Help us to live that godly life, which will lead you into reverence and godly fear, not in the other way. Okay, so what will the grace of God do? Grace of God does not just overlook your sin or cover your sin. The grace of God will lead you into reverence and godly fear and not in the other way. If you're talking about receiving a grace that, you know, liberates us into sinful indulgence or gratifying or gratification of our sinful desires and being casual about sin, then it's not the kind of grace that we are talking about. It's not a grace that comes from God.  It's not the kind of grace that is given to those who are in the kingdom of God. Okay, rather, if you're using the grace of God to indulge into sin and say, hey, we have greater grace. You know, people say that, right?   He's forgiving, he forgives me. I say, why are you judging?  People have told us that, right? When we point out their sin, he's saying, hey, God is gracious.  He is a loving God. He's a forgiving God. But you know, when you're misusing that grace, you know, that grace is not given to us from the kingdom of God. It does not come from God. It is misunderstanding and it's misrepresentation of the true grace of God. So we are misunderstanding, misusing and misrepresenting the true grace of God. Because the grace of God will move us into a greater level of reverence to God and Godly fear. If you're not moving to a greater level of reverence and Godly fear, then you're not talking about, you know, the grace of God. So what about the grace? It's the grace that helps you to develop kingdom, lifestyle. It's a grace of God that will move you further and deeper into walking the way God wants you and me to walk.  Can you read that please somebody? 1 Thessalonians chapter 2 verse 12.  Another characteristic of kingdom living is righteousness, peace and joy. Righteousness, peace and joy. Look at Romans chapter 14 verses 16 to 19. Can somebody read that please? So the kingdom of God is not eating and drinking, but righteousness and peace and joy in the Holy Spirit. Who he who self-cries in these things is acceptable to God and is acceptable to man. Therefore, pursue the things which makes people peace and the same by which one may identify another. Amen. So the kingdom of God is not about biryani and chicken kabab and pasta and pizza and burger and all of those lovely things that we like to eat. But it's about righteousness, peace and joy in the Holy Spirit. So he says those who serve Christ in these things is acceptable to God and approved by man. So he says therefore, let us pursue what makes peace and the things which edify one another. So basically righteousness, peace and joy are things that make for peace and that edify one another. So in Romans chapter 14 Paul is basically addressing the subject of what you should eat and what you should not eat. And in that context Paul makes several things or several statements and then finally he sums it up this way. He says, you know, listen at the end of the day, the kingdom of God is not about what you eat and drink. It's about righteousness, which means right standing with God. It's right living before man. It's peace and joy that comes from the Holy Spirit. And he says, if you pursue these things are accepted by God and you will get the approval of man. So what's the point here? The point is this as a kingdom person, you and I must understand that we are called to pursue the higher things of righteousness, peace and joy. And if need be, we sometimes even sacrifice our own legitimate rights to what we should eat, what we should drink in order to pursue what promotes righteousness, peace and joy. So in this context Paul is basically saying, if I eat something that causes my brother to stumble, I won't eat it. Why? Because for me, righteousness, peace and joy in the Holy Spirit is more important than what I eat and drink. And he says, that is the kingdom of God. So what is he saying? You know, we may have some legitimate rights, what we can eat, the way we can live, what we can do, what we cannot do. You know, you have some legitimate rights, some things that you have the rights to. But if you're pursuing the kingdom of God, you will pursue what promotes righteousness, peace and joy, so that that will identify people around you and will extend the kingdom of God. So this is how we need to look at and live as kingdom people or kingdom citizens. Now this, just think about this issue, you know, we have a problem mostly with young people.   So if we tell them, you know, don't do that. That's not like our culture. That's not what when people look at us, especially in the church context, if we do it, you know, what would other believers think? They all always think that we Christians are very free in the way that we live and eat in our lifestyle. You know, so when we tell young people, there's some of them, you know, sorry for being very crude, but they say, hey, I'm not making a pregnant. You know, that's their response.  But as a kingdom person, you're going to pursue something that is higher, something that is greater. You're pursuing righteousness, peace and joy in the Holy Spirit, so that you can identify people so that you can promote the kingdom of God. And you're willing to sacrifice these legitimate things of what you can eat, drink, what you think you should be able to do, what you think the world is doing.  But I don't see the point why we need to keep hugging everybody that we go meeting around, you know. Okay, just put your arm around, but why? Sometimes it's not even the way that is done is not right.  