Now let's continue our look into deep neural networks and I want to pause a bit and discuss poor performance of a deep learning model. So if you come across this video and it's the first one you see, please go back to the beginning. That really is my suggestion, watch the whole series, one lecture just builds on the other. Now in the preceding lecture we looked at building our very first neural network. We had these two hidden layers. We wrote the code inside of our studio using Keras with the TensorFlow backend and that to me is very exciting. In the real world though no one ever ever ever writes a single neural network and just runs the data through it and everything works perfectly, it's beautiful. There are usually problems with the results. The code works well, the neural network performs well but the choice of the hyper parameters and how the network is constructed must be changed based on the results that you get. There must always be this attempt at improving the model. So in real life there's data pre-processing usually with the help of a domain expert. Now that doesn't always happen but having a domain expert present when the data pre-processing is happening really makes a big difference. A network is designed, later on we'll also see that you can just import some already existing networks. We run the model, put the data inside of the model, we get results, we have to look at those results somehow we have to interpret what they mean and how good, especially how good they are so that we can subtly change things to that model, change the hyper parameters, change the architecture of the network, do something else to improve the results. Now for that to happen we must have some way of understanding what went wrong and I don't mean what went wrong in the execution or writing of the code, why is the results not as good as we think they would be or better still how can we think about improving them. So first of all let's just go back to the training and the test sets. And there's something specific about these that we might have mentioned before but we should just spend a little bit more time because it is this pre-processing of the data that is really important before you start assessing how well your model did. I want to remind you that you have a data set and you then split it so that you have a training set that is the data that's going to be passed to the model and it learns from that, a big black box that learns from the data and then you must pass a set of data to it that it has never seen before. So the model never learned from these new cases and that's the test set that we keep totally separately. Now you don't always need to split that from an existing data set. It might well be that you have a data set and you use that data set and while the network is being developed and while all of that takes place, the data collection continues and it's this new data that is going to be the test set so it needn't just be a splitting of the original so that can also happen. One thing though is to consider just the size of the data set. We mentioned before that if the data set is very small the norm used to be this, we can see it there, the 73% split because we needed enough data in this test set to make it worthwhile to make the testing accurate but in modern days where we have perhaps millions of samples, we can really have this 5% or 1% split in making that test set. That will still contain enough samples to be representative of the whole data set in itself. Now a few problems might arise here. It might very well be that the test set and the training set are not the same, especially when they are collected, the data is collected at different times. Think for instance of cases where images form the data that we want to train on and that the training set might be very nicely selected high resolution images so that we have this fantastic results when we do the training. But then when we pass real world images they might be blurry, lower resolution, we get very poor performance. So there's this difference between the training set somehow and the test set and those differences must be minimized. In the end we want a model that will work well on real world data. That brings us to this point of a class imbalance, one of the types of distribution, where we think about distribution in our data. Think for instance of a situation where one of the elements in the target variable occur very infrequently that 95% of the target variable is just one class, one of the elements and less than 5% is the other. That just means if that really exists I might as well just guess the majority class every time I'm going to be right to 95% of the cases. Why do I need a deep, deep neural network? So if that is the truth in real life then yeah, perhaps you don't need a neural network. But if it's because there's something wrong with the data collection that there's this class imbalance, then you have to do something about that. And one way to go about it of course is this better data collection, but if that is not possible to look at something like data augmentation, which we'll discuss later. Another point to belabor is that the training set is not absolutely required and some data scientists will take the whole data set initially and just do the validation split inside of the model. And some even refer to that validation set as the test set. Another name for it also is also as a holdout set. But that holdout set, validation set, that is a development set that's also called. That can be done inside of the model and we saw that in the preceding lecture that that validation set can be just be extracted when the model is training and we can just see that as our test set. So when you see that occur don't worry too much about it. Just to be formal here, we're going to talk about a training set from which we split a small little validation set during the training and we have the separate test set. Just make sure when you see that that you're not confused about it. So really put these thoughts into the before designing, just think about the data for a minute. Think about the things that can go wrong with the data and specifically the splitting of this data. The next important thing to talk about is just the idea of the ground truth. Have you ever said, just thought about it, somehow someone or by some means every sample in the data set had their target variable denoted in a spreadsheet in a database. Doesn't matter how, but someone or something decided that that is the actual value that has to go in there. That if this is a CD scan and that is a benign nodule or malignant nodule, someone marked that as benign or malignant. And that they might be an error, that might have been wrong. And what we refer to as the ground truth, the labels that exist in the data set that we have might not be absolutely correct. So we're training on something that has an inherent mistake in it. Now there is this idea of an optimal error. That's the maximum theoretically the smallest possible error that exists in the target data set. It's also called Bayes' error. And that is what we are trying to work towards. We want our models really to achieve, or we get close to this Bayes' error or optimal error. And at times this can be different from the human error rate. So imagine we have a bunch of CD scans and it was a radiologist to just set a couple of radiologists and they just mark this, one is benign, that one is malignant. There's going to be some human error in that. So at the very least, we really want our models to exceed the capabilities of our human. So the human error must be exceeded. And we want to really approach this theoretical optimal Bayes' error.  So examples of human errors coming very close to the optimal error is if we have a group of experts looking at every sample. So you can't get much better than a group of experts, say a whole group of radiologists to then sit together and label every CT scan. That's as good as it gets. When it is a piece of apparatus that just makes a measurement, you want the best possible piece of equipment there, the best apparatus to record that target value. So think about when you see it makes a difference what the error rate is in your actual data set and what this theoretical optimal error is. It makes a difference. So how do we evaluate the result? We've data's pre-processed, we've fed the data, we tested now against the validation or the test set. How do we know how good or bad it is? And there are two things we have to discuss here and that is bias and variance. And these are easy to understand, but there's some subtlety to bias and variance. Let's just quickly start with bias that we can see here that's also called underfitting. And that is where the model does not separate two classes very well. So I want to just draw your attention to these little samples. They come from the scikit-learn website and there's some Python code, you can just write it in Python and it'll produce these images and I got them from writing that code. From their website. Now I just want you to suspend the... There's a bit of a difference here between this and what happens in machine learning. So all this is these data points and they fit this orange line and that's the actual function. And because this apparatus that measured these data points is perhaps not that absolutely accurate, there's a bit of noise in that. But what we want to do now is just to fit a line, a model to this data. And if we have a degree one polynomial, that means a straight line that goes through this, so given any X