We're pursuing the kingdom of God and because you're a kingdom person, you know, you'll do what you have to do to get God's approval and the blessed approval of man because that is the kingdom of God. So kingdom of God is not just getting approval of God, but also of man. So when people look at us, you know, they should not think otherwise, hey, this person is going around hugging everybody.  Okay, so we need to pursue what, you know, gets God's approval and also the approval of man. Okay, that's the kingdom of God. Another characteristic of the kingdom of God is power, authority and dominion. Now we'll talk about this in detail in another chapter, but just like you mentioned here that the kingdom that is in us is a kingdom that is of power and authority and it's a kingdom that supersedes everything that is around us. A kingdom that overpowers everything around us. So the king of the kingdom, he is in us and he has given us the keys of authority and as believers, he has the vested power in each one of us. So wherever we go, the kingdom of God goes with us and wherever we go, we carry his kingdom power and we carry his kingdom authority and we carry his kingdom dominion. Which means the kingdom of God is there. So for example, when you step into an unpleasant, bad or a difficult situation, what do you need to know? The king is there with you in that, in your midst.  And you also have the potential and the power to dominate that situation.  But you will live and allow the kingdom of God that is inside you to come out and administer the authority of the kingdom. And you know, you will, when you do that, you will experience your situation change, you will experience power. You will experience, you know, the authority to dominate the situation, to speak into the situation and you will see your situation change. Okay, so this is, this kingdom is a kingdom of power and authority and dominion. Look at what Paul wrote in 1 Corinthians chapter 4 verses 19 and 20. When somebody read that, please, 1 Corinthians chapter 4 verses 19 and 20. I would want to be sure if you know this and I would know. Not the words of those who have perfect power. But you know God is not only the word of the kingdom of God. Yes, so here he says the kingdom of God is not in word but in power. Okay, so Paul says when I come among you, I don't want to, I don't want to know about words for the kingdom of God is not in word but in power. So what is he saying? He's saying that this kingdom that I'm talking about is not a kingdom of nice words that I can talk about. It's a kingdom that comes with power to destroy the works of the devil, to dominate the works of darkness, to undo sickness and disease. And he says that is the kind of kingdom that I'm talking about. Okay, it's a kingdom that comes with power and just totally removes what darkness is doing. And he says this is the kind of kingdom that I'm talking about. Okay, even when Jesus was among his people, he said, you know, what does he say? You know, if I do things by the spirit of God, you know, if I'm casting out devils, how do I know? How do you know that I'm doing things by the spirit of God? Because when I cast out demons, when I cast out devils, and you know, when I do it by the power of the spirit of God, the kingdom of God has come amongst you or the kingdom of God has come to you. So this kingdom, when it comes, it drives out devils. Okay, when Jesus sent his disciples and he asked them to go and preach saying the kingdom of God is at hand. And what should you do? The kingdom of God is at hand. Heal the sick, cleanse the lepers, raise the dead and cast out demons. Okay, so he says, when you go preaching about the kingdom of God and saying the kingdom of heaven is at hand, it should show by your power and it should show by your authority. How? It should show by demonstrations of healing the sick, cleansing the lepers, raising the dead and casting out demons. Okay, so that is the kind of kingdom that we are talking about. And this should be part of our lifestyle that when we go out, we are carrying the kingdom of God with us. Okay, I'll just remind it of a little incident which I, you know, listen to. There's one of the churches that I really admire. It's a very powerful church. And, you know, in this church, the pastor was saying that, you know, another sermons, he was saying that, you know, there was a believer who just came visiting the church. And after church service, he met this pastor of this church. And he said, you know, I want to be part of the team that goes for mall outreach. Okay, so the pastor looked at him very puzzled. He said, I'm sorry, we don't have a mall outreach.  They have, you know, they've spoken words of comfort and encouragement. They spoke in destiny to people's life.  So I want to be part of that, that ministry. So, you know, the pastor looked at him and smiled.  But he says that whenever our members go shopping, they just sense the need, they just step in and they just minister, you know. So this discharge is really so powerful that even when they're having conferences, even people at the registration desk, you know, even before people come in and experience the power of God and worship and ministry time, leave alone all of that, they just come to the registration desk and they are ministered to. You know, they receive word of healing or, sorry, word of deliverance or healing or, you know, word of knowledge, word of wisdom, prophecy, just at the registration desk. So he says, when our members go shopping, they just see the need, they step in, they heal, they get people saved, they get people delivered.  