input, what does it predict the Y output going to be? There's going to be a lot of mistakes made here. So the straight line is a very poor fit. It underfits this data. Now if we just move this slightly, just use your imagination, change this to a machine learning scenario. What this line will be, will be what we call a decision boundary. And if we have lots of data points, the one side of this boundary will be predicted to be of the one class. Let's just imagine a binary target variable. And anything on the other side of this line will be predicted to be something else. And then you might have ones going on the wrong side of this line as far as the predictions concerned. So that would be a poor, that model or boundary line would be a poor model neural network. But in this instance, we were just fitting a line to data. It's also poor because it makes big errors. If I give an input value here, down here, there, the actual value is up there. There's a big difference between those two. It's a poor fit. Now we can make our machine learning model more complex. So we move away from a straight line decision boundary to something that's more curved. And in the instance that we've drawn here, there's a much better fit to the actual real world behind the scenes line, this orange one that was the true line. And this model, it's a very close fit. That was somehow the optimum. Now remember, that's what we're trying to achieve with machine learning. We never know what this orange line really is. But again, if this is a decision boundary, it's going to be, it curls around some of the data. So imagine again, suspend or use some imagination. So we see this graph in a different way that there'll be points on either side of the line. And again, on one side and on the other side, they will be predicted as different classes. And if it sort of squirms around these data points on either side, that's a better decision boundary. But look at the right-hand side now. We've upped the degree of the polynomial so much that this equation, this blue line, which is an actual equation, actually goes through almost each and every one of these points. And that is complete overfitting. So complete overfitting means that if you see this blue line as a decision boundary, it's going to curl around the training set data point so well that it completely separates the two classes. But if you give it new data, that's way too convoluted. That overfits the training data, but it's going to be very poor when it comes to real-world data. We call that overfitting, or this model will have what we call a high variance. I actually started off by wanting to discuss bias, so let's get back to that. This is a bias problem that we have here, that there's a total underfitting. It really does not separate the classes very well. If this was the decision boundary, there isn't a good separation of the two. So you're going to make a lot of error there. So see bias on the one side underfitting and variance overfitting on the other side. This is also called memorization. So if you pass data to a model and it does very well in the training data, it might very well be just that it's just memorized. It's called it's memorized the data, and it will perform very poorly on actual data. Now, how are we going to know when we deal with bias underfitting or high variance overfitting? Well, we're going to look at two things, the training set error and the validation set error. Now, if you think back to the preceding video, we had those two come out, the error, the two sets that went into the model, the whole set, but then the validation set that was split from that. So let's look at overfitting with a very low training set error. So that really indicates then there's a large difference between the error rates of the training and the validation set. So when you look at those lines that formed when we ran the model in RStudio, that the training set that error just drops and drops and drops and it becomes very small. But unlike the example, the contrived example that we had with the 50,000 data samples, we might find that the error on the validation set, the green line was much higher, much more, much different. So imagine the error rate of the former being about 1% and the error rate and the latter being about 10%, that's high variance. So it's trained, it's overfitted, it's trained to the training set too well and it doesn't work well on unseen data, the validation set. Now imagine there is a poor error between both of these. So they both have in the order the training set and the validation set are both here in the order of about 15% to 16%. Under the assumption that the error in the target variable was very low, so it was very accurate data that was fed to it. So just bear in mind that little assumption because that's going to make a difference in a short while. So the difference between the two, the validation set and the training set, their error is very close to each other and they are much higher than you would expect the error inside of the target variable itself. So this model is said to have high bias. So it's not even doing well on the training data that it's being given. And then we might get a scenario where both the variance and the bias is high that is still assuming this very low human error or optimal error inside of the target variable and then say a 15% error on the training set and a 30% error on the validation set. And that's going to give us both high variance and bias. So let's just think about this influence of the optimal error though. So if we moved, when we had 15% and 16% up here, we had both, we had the training and validation set errors being very high. But that was under the, that gives us bias. That was under the assumption that there was no error in the target you bring up the error in the target, say to 14%, that we know that there might be a misclassification in the data that we bring in and we still sit with an error of 14% to 15%. That's actually a fantastic model with a low bias and low variance, same error rate. So, so you've got to see this in context of what you think as a domain expert, the error rate is in the target variable itself. In short though, this is what we're after. Look at when you run a model what the training set error is and what the validation set error is and what the difference between them are, keeping in mind what the baseline error, the ground truth error might be. Just to mention in older reports, older research documents, you might see the straight off between bias and variance. You change your model and if you change it, you go more in one direction and change it going to the other direction. But really in a modern world where we have big data sets and where we have very sophisticated deep neural networks, that trade-off thing no longer is really the norm. You can get very low bias and very low variance in the same go.  Just a few pointers as to what to do. If you see high bias, so this model really underfits the training data. And ways that you can go about solving this problem is just the following. Just write this down somewhere and this will become part of you as you do more and more, create more and more networks. If you have this high bias, just create a bigger network. That means putting in more layers, putting in more nodes in every layer. That's just one way to go. If that doesn't work, just train for more epochs. So this might be that you haven't gone to the bottom of your gradient yet. So just train through more epochs and then lastly, you can try a whole different architecture. So when the input was for images, don't do a normal neural network. Try a convolutional neural network, for instance, and we'll get to designing and writing code for convolutional neural networks in the future. When you have high variance, large difference between the iterate of the training and validation sets, you can try the following possible solutions. Number one, capture more data. That is king. You can augment the data if you can't get your hands on more. And there is this class imbalance. You can nearly think about augmenting your data for both those problems. And then vary the interesting stuff because this we can manipulate and code. And that is implementing with in the design of your neural network, implementing regularizations, dropouts, batch normalizations, batch normalizations and other techniques. And in the very next video, we're going to look at this very exciting concept of understanding regularization. So that was a bit quick. As I said, it's easy concepts to understand, but there's a lot of subtlety to it. Don't let these confuse you. I'm trying to depict two things here. One is just this fitting of this actual data, but I want you to use your imagination to also see these blue lines as a decision boundary where it's going to be, predict a class on one or either side. Now remember in higher dimensional space, it's not just going to be a line, but some hyperplane. But you can imagine it going from just a straight thing to something that is convoluted and curled all around. That's what we call the decision boundary. And that decision boundary can just become too complex and you have this high variance on the side. It can also be totally not complex enough. And you have this high bias on this side. So you've got a sort of aim for this middle ground here. Read this document again. So there was no coding in this. So read this document. It is going to be available on our pubs. The actual file on GitHub, I'll put the links down below and I'll speak to you in the next lecture.


Hello, everybody. Today, we're going to be talking about converting data types in Python. In this video, I'm going to show you how to convert several different data types, including strings, numbers, sets, tuples, and even dictionaries. So let's start off by creating a variable. We'll say num underscore int is equal to seven. And we can check that data type by saying type and then inserting our variable number underscore int. And that will tell us that our data type for this variable is an integer. Let's go ahead and create another one. We're going to say num underscore string is equal to and for this one, we'll also do a seven, but let's check the type and we'll do an open parentheses. And we'll say the type of num string and that one is a string. Now, let's say we wanted to add those. We'll say num underscore sum. So the sum of num underscore int plus num underscore string. Now, when we're adding these two values, it is not going to work. It's going to give us an error and it's going to say unsupported operand for int and string. So it cannot add both an integer and a string. What we need to do in order to add these two numbers is to convert that string into an integer. So let's go right up here. Let's add another cell and let's say num underscore string underscore converted is equal to and we want to convert it into an integer. So all we have to do to convert it into an integer is type int and then we're going to say num underscore string. And that is as easy as it's going to get. All we have to do is say integer with our num string inside of it. And then it's going to convert it and we can even check it right after by saying type num string converted and let's run this. And now we can see that it was converted into an integer. So now let's add that num string converted right here. Let's copy and replace that string with the string converted. And let's actually print out that num underscore some and it worked properly. Now we did not specify what type of value this num some was going to be. But because it was two integers in here, it's going to automatically apply that data type of integer to that num some. Let's go right down here. And now let's look at how we can convert lists, sets and tuples. So now let's say we have a list underscore type and that's equal to one, two, three. And we can check it again by saying type and that is a list. Let's say we want to convert it to a tuple. It's fairly easy. All we're going to do is write tuple, say list underscore type. Now list underscore type is now going to be a tuple. And we can check that by saying type and wrapping it around this tuple. And it shows us that it is converting that list into a tuple. Now we can also convert a list into a set, but it may change the actual values within it. And let's check that out really quickly. So let's say we have this list and let's add a few more values to this just like that. Now let's say we want to convert it to a set. So we're going to run this and we'll say set of list underscore type. And let's try running this and see what the output is. So this is something that you really need to be aware of when you are converting data types because set does not act the same as a list. A set is basically going to take the unique values in the list and convert it to a set. And it fundamentally changes the data that was in that original list. And just to check the data type, we can say type. I'm just doing this for all of them. And as you can see, that is now a set. Now let's go down here and take a look at dictionaries. Now let's say we have a dictionary called dictionary underscore type. And we'll do a squiggly bracket and we'll say name and we'll do a colon and we'll say Alex. Then we'll do age and a colon and we'll say 28. And then we'll do here. All in and so really quickly, let's take that dictionary type and just confirm that it is a dictionary. And it is. And now what we're going to do is take a look at all of the items within that dictionary. So we're going to do dictionary type.items open parentheses. And this is going to show us all the items within it. Now we can also take this and look at something like the values. And when we run that, these are our values. So within our dictionary, we have items and that's what this is right here. This is one item. And then within that, we have our values, which are right here. So Alex, 28 and NA. And then we have something called a key. And this is the key, the name, age and hair are all keys. And we can look at that by saying dot ease. So let's say we want to take all of the keys and put that into a list. What we're going to do is we're going to take this right here, say list. We'll do an open parentheses. We'll type that in right there. So it says a list and we're converting these keys into a list and let's run that. And now this is a list. And let's just check the type as well, just to confirm. And as you can see, it was converted properly into a list. And we can do the exact same thing with values. And the values can also be converted into a list. Now, we can also convert longer strings that aren't just numbers like we did above in our very first example. So let's do long underscore string and we'll say I like to party. Now we're going to take this string and we're going to say list long string. So we're going to convert this string into a list and let's see what happens. So it took every single character in that string and put it into a list. And we could also do a set as well. That one's a lot shorter because it's only looking at unique values. So that is how you convert data types in Python. Thank you guys so much for watching. I really appreciate it. If you liked this video, be sure to like and subscribe below. And I'll see you in the next video.


So, I don't think he has goggles, I'm just gonna look from here, stop on please. I thought. Oh, he's gone bad. I'm gonna shove him. Be killed in line.