That is their whole agenda, that is their whole purpose. Okay. So, you know, likewise, we too, you know, wherever we go, we carry the kingdom of God in us and we need to be aware that the kingdom of God is in us. And wherever we go, the God wants to release his kingdom, power, authority and dominion in and through us. Okay. Amen. Okay. Okay. Another aspect of kingdom lifestyle is endurance and suffering. Okay. So please follow in your books. I think some of you are already going off to sleep. It's Monday morning. I think it's a Sunday blues. Okay. Endurance and suffering. Chai, you didn't get another cup of tea for yourself. Don't worry. Don't be disappointed. It fell down. It's okay. You can go and get another cup of chai later on. Okay. Another aspect of kingdom lifestyle is endurance and suffering. Okay.  Who's an ambassador? Representative. Yeah. A representative. Somebody who represents their country in another country. Okay. So meaning we are told, we are totally from a different country, a totally different culture, a different environment, a different kingdom. We belong to the kingdom. That's not of this world. And we are here in foreign territory, so to speak. Okay. And therefore we will feel pressure. Right. We will be accused. We will face persecution, but we need to endure those things here on. It's part of kingdom living. Okay. Now, sometimes we get this wrong idea that we belong to the kingdom of God and we are the king's kid. Okay. Or the king's son and daughter. K. King's kid. Okay. It's true that we are the king's kid, but we tend to, you know, imply that everything is going to be easy for us.  Everything is made available for us. So we think everything is going to be very easy. They've got promise. Everything is going to be easy for his kids. No. Okay. Did he say, you know, everything is going to be easy. No, he said, Hey, you are my kids. Yes. But he didn't say that you're not going to suffer. He didn't say you're not going to go through persecutions. He didn't say you're not going to face any problems or difficulties. And he didn't say that you don't need endurance. Okay. He didn't say that you won't be persecuted. Yes. As a king's kid, you know, we are in foreign territory right now. And we are here on this earth and we need endurance. We need perseverance. We need grace. We need strength to go through some adverse difficult situations. Some circumstances. Sometimes, you know, we create it for ourselves. Sometimes we don't create other people create around us create it for us. And they're like, God, you know, why is this happening? Why am I in this? I didn't do anything. But part of kingdom lifestyle is endurance is willingness to go through suffering is willingness to go through some hard times. That is kingdom lifestyle. Amen. Okay. Okay. Look at one verse in 2nd Thessalonians chapter one versus four and five. Can somebody read that please? Okay. So that we have those of you among the sources of for your patience and faith in all your persecutions and tribulations that you endure, which is manicness, evidence of the righteous judgment of God, that you may be counted worthy of the kingdom of God for which you are or which you also suffer. Amen. So Paul is saying, you know, he's telling the church at the Thessalonica that, you know, here I've called. Now you're going through some real difficult situations. You're going through some hard times. But he's saying here, I want to let you know this, you know, look at it this way. You know, he's saying, this is an evidence that you've actually been called into the kingdom of God. You know, they might be looking for some kind of help from Paul. But what is Paul saying? Yeah, I want to let you know that this is just an evidence. And even as you're going through all this problem is something that you are called to be part of the kingdom of God. That is what it is. Okay. It's an evidence that you are now part of the kingdom of God. And therefore you are facing all of these problems. So go through it.  So what happens? Why when God takes us through all these persecutions, difficulties, what happens to our faith? Our faith is not going to become wayward. It's not going to become weary.  It's going to come out as gold. Okay. So part of kingdom lifestyle is endurance and suffering. Another characteristic of kingdom lifestyle, Sean is forgiveness. Forgiveness is another important aspect of kingdom living. Okay. Now Jesus told many stories and every time he began some stories, how did he begin? A parable and how did he begin the parable? The kingdom of God is like this. Or the kingdom of God is like this. Or the kingdom of heaven is like this. Okay. So he's basically saying that the story reveals something about the kingdom of God. Okay. So let us look at one of the kingdom parables about extending forgiveness in Matthew chapter 18 versus 23 to 35. So can somebody read that piece? Give it to Sean. Let him read. It's almost falling asleep. Okay. Thank you, Sean. Therefore the kingdom of heaven is like a certain king who wants to set an account to the servants. And we had bigger to set an account. One was brought to him over 10,000 talents. Then he was not even to fail.  And in the payment debate, the servant therefore fell down before and saying, Master, have patience with me and I will pay you all. Then the master of that servant was moved with compassion, released him and forgave the dead. That servant went out and found one of his fellow servants who owed him a hundred and a hundred and nine. And he laid hands on him and took him back to the same, pay me what you owe me. So the servant fell down at his feet and paid them the same.  And he would not. But when he went to prison, he should pay the next one. So when his fellow servant saw what had been done, he was very pleased. And came and told their master all that had been done.  Should you not also have had compassion with fellow servants? There is a line of pity on you. And it's the master of all. He delivered him to the torturer until he should pay all that he would have to do to him. So my Heavenly Father also will do to you. Each of you, from his heart, will not forgive this problem which has passed on. Amen. So here we see in this parable, you know, a servant of a master owes him to say 1000 rupees. Okay. So he finds out that he's not paid him back. And he says, get him, sell everything that he has, including his vibrant children, and let him pay back the debt. And what does this servant say? He begged him for mercy and, you know, for grace. And what does this master do? He just forgives him, writes off his debt. So he's very excited, he's very happy, you know, 1000 rupees. Just imagine he's running home to tell his wife. And on the way, he sees somebody running away from him and hiding. And he notices that it's one of the servants who owed him just say 100 or 20 rupees. What does he do? He runs behind him, catches him by the collar, maybe gives him a nice shake and tells him, where is mine? But he haven't paid it back.  Time he begs and he pleads. But does he forgive him? No, what does he do? Yeah, he puts him into prison.  And what does the master do? He's very, very angry and what does he do? He delivers him to be tortured until he should pay all that he had to pay. So what is Jesus basically saying to this parable? Sorry? God has shown you forgiveness, so you forgive others. God has shown you mercy. You show mercy to others. What else? Do to others as you would like them to do to you.  You're going to be judged. This is how the kingdom of God is. This is the principle of the kingdom. What is the principle of the kingdom? As much as you have been forgiven by God, God expects you to forgive those who offend you. God expects us to extend his mercy and forgiveness to those who have wronged us in the same manner in which he has extended his mercy and grace into our lives. So extended forgiveness should be unconditional and should be freely given and that is kingdom lifestyle. Yes. What standards we use to judge others and forgive others, the same standards will be used against us. Now forgiveness does not alter. Sorry. Can you take the mic? Forgiveness does not alter the thing that has happened. It does not change the thing that has happened, but forgiveness releases us from having any kind of bitterness, anything kind of hatred and anger that we can hold against that person. What has happened has happened. We can't reverse those things that have been said that has been done. There's nothing that you can do to reverse it, but you can do things that there's something that you can do not to hold the bitterness and hatred in your heart against that person and that is forgiveness. Forgiveness, Jesus said, is part of kingdom, living kingdom, culture. Yes, Prince. God forgives us, but we should not continue to do something wrong. So my question is, what if the other people continue to make things wrong again and again? So what are our responses like? What does Jesus say? Forgive 70 times. What does it mean? You can't count the number of times. And what does the word of God say? He says, as far whatever you can do, pursue peace. And it says be patient. Be long suffering. What is long suffering?  It does not mean that you just take every thing that the person is doing. Like suppose somebody is abusing you physically or sexually, you can't just keep on saying, I'll keep forgiving and let the person do it. Or somebody is cheating you. You can't say, hey, process forgive you, continue cheating me. It's not that you do. You take that step. Wherever you need to take action, you take the necessary action. You step out. You protect yourself. You do something. You get help.  Make sure that the person is not continuing to cheat you. Stop all of those things. But what is saying? It's saying forgiveness in your heart. Don't hold anything bitter or anything against that person. And don't repay that person evil thought. As we have told, if they were doing something wrong, there is something we have to forgive, but something we have to take a step and draw those lines and keep them alive. Yes, you have to take the steps and... Even God does the same. Even if we are continuing to not doing something that breaks his heart, even God says, okay, God is enough.   Is that the same place to... What is the Bible saying? One minute. What is the Bible saying? Does God keep us away? No. No. Does God keep us away? It grieves his heart. It punches his heart. The Holy Spirit... He stays away from us. He stays away in the sense. He's there in us. He keeps prompting us, but when we don't listen, what does the Word of God say? God gives us into our sin. He allows us to do what we... Because He's given us a free will to choose. But our conscience and the Holy Spirit, the conscience that Paul says in Romans chapter 3, he says chapter 2 is a written law that is in our hearts. For those who want to have the law, Jews have the law, the Gentiles don't have. He says there's a conscience, a written conscience of the law, a written conscience in your heart. He says the written law in your heart and he says that is conscience. So your conscience picks you, but God is not going to keep you away from him. He loves you, but his sin hurts him. It hurts him, yes. So it's like God won't keep us away, but we will be going back to where we are. Yes, the more we go away, the more we are indulging in sin.  