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Taliban insurgents have captured an Afghan provincial capital. They've killed the government's senior media officer in Kabul, as U.S. and other foreign troops withdraw. The funeral service for Dawah Khan Menopal, a senior spokesperson for the Afghan government who was assassinated in Kabul on Friday by Taliban insurgents, is one of the latest signs of the rapidly deteriorating situation there as U.S. and allied forces withdraw from the country. The Taliban representative says the killing was punishment. Afghan President Ashraf Ghani says the Taliban are filling coffins with young people like savages. Scores of social activists, journalists, and public officials are being killed by the group. Meanwhile, the Taliban is also continuing to advance in territory. On Friday, they took control of their first regional capital, Ziraj, according to local police, who say it was due to lack of reinforcements for government troops. And on the Afghan-Pakistan border, hundreds of people have become stranded since the Taliban took a checkpoint last month. Pakistan started enforcing visa requirements more strictly after the Taliban took control. Travelers, Reuters spoke with, say they don't have the money for a hotel and their food is running out. The Taliban say the crossing will remain closed until visa restrictions are lifted. The Russian Defense Ministry has released footage of its air force conducting drills near the Afghan border with Uzbekistan. Russia and Uzbekistan are both afraid of spillover from the conflict. Russia's U.N. ambassador says there is a real danger of Afghanistan slipping into a full-scale and protracted civil war. Hello, hope you enjoyed the news. Please do subscribe to our YouTube channel and don't forget to hit the notification button so you get notified about fresh news updates.


The International Organization for Migration, as long advocated at migration and the way it is managed, will be a decisive factor in achieving the 2030 agenda. The ZRSTG Global Festival of Action provides an important opportunity to underscore the central role of migration for sustainable development. This is even more critical in the context of the COVID-19 pandemic, a pandemic which has caused three interlocking development crises – a health crisis, a social economic crisis and a global protection crisis. The pandemic has exacerbated pre-existing social economic inequalities, including those of migrants and communities. International travel restrictions have left hundreds of thousands of migrants stranded in transit, vulnerable and without support. Ten migrants have been disproportionately exposed to excessive health risks through their living and working conditions. This pose a fundamental challenge to achieving the Sustainable Development Goals by 2030. The ZRSTG Festival provides a creative space to inspire, mobilize and connect people and organizations to take action on the Sustainable Development Goals. This year's theme of Turn It Around calls on Hazel to take action to recover better from the COVID-19 pandemic and get back on track to achieve the Sustainable Development Goals. As coordinator of the United Nations Network on Migration, IOM is committed to accelerate progress towards the Sustainable Development Goals so that truly, truly no one is left behind.


Hi everybody it's Sam at Mixed Up Craft. Thank you for watching my tutorial today. This is card number 14 and the last card of this year's creative card series. So I wasn't sure at the beginning how many I was going to make. I did kind of think I'll do seven and do that back to back for a week but then I just I don't know I kind of had a bit of a flow and I thought no I'm going to do some more. So I've done 14 tutorials but I'd say half of them there's two cards in each so yeah I've um I've done a lot of cards and you've really been enjoying them. The comments and everything has just been really really nice so thank you and I hope that you enjoy this last one that I've got to share. This doesn't mean that I'm not doing any more cards by the way this is just my creative card series for anybody that's new. It's just a real focus on card folds for two weeks so um yeah all normal tutorials will resume next week so three a week plus one on a Sunday sometimes. Anyway so today the inspiration for this one has come from a template I actually saw on Pinterest and it's called a double display card. Now the lady that made this was Susan Blue Robot and her tutorial is from 2009 but it's not a tutorial it's nothing online it was a template but I've doubled hers. So this is what I've come up with and there are similar around but this is the the style that I've gone for so I've made this envelope and I'm going to show you how to make an envelope just that little bit more bouncy so that it will fit something bulky and so you don't always have to make a box so wait till the end for that because I'll be showing you that as well but it's really cute and I'll show you all the papers. So this is how it looks when you take out the envelope now the belly band is optional but I do like it so just slide off the belly band and then you have this and it's pretty big this is a mantle piece card this will look great displayed above the fireplace now you see it's got lots of shine with that Dovecraft Silver mirrored cardstock and then I've used some really fun kind of stamps here at the I'll show you those in a minute but I'll show you those in a moment but I've got nothing says happy birthday like a piece of folded card I think that's awesome. In the middle is an old stamping up one that says just for you on your special day and then here it says are you celebrating 29 again and I just think it looks brilliant I love the way it all closes up but then on the back you have room to write your message and of course you can decorate this even more you could add photos on this there is so much scope to you know really personalize this card and then it stands up like this so you can have it quite spread out once you obviously play around with it there we go or you can have it kind of like that it's entirely up to you I just adore it so yeah it was I've adapted a few bits and pieces and I've changed some score lines but the the main idea yeah so this is known as a double display card so let me show you how to make it okay so the papers I'm using are these here it's from the making memories 12 by 12 paper pack the beautiful collection of papers absolutely love that one again everything will be linked in my blog and then I've got everything here so I am not going to decorate this one I'm going to do all the mats and layers but in terms of like the stamping and stuff I'm not going to do that on this one because I want to leave it blank until I know who I'm going to give it to or it might be that someone requests me to customize something a bit further and I could probably hopefully do that with this so yes I'm going to show you everything you need but the rest like decoration will be down to you so these are the some of the stamps so the happy birthday on the bellyband which is this gorgeous one here is an old dovecraft but it's still floating around so I should be able to find it um sorry that's that one there birthday girl yeah I didn't end up using that one in the end I think I was going to that was it so yeah I'll just use the birthday girl there which is really nice these are the ones here for the inside so you use the r you celebrate in 29 again and nothing says happy birthday like a piece of folded card woodware clear magic it's the little things again I will link that I've also made a template so just think it's easy for you to see so again I will link that other template for the susan blue robot one just so you can see if you did want to make it smaller but this is for the double even though it is called a double this is like a double double and then this is what you need for an envelope so this is a piece of 11 and a half by 11 and a half okay so I'll keep that to one side we'll go to that later so to make the actual card base you want two pieces that are six by 12 okay and we're going to make this so this is one and then I've made another one which is going to come off this side and that's how you get that card fold and then you also want so two pieces of that size and then you want two pieces that are four by six and then you want something for your belly band so I've just got a bit of scrap left over from when I cut these and this is 12 by one and a half and then I've got this oval here which I've already prepared I'll tell you the measurements of that a bit more and you can kind of you know see what you've got when we get to it so first of all some simple scoring um so along the 12 inch side you just want to score at two inches four inches eight inches and ten inches and you want to do that on both pieces and then just flip it over and do that again all right it's just a bit easier this way if you just do all of them and what I might do actually just use my actual stylus just so I can really get in there with those score lines just break those fibers up a little bit because you're going to be doing like mountain and valleys or you know it's kind of like a bit of a concertina but there we go this is very thick this is the little 270 gsm cardstock so it's a really nice weight um and that's it so that's the scoring for a minute we will do a couple of tiny score lines when we get to that okay so you'll have two of these like I said I've already done this one here and here is the template okay so you can kind of see what I'm doing there this is slightly shorter because I've done this on a piece of scrap a4 not the exact 12 it's just slightly shy but it gives you an idea anyway so here's your two four eight and ten score line you can see them here two four eight and ten so this side you're not going to do nothing and you're going to do this on exactly the same on both pieces okay we're just going to flip one of them at the end but you don't need to worry about that yet so you just ignore these two score lines everything you're going to be working on is on these two here on the left hand side what you want to do is from this two inch score lines you want to come down one inch okay so we'll do that first of all so I'm going to bring in my t-square ruler because this is just handy for me to keep a nice straight line because I can hit it against the top there so I'm going to follow down on that score line here it's that two inch score line and with a pencil I'm just going to put a little dot at one because we can rub all this out at one inch okay then you want to do the same coming up from the bottom okay so again put a little pencil mark there at one okay so again do that on the other piece so everything I'm showing you you want to do twice then we want to just do a little pencil mark within this section here so between the four and the eight and we want to mark at six so you see I've got this black line here this will eventually become a score line that we do but this is at six inches so in the middle of this piece here this ruler is back to front when you use it this way but I'm just going to mark the halfway point so you're just going to mark six inches if I bring in this ruler here just so it looks easier for you guys six inches here on my ruler put a pencil mark and again at the bottom now what you want to do is draw a pencil mark down to this mark here so I'm going to turn this around pop my ruler at the top here and I'm just going to from that mark there just draw a pencil down to that one we don't need to do a pencil mark there we're going to score there but you just want to bring your pencil mark down to there and then again I'm going to come along here keep my ruler nice and straight if you don't have a t-squared ruler what I would recommend you do is use your grid underneath so for example here's my grid here I would line my cardstock up into the corner of any squares it doesn't matter and then with my ruler I would keep my ruler in line with one of these here and that way you know it's nice and straight all the way down here okay so now that's what you should have so I've got this pencil mark one inch down from this two inch score line it goes across the four inch score line to here which is the center which is six inches of the whole piece of cardstock so what we've just the two pencil marks we've done are these two red lines here which are now going to be cut lines you want to do that on both and now we're going to cut them so I'm just going to bring in my cutting knife again you can do this on your trimmer if you put it into your trimmer in fact I do have one but my blades are not very good if you have a trimmer all you want to do is pop it in to the one inch here if you're using this fiskars for example pop it in at one inch drop this down and line it up at two along here and cut down to six and then flip this over pop it in at one and again drop it down and score and cut from two to six okay so that's the easy way to do it if you've got your trimmer so I do have them I just haven't got round to replacing the blades because to be honest unless I'm doing cards like this I just always use my guillotine so but I do love my cutting knife and the one thing I would say that I prefer using the cutter knife to the trimmer is I can really see what I'm doing so now I'm just going to line my ruler up along that pencil line and from that school line all the way down to that pencil mark there so now I've just cut that section so there's a four inch cut line that you're doing I'm just going to turn this this way again just line that up that one looks a bit crooked so I'm just going to check it on my grid here so now I'll get rid of that rub out any pencil marks on both of your pieces even that one at six inches you don't need that now because next so with both of these pieces that you've done bring in your scoreboard and you're going to score so you should have again your two inch score line here your four inch score line you've got your cut line cut line at six inches just score down to the end of that cut line it should line up perfectly which mine does and then here I've got on my grid so six inches like so you can see now where I've just scored just down to there there we go you can see them all okay so we just got that score line at six inches down to meet that cut line that's all you need to do you need to do that on both pieces okay then we just need to do some folding so the two inch score line you want to fold flip it over and you're going to fold that down okay and then you want to bring this out and bring it towards you pushing that one away from you okay and then bring it right over and then go and burnish all of those so we've got that okay and then this next score line here you're going to fold down okay to do it slow so you should have this is a mountain these are mountains and this is a mountain you've only got one valley which is that one there and then this last one will then become your second valley so you should have two valleys this one and this one and three mountains this one this one and this one and do that twice so you will now have these two pieces and then all we're simply going to do is just turn that one around and you're going to sit them together like this and then those two pieces of cardstock that I told you about earlier will sit perfectly joining the whole thing up so it looks like one big piece of cardstock now it's up to you in terms of decoration whether you want to decorate them separately I prefer sticking it all together as I am about to now and then you can really kind of see it how it's all going to look together so all you want to do is grab some glue I'm going to use my callow and just cover one of these first I'm going to sit one over the top focus on the