Yes, he leaves us to our free will each time. But then when we go back, he accepts us and he receives us as a father. The best example of this is the prodigal son. The prodigal son went away, but what did the father do? What did he do? What did the father do? Every time the son went away, what did the father do? He sat, he waited for his son to return. He went only once, but then it doesn't mention, but it implies that he was living a wayward life from a long time. He made a decision where to step out of home. Yes, that was his last resort where he stepped out. But in spite of him being lazy and not going and doing his work and not honoring the father, the father still kept him at home, didn't throw him, still loved him. Even when he said, give me my inheritance, the father tried to stop him and he did not. So the prodigal son is a very, very good parable to understand God's love and the way he works with us. The original sin of God is not that God was in from the Christian, at least it's ego away from God. Because sin is everything that's in God. It keeps getting bigger and bigger and bigger and it takes a huge gap in our sense of God. Yes, sin takes us away from God. But even you see in the Old Testament, there is a light sin against God, but what was God doing? He was like a mad lover just moving them back. You say, come back to me, come back to me, come back.  So it just showed like a lover just going behind his son, like a husband going behind an adulteress wife because they were committing spiritual adultery. So we see how he keeps going behind them, moving them back to himself. Just look at the Old Testament. The Old Testament is just about how God is like a mad, passionate lover just moving back his people to himself.   You will be like a great nation. I will bless you. That is the God that we have. Does that help, Prince? Another important characteristic is stewardship. Okay. So this gives us another story in Matthew chapter 25 verses 14 to verse 30. Can somebody read that please? So Jude 7 is like a man coming from far and green who called his own servants and delivered his goods to them. And to one, he gave five talents to another two and to another one to each one according to his own ability and may be they went on a journey. Then he who had received the five talents, went and traded with them and made another five talents. Likewise, he who had received two, gave two or four also. He who had received one went and done another one and gave his Lord one. After a long time, a lot of those servants came and sent in a thousand talents. So he who had received five talents gave his Lord five other talents saying, Lord, he delivered me to five talents. Look, I have gained five more talents this time than him. His Lord sent in him. Well done, good and faithful servant. You are faithful over few things. I will make sure you know about many things. And then to the joy of your Lord. He also who had received two talents came and said, Lord, deliver me two talents. Look, I have gained two more talents this time than him. His Lord sent in him. Well done, good and faithful servant. You are faithful over a few things. I will make sure you know about many things. And then to the joy of your Lord. Then he who had received the one talent came and said, Lord, I knew you could be a hard man reading various books on and gathering various books at a scene. And I will pray and share your talents in the drama. Look, there you have gotten yours.  You knew I would read where I had not shown. And the other where I have not scattered speech. You ought to have been called in by the bankers that have received back their own interest. So take the talent from him and give it to him who has ten talents for everyone who has more, whoever has more will be given. And he will have abundance. But for him who does not have, even what he has will be taken away. And cast the unpopular servant into the outer darkness. There will be weeping and gnashing of weeping. Amen. Thank you. So Jesus is saying, the kingdom of heaven is, you know, like this, you know, the kingdom in the kingdom of heaven, I expect people to be good towards of what I have given. Okay. So it's not important how much he's given us, how many things he's given us. What is important is what you do with what he has given you. It's not important how much you receive five, two or one, but it's important about what you do with what he has given you. Some of you may have little, some of you may have little more, some of you may have a lot, a whole lot more, but he's not going to ask you how much I gave you. He's going to ask you, what did you do with what I have given you? Did you double it? Did you multiply it? Were you a good steward of what I have given you? That means, are you a good steward of the time? You know, I've given you. Are you a good steward of the opportunities that I've given you? Are you a good steward of the contacts, the talents, the abilities, the revelation from his word that he's given you, the opportunities that you are here to learn. There's a whole lot of things that he has given us, but he's expecting us to be a good steward. So God is asking you today, as students in the Bible college, are you a good student of the time and the opportunity that you're using the time and opportunity to study his word?  God is saying, are you using your time profitably to study this time to study, to prepare yourself so that I can take you into and launch you into ministry? So how are we using the money that he's given us, the opportunities that he's given us all?  