bottom get the bottom lined up so then least then the card will stand and not wobble and if you're slightly out on the top you can trim that so I'm just going to stick one half and then pop this down on the other and you just want to go up to the score line when it's in its folded form because that way you know it's going to close down so don't have this really flat and stick it down and go over that score line because it's going to buckle and it won't allow you to fold so just make sure that you keep it up in that kind of that position like that and then stick everything down you just get a much nicer finish overall okay and then flip it over because you'll have this join and then just cover it with the other piece and you don't have to have them the same colors me I did want it to look like it was one big piece so but you could have you know white and anything but my mats that I'm going to be going through with you next and layers my mats are white so and then just stick that one over the top okay so now that will fold down like so and then these fold in again you might need to just burnish them and then that one so they're like the little doors that you then open up to reveal your card so yeah there you have it so I mean if you sometimes just like to like make lots of blanks then there you are you're ready to go now we want to add lots of mats and layers so if anything that's the time consuming bit actually doing the that bit it's really quick so here are all my mats now for the one that I showed you this one here my mats for this one were in silver you can see just how much they catch the light it looks wicked but for this one I'm going to do white ones so again it's entirely up to you but what I'm going to do is grab my smaller scoreboard to go through the measurements so I'm going to go through the measurements for the mats and stick them all down and then I'll do the measurements for the layers because I think otherwise it might get a bit confusing so you want two pieces of three and three quarters by five and three quarters and these are going to go here and also one on the back for you to write your message now if you want to have all the back done then you'll need to cut more I'm only giving you the quantities for the way that I've done it you'll just have to add more if you want to then you want two pieces that are three and three quarters squared and these are going to go in here but you may want to have a long piece here and a short piece here like this short one you don't have to have it as a square like that so you can change the way it looks as well two pieces of that then you want six pieces that are one and three quarters by five and three quarters and they are going to go here and here these two here and these two in here okay then you want two pieces but you may want four which are one and three quarters by three and three quarters and these are going on the side of these ones but like I said you may want to have them like that and then another long one there rather than the square that I've done so once you start to do this part and decide how you want it because I wanted two nice big square areas to have those sentiments but you may be decorating yours very differently and then you need all these little pieces here which are going to be to mat this one this one and this one so three there three there three there and three there so you need 12 in total and these measure three quarters of an inch by one and three quarters so like I said I'll go through the layers after but now I'm going to pop it on high speed and I'm going to get all of these stuck down okay so there's all my mats laid down I think it's once you start laying them down you really get to appreciate all the different kind of sections and folds on the card one thing I realized is that I didn't cut any for this piece here so this size of these ones you'd need four oh get my fingers right yeah of that size because that will go on there and I'll add that in later on but now how cool does that look so next you want to add all of your layers down so I've already gone ahead and prepared them all now it's basically I've just dropped down by a quarter inch increment on all the sizes that I gave you there so let me just grab my scoreboard again to give you the measurements so for these big squares here you want two pieces that are three and a half by three and a half and they're going to go in there then I've got four in this pattern but six all together because I've got two in that pattern there and these are to match on all of these panels here so again total you need six that are one and a half by five and a half so you've got one there there there there and then for the reverse of these here because this is the front then I've got this piece to go right in the middle there and this is three and a half by five and a half again if you want to do more on the back you can and then I've got these which are going to go in there but you'll also need them for the fronts you need four pieces and they're one and a half by three and a half okay and then again you want 12 pieces of these tiny ones which are half an inch by one and a half and they are going to sit over the top of all of these little pieces here so now I'm going to go and get them all stuck down okay so now there's the front and then all of the inside doesn't that look fantastic this is while it is a wow card but how great would that look with a you know big number 60 50 21 whatever it would look great even a really cool wedding card as well there's just so many great ideas for this so that's the card done so now you can obviously stamp and decorate even more and then I'm going to show you the belly band and the envelope so for the belly band this was 12 inch piece of scrap so I'm just going to keep it nice and straight with my grid pop this down just so you've got roughly the same amount overhanging and then you just want to lightly wrap it okay this is a thicker card so it's probably yeah not the best it shouldn't crack it's still okay because it's quite it's actually very good quality so now you can see it just comes to here so whatever you have you want it to be able to join so this oval meets this either side so it will be able to form a band so it will all join together so all I'm going to do is pop a very thin little strip actually now I know take that away I'm not going to really burn a shit at this point because you what I would suggest is that you just pull it back from itself a little bit you just want to make sure you have got room to pull it on and off so I'm actually just pushing it back a little bit so it's not you know so it's just that little bit bigger because I've got to still add decoration to mine so I don't want to get to that point and find my belly band doesn't work so I'm just going to pop a thin strip of glue on each right on the very ends there and then just stick my oval down on the top like so and make sure none of the glues spread out underneath no it's okay put that down for a second okay so while that's just drying you can see now how that's going to look so yeah happy with that next I'll show you quickly the envelope so I've got a piece of the card from the paper pack I mean ideally you would want something a bit lighter but it does work with this card stock now I'm making the envelope the biggest it can be which is six by eight and a half so it's the 11 and a half by 11 and a half paper size that you need which I'd already gone and cut and it's telling me that the first score line is four and seven eighths of an inch I will link the punch board if none of you have seen this before don't have one because they are very handy to have so I'm just lining it up here with four and seven eighths I'm just going to punch and score but don't worry that it doesn't score all the way down then I like to rotate mine all the way around so now what I've just punched is at the bottom and line it