And he's saying, now we need to be good stewards, that is part of kingdom, lifestyle. So if you're not using it, then we are accountable to God. Another characteristic of kingdom lifestyle is no partiality. We read in James chapter two, in somebody read that, please, James chapter two verses one to five. My brethren, do not hold the faith of our God deep inside the law of glory with partiality. But if they should come with the idea of assembly like that of whole race in finer times, and there should also come in of whole man in filthy clothes, and you pay attention to the one wearing high clothes, and say to them, you sit here in a good place, and say to the poor man, you stand there or sit here at my footstool. Have you not shown partiality among yourself and become judges with evil thoughts? Listen, my beloved brethren, have God not chosen the four of this world to be rich in faith, and tell to the kingdom which he promised to those who love it? Okay, amen. So here Jesus is saying, in the kingdom of God, we need to treat everybody equally or the same.  Why? We are all children of God. We are all the heirs of His kingdom. Okay. And we do nothing out of partiality, and that is kingdom lifestyle. So let us live like that. You know, let us reach out to the poor, to the rich, those who are educated, uneducated, people of all ages. We need to reach them out for the kingdom of God. Okay. And the word of God says, you know, that we need to give honor to whom honor is due. Okay. The word of God says, we hold in high regard those who, you know, who, sorry, we hold in high regard those who serve the Lord and those who labor in the word. Okay. And those who give spiritual oversight, like we read in 1 Thessalonians chapter five versus 12 and 13. But yet in the way we do things, we should not show partiality or we should not provide potential treatment based on earthly criteria like wealth, like social standing, like even gender differences, you know, giving this in 1 Peter chapter three verse seven, but treat everyone equally and give everyone the honor that is due to them. Okay. We'll stop here. We just have two more points in this chapter and we'll look at it next week. Anyone has any questions? When so fast. Yes. Time flies. Okay. Anyone has any questions? Online students? Anyone has any questions? Anyone has any questions? Okay. There are no questions. Okay. Thank you, Anthony. Thank you. Any questions? Okay. If there are no questions, we'll end class. Thank you everyone for joining class and have a blessed week ahead. God bless you all. Thank you.


Most of us have seen a huge inflation in food prices in the last year. What's behind our inflating food prices? Here are five big reasons. Higher energy and fuel prices. Rising energy prices means an increase in the cost of powering the machinery used to grow, harvest, transport and process raw foods. Higher fertilizer prices. Natural gas is a key raw material for producing synthetic fertilizers used in agriculture. Global natural gas prices recently hit a 14-year peak. Prices have also been impacted by Russia cutting its exports of fertilizers. Increased shipping costs. Increased fuel prices means increased shipping costs. Countries that rely heavily on global supply chains will see higher inflation rates, particularly for high-import countries, landlocked countries, island countries and low-income countries. Weakened currency. Many countries now have a weakened currency relative to the US dollar. Weakened currency means higher import costs as imports are mostly denominated in dollars. In 2022, the US dollar became stronger than the euro for the first time since 2002. Export restrictions. With the ongoing war in Ukraine, high energy prices and short supply of fertilizers, some food-producing countries have placed limits on food exports to ensure they retain enough to feed their own populations. This helps boost local food security and keep local food prices down. But it restricts global food supplies, further increasing food prices in other parts of the world.


So who was William Shakespeare again? Well known, the Bard was an English author of famous plays about a lot of different things and he lived during the Elizabethan era. But why is Shakespeare considered such a great artist? Born in England in 1564, he started his career as an actor and playwright as a member of the actors group The Lord Chamberlain's Company, which would later become The King's Company. They played in several theatres until they eventually built the famous Globe Theatre, their very first own stage. As there were only male members in the company, every role had to be played by men. But that wasn't the reason why Shakespeare's plays like Othello or Hamlet were very popular. To match the various tastes of a diverse audience, Shakespeare created texts of high complexity containing relatively simple plots as well as subtle nuances. Being the key to his success, his stories also contained multiple interlocking plots, twists and confusions containing something for everyone in the audience. So it wasn't just the common people who enjoyed his works, his company even played at the King's Court for the amusement of the aristocracy. Besides the plays, Shakespeare also wrote a multitude of sonnets and poems. At first, his work consisted almost exclusively of histories and comedies like A Midsummer Night's Dream and Henry VI. Later, tragedies like Hamlet also became part of his portfolio. In his work, Shakespeare used his own special language, rich in metaphors and vivid images. He even created new words which became firmly established. As a consequence, many English words used today like Lonely and Gossip make their first appearance in one of his plays or sonnets. Shakespeare died in 1616 at the age of 52. But his plays are still performed today and amaze audiences. Shakespeare's stories have found their way into many of today's movies, books and even music. And fortunately, nowadays women can also play Juliet. Thanks for watching. Drop a like. Leave a comment. Please don't forget to subscribe our channel, Design Historics. Get more updated videos from now. Click on the bell button below to get notified. See you people in the next video. Till then, it's a bye from Design Historics team.