back up again with four and seven eighths I just find I get a much nicer finish when I do it this way and again score now all you want to do is rotate it onto the sides that you haven't worked on yet and pull it in until this piece here sits perfectly along this score line you see now it runs nicely so I can just score and punch okay and then again now I'm going to rotate it all the way around to this side because I haven't done anything on it yet and just slide it along until this meets that score line like so and punch that way it doesn't matter if you can't score right the way off so now I've done all of that get rid of the excess and then you just want to carefully fold and burnish all of those score lines okay then I'm going to bring over my card that should have dried nicely now so I'm going to pop this once it's been in the belly band it will start to kind of settle so just pop that in there it won't be so springy like so okay of course that look now put it in the envelope and grab some tape so I'm going to use some double sided tape and you want to run your tape along the bottom of these two here you don't have to have the card in actually at this point you just want to run the glue the tape sorry along the bottom okay take the backing off make sure again they're on the bottom pop your card in you've got nice amount of space in this so if it does get bulkier if you've got any decoration you want to add on here you have got a bit of room to the left and the right it's pretty much there with regards to the height bring in the sides and then stick the base down because it will now just stick around the bulk of the envelope of the card that's in there like so so now when I remove that you can see it's quite springy it's already now the size that you need it to be for that if you were to just stick it down without the card inside you probably wouldn't be able to get that in and now you can just bring over the top again it will stick you run your tape all along these two sides and then that will stick right down but that way you get a much nicer finish that is a bit bulky we're probably in the UK that would be a large letter so it just cost you a little bit more in postage and then on the front I just decorated my envelope with a white piece that I die cut with one of my decorative rectangles and then this I fussy cut from the paper pack from me to you which I thought was really cute and again you can see it's it's already got that kind of space in there to hold that card so there you go that is my double display card and I absolutely love this I love the mirrored cardstock but I wanted to show you how it just does nice it looks without that you don't need to have all that shine and not everybody likes that so that's why I thought I'd make the two but again if you want to just get ideas for decoration it's pretty simple to be honest I've only added this this and this but there's obviously lots more you can do with it and I do have some pieces that I fussy cut from the paper pad that I made well add to this in due course but for the minute it will sit with my others until the day comes that uh yeah somebody needs this card because I can still personalize this and this belly band I made just that a little bit tight which I probably will I think the more I put it on it'd be fine but yeah how lovely do they look there you go guys that is project number 14 of this year's creative card series 2019 I've absolutely loved it thank you for all the comments all the likes all the shares it's all appreciated and yeah I'm gonna slow down now on the cards I do I will still be posting cards don't worry but um it'll be back to normal tutorials next week and probably a little bit calmer as well just because I've got other things going on as well so yeah I hope you've enjoyed it please leave comments below if you've liked this one please give me a thumbs up and subscribe to the channel so you can watch all of this year's creative card series and see next year's and all my other projects that I've got to come so thanks for watching guys and I'll see you all again soon bye


You are more than what the narcissist did to you don't define yourself as a victim Because when you see it as though you were wronged You complain You become very angry or worried You want people to feel bad for you Because you feel bad for yourself and People can sense it people know when you have a victim mentality They know when you feel like the world is against you they can see that you're tired They can see that you have a lot to deal with But this mentality is not serving you It just makes you look weak and helpless It doesn't help you to advance It doesn't change anything, but there is a way to get what you want and That is by moving away from what you don't want by becoming who you want to become And it all starts by realizing that life is not against you because it is your responsibility To take the next action and decision in this situation And until you do that you will never be happy. You will never feel passion for anything Which is why you need to talk to yourself You need to realize that you don't want to live like that anymore You don't want to be a victim You don't want to keep complaining because you want something more You have goals and dreams You want something greater and You will make a decision to get what you want Because you realize that you were the leading role in your life And you get to determine how you interact with your supporting cast of the other characters Because up until this time You may have allowed the events in your life to affect and control you Rather than taking deliberate action to write your own story Because it's not easy and it takes time But there is always a way for you to move forward Some people choose to accept their current conditions They will complain about it, but they won't do anything to change it While other people will see the potential in that situation They will see the capacity to develop it into something in the future And when you do that You will be amazed that up until that point You were living your life like a hamster on a wheel You were always busy But you were never really achieving anything or reaching the end of a task It was a continuous and repetitive cycle a way of life in which you were trapped When you are surrounded by people who didn't give you vitality or enthusiasm People who you didn't want to be around You did things you weren't passionate about Things that didn't make you feel alive Which is crazy Because you were doing the same thing again and again and expected a different result When if you don't like something You should do something to change it instead of complaining Instead of just staying where you want and accepting it You need to develop this mentality of figuring things out Even when things get difficult or challenging Which is what I have done in my own life And it has inspired and motivated me To see people achieving success and financial freedom To see people getting what they want And the difference between those people and everyone else Is that they know they deserve it It's not because they're stronger or more intelligent It's not because they have exceptional talent or natural ability They just moved towards what they wanted They didn't see themselves as victims They didn't cry or complain Because they were more focused on the opportunity They were more focused on what they want Thank you for watching I now have a business opportunity that is available to you It involves editing and posting Narc Survivor content Where you can make thousands of dollars every month from the cover of your own home While helping millions of survivors of narcissistic abuse around the world You can sign up now by sending me an email It's coaching at NarcSurvivor.co.uk Thank you for watching I look forward to working with you