There was a really interesting email that the House Committee unredacted here. And I mean, I just pulling up this image because this is just an amazing redaction that many journalists were trying to get for a long time. The House Committee was able to get it. You know, the unredacted version says, folks, the call with Jeremy Farrar, welcome trust, redacted. Happy to chat with any of you about this. Best regards, Tony. That's what we got out of that. The unredacted material is actually fairly interesting. I'm going to zoom in here. He's talking about these early discussions that he had with Anderson and the team and that they had the suspicion that there had been manipulation, which was heightened by the fact that scientists in Wuhan University are known to have been working on gain of function experiments to determine molecular mechanisms associated with bat viruses adapting to human infection and the outbreak originated in Wuhan. So right there, beginning of the pandemic, is Fauci laying out that he knew about the gain of function experiments in Wuhan. He knew this was a possibility. He also knew about these studies that had occurred there. You mentioned Ralph Barrick earlier. This is one of the famous studies, which is a collaboration between Xi, who was the head of the Wuhan Institute of Virology, and Ralph Barrick, a major researcher at UNC, I believe. And in this study, they created chimeric virus from a bat coronavirus in a mouse-adapted SARS-CoV backbone. So they created exactly the kind of prototype you would expect in this kind of research. And here's the kicker, the acknowledgments. Research was supported by grants from the National Institute of Allergy and Infectious Disease and National Institute of Aging and the US National Institutes of Health. So Collins and Fauci's agencies. This is a January 27th email where Fauci is being alerted for the first time that his agency sent money to EcoHealth, which is the group that was collaborating with the Wuhan Institute of Virology on this research. So very early on, he was aware that these were issues that were in the air. And so in light of all that, I want to play kind of the famous back and forth clip between Anthony Fauci and Rand Paul, where he puts this question directly to him. And it got a certain reaction at the time. But now that we know more, I just like people to see it again, maybe in a new light. So let's pull up that clip. This research matches, these are Dr. Ebright's words, this research matches indeed epitomizes the definition of gain of function research. Done entirely in Wuhan, for which there was supposed to be a federal pause. Dr. Fauci, knowing that it is a crime to lie to Congress, do you wish to retract your statement of May 11th where you claimed that the NIH never funded gain of function research in Wuhan? Your microphone. Senator Paul, I have never lied before the Congress. And I do not retract that statement. This paper that you were referring to was judged by qualified staff up and down the chain as not being gain of function. What was, let me finish. You take an animal virus, and you increase its visibility to humans, you're saying that's not gain of function? That is correct. And Senator Paul, you do not know what you are talking about, quite frankly. And I want to say that officially. You do not know what you are talking about. All right. It's official. He does not know what he's talking about. What's your reaction to that, Matt Ridley? Well, if you go back to that exchange, there is a sort of justification for what Tony Fauci is saying. It's not a very good one, but it's one that he was clinging to, which is that there are various definitions of gain of function and the specific definition in the US funding issue is that you improve a human virus, not an animal virus, to make it more infectious to humans. That's the angel on the head of the pin that he's dancing on. But as you say, then why was he using the phrase gain of function to describe this work months earlier in that email? And if you can just pull up that hugely redacted email again, it's pretty clear to me, because that email doesn't say anything terribly interesting apart from that. It's pretty clear to me that the reason for redacting that email under the Freedom of Information Act, the reason for redacting the whole email was to save Anthony Fauci's face after that exchange with Rand Paul. It's hard to believe that there was any other reason for doing that. It's certainly not to protect sources or to not invade the privacy of someone else or that kind of thing. The legitimate excuses for redaction are not there. This was a political redaction of an email in view of that exchange that had already happened. Could I bring up someone whose name you mentioned earlier in passing Ralph Barrick? You mentioned he's a very important and accomplished researcher who seems to be on the periphery here. What can you tell us about the person of Ralph Barrick and his importance to this conversation? Ralph Barrick is probably the premier coronavirus researcher in terms of his ability to manipulate these viruses. He developed several techniques, including this reverse genetics technique, which is essentially a way of, as it were, going from a sequence that you want to a live virus. He developed the so-called noceum technique, which is named after a biting midge that you don't see, because it's so small, which is effectively a way of altering the genes of coronaviruses in such a way that you don't leave any scars, any joins. He was really the person who was doing spectacular new work on coronaviruses. He had an idea about how to develop vaccines in this area, et cetera. But he's working mainly on these obscure coronaviruses that nobody's terribly interested in, and then along comes SARS-1 in 2003, and suddenly it's a much bigger deal. And then MERS, and suddenly coronaviruses are of great interest to the world. So when the Xi Zhengli lab gets involved in coronavirus research because they basically are hunting down the origin of SARS-1, is where how they start, and then they want to get into much more molecular work, they want to learn from Ralph Barrick. But he doesn't have access to SARS-like coronaviruses because there are no horseshoe bats in North America, and all SARS-like coronaviruses live in horseshoe bats. So they come to an arrangement that Xi Zhengli will supply some of the viruses that he needs to work on, if he's going to work on SARS-like coronaviruses, in exchange for her learning some of the techniques of reverse genetics and genetic manipulation from him. So although both their names are on that paper, that Miniaturie's paper, very, very important and significant groundbreaking paper in 2015, none of that work on that paper was done in Wuhan. It was done in North Carolina. But following that paper, the Xi Zhengli lab, led by Ben Hu and Peng Zhou, is rapidly trying to catch up with Ralph Barrick by emulating his techniques. And one of the most important documents that we haven't talked about yet, which is the one that really persuaded my co-author Alina Chan and myself to come off the fence, the so-called defuse proposal, was a request to DARPA in the Pentagon for money to do work on SARS-like coronaviruses that would include inserting fewer in cleavage sites into them for the first time. And that work was to be done in North Carolina, right? But the proposal was turned down. And the partners to that request were the Wuhan Institute of Virology. Ben Hu's name is on it, but so is Xi Zhengli's. So it's pretty obvious that when that was turned down in 2018 for that experiment to be done in North Carolina, it's not pretty obvious, but it's definitely possible that the Wuhan Institute of Virology said, well, we'll go ahead and do the same experiment in our lab with all our funding from the Chinese Academy of Sciences. We don't need that grant to do that work. Indeed, they may have already started to do it because the proposal has some very specific things in it that read like the kind of thing you say when you apply for a grant for work you've already started. And so one plausible reason why Fauci, Collins at all might not want people looking too closely at this or dwelling on this is, well, let's not look too closely at the fact that our agencies were funneling money to this sort of research that maybe we did not directly fund the creation of this virus in a lab, but kind of like bootstrapping the technology and then like exporting it over to China where it's like completely unsupervised. That's kind of an overarching perception that they don't want out there. And Ralph Barrick has played a very interesting and quite county role in the debate because he did not put his name. He didn't join that conference call. He didn't put his name to the Proximal Origin paper. He didn't put his name to the letter in the launch. He was asked if he would and said, no, it's better if I don't. And he has given one or two interviews, not very many, but he gave one in 2021 that indicated that he thought it was possible that this thing might have come from a lab. So I think he's well aware that the research that he developed but that was then taken on in Wuhan could have led to the creation of this virus. And I mean, I'm sure he will deny that that's what he thinks happened, but I think he's aware that it could be what's happened. And he is really a very critical person. Now, interestingly, there's an exchange between Anthony Fauci and a congressional committee in which he says something like, I don't know if I've ever met Ralph Barrick. Well, we now know that they actually met very early in the pandemic to discuss coronavirus biology. Boy, this is starting to sound like conversations about communist infiltration in the 1950s or something. I mean, there's a lot of skull-duggery going on. Can I ask, in your opinion, is Anthony Fauci, and I don't know how to put this so felicitously, so I'll just do it kind of bluntly, is he deluded or is he corrupt?  I would say to that, never underestimate the human capacity for self-deception. Anthony Fauci is the highest paid federal employee or was until he left the job. He's been in that role for something like 30 years. That's extraordinary, isn't it? I mean- Right. It's like the Jager Hoover of infectious diseases. He's the Jager Hoover of infectious diseases. That's a very good line. And his role was immensely strengthened and made more imperial, if you like, in the wake of the anthrax events of 2001 when he was effectively made part of the, when he was made to the sort of czar of the bioterror defense research establishment. So he's nominally under Francis Collins at the National Institute of Health, but that's not the way it works. He's been an enormously powerful individual controlling an enormous amount of funding. He's very articulate. He's a fabulous scientist. He did wonderful work on HIV many years ago when I first knew of his work. But I think he has dug himself into a hole here that he's struggling to dig himself out of. And I wouldn't want to use either of the words you used because I don't know enough to back them up. Hey, thanks for watching that clip from our conversation with Matt Ridley about the origins of the COVID-19 pandemic. You can watch another clip from that conversation right here or the full conversation right here.