What's the word y'all? All right, for the first time in the 2022 NBA playoffs, I am bringing out the Kenny for Real Panic Meter. And I'm trying to figure out where we should be landing on the Phoenix Suns. Are they on the one? Should we not be panicking at all? Or is it at a five? Cause we only go up to five. That's my panic meter, but they are decimals. So it could be like a 1.6, it could be a 4.8. Either way, where do we sit with the Phoenix Suns because the number one team, the team that dominated the regular season, and for me was the favorite to win this championship or in a 2-2 series to the team that was the 9C, but 1A2 playing games and look at them right now. They are tied with the number one team in the entire NBA. Now I'm bearing the lead a little bit. Of course, you know, Devon Booker has not played in the last couple of games, but still Devon Booker would not be back. So they got to figure this out. So I'm trying to figure out where we are sitting on this panic meter. You know what? I've watched a ton of Phoenix Suns basketball over the last two seasons. If you did not know, Chris Paul is my favorite point guard of all time. So wherever Chris Paul goes, I'm watching that team very attentively because I enjoy the way Chris Paul plays basketball, right? And today's game felt very different than any loss I saw in the regular season for them this season. These guys were flustered and they looked like they didn't deserve to be there. That is wild to say about the number one team in the league, even with Devon Booker being out this injury. This is the first time where I felt like these boys was not prepared for a game. They lost the mental game in this one. Listen, I'm not normally a dude that would go like, oh, they didn't feel mentally tough enough because I think a lot of that's like cliche BS, but today it felt like they lost the mental battle in this one 100%. And now it is a 2-2 series and a 2-2 series of course is now the best of three and with Devon Booker not coming back on the horizon any time soon, they have to figure out how the hell do we say face to get to the point with Devon Booker's back potentially? We don't even know if Devon Booker's completely gonna be back next series or what version of Devon Booker will get. What percentage of Devon Booker are we gonna get? So that's the more I talk, the more I'm eased in my way up that panic meter because this is a team that was built to win a championship. And anything less than that, I would say would be a disappointment. And some of that is not by our own doing. Your best player, your all NBA first team player if you ask me is down with a injury.  I love Chris Paul again. That's my favorite of all time. There has never been a question for me this season who the best player on the Phoenix Suns was. That's why on my all NBA list, Devon Booker was on the first team and Chris Paul was on the third team. Like there's that much of a gap. Devon Booker has been the most impactful slash best player for the Phoenix Suns and you saw that today. If this team wants to win this series, you cannot get a performance like this from Chris Paul, bro. We just witnessed one of the bottom three. Chris Paul playoff individual performances of all time. Now I understand Chris Paul got a lot of critics, a lot of people that don't like him. And I'm not here trying to convince you to become a Chris Paul fan. But Chris Paul doesn't have these, this much of stinkers. Of course he has, he's been on teams that've blown three, one leads or he've had bad games in there. But a game like this two for eight from the field clamped up by two rookies. And you know what? They did an amazing job. We're gonna talk about the pelicans for sure because this is not all about whether or not we should be aware we should be on the panic meter but we also got to start love to the pelicans. They still gotta win these games, right? But a lot of love to Herb Jones and Jose Alvarado. They did an amazing job on them. But Chris Paul had plenty of opportunities in this game to take open looks, but he didn't do it. I don't know why the hell Chris Paul just figures out like, hey, I just do it in the fourth quarter every time. And if he can't turn it on the fourth quarter, then he's got three and a half quarters if you like just being passive and playing lob guy. For them to win this series, Chris Paul has to do more than take over a fourth quarter every second game. He needs to go out there and play the ball that we know he can still play at the age of 66.  He put up a stinker.  Actually in game number three, they, man, they were so lucky that Chris Paul took over the game. They were so lucky that DeAndre Aiden was dominant because everybody else on that roster was putting up stinkers. Hold on, I know I had to stat. Hold on, I read down the stat in my docs because when I do watch these games, I try my best to have these documents with my notes. And sometimes it's as simple as just going to Reddit and just seeing what other people have said and be like, oh, okay, I found it. This is from Destructive Optimism on Reddit. McKell Bridges, J-Crow, The Camera Pain, and Landry Shaman are combined four for 48, 10% from three this series. 10% from three this series. So it is more than Chris Paul having a stinker. It's the other people not hitting their shots as well. And if I had to guess out of the 48 three pointers, I would guess at least 42 of them are wide open, non-contested shots. And the backup point guard, the guy that you expect to play a little bit more minutes because in the regular season, they had this tandem where Devon Booker was off the court, Cameron Payne and Chris Paul playing together.  Today he was three for 10 with eight total points and game three, he had three points and game two, he had six points and in game one he had two points and he's shooting like 30% from the field in the entire series. And I got a lot of love for Cameron Payne because I know what he has gone through in his NBA player. He went from Russell Westberg, Hype Man, dancing with Russell to being traded to the Bulls in his first day of practice. They say this guy's not an NBA player and he used that as fuel to become an NBA player and was one of the better backup point guards for the last two seasons. Right now he does not look like that. They're about six or seven backup point guards in the playoffs right now that are destroying the production that Cameron Payne has given them. And on the other side, when you talk about the Pelicans, everything was clicking for them today. You know, you had the two rookies and Herb Jones and Jose Alvarado who played amazing defense on anybody that they were assigned to.  Majority of the things that you needed to click to win this game did click. Before this game, Jonas Valentino's average is just 11 points on the series. He was averaging 11 points on 30% shooting for your starting center. And in this game, well, he got back to the normal version of himself putting up about 26 points. He hit a big, big three. A big, big three down the stretch and 15 rebounds. And this was a battle of the bigs, man. In the last couple games, Deondre Aydin were going at him and dominating him and dominating him so much so that they had to go super ultra small ball where Leary Nance was on the court and then Leary Nance is gonna dominate it as well. But it was better for the offense for Leary Nance. Leary Nance is about there. But now, yeah, Deondre Aydin gave him some buckets but he was giving it right back to him and ended up winning that matchup. That was a plus. Brandon Negrum has put up 30 plus points. And I think in every single one of these playoff games so far, he's been amazing being able to take over the game. He is so poised. I love when we see these younger players that have zero playoff experience come in and be like, oh, you didn't know I can hoop national or everybody else in the media, everybody else that's an NBA fan. You didn't know I can hoop. Fuck, I'm Brandon Negrum. I was just, oh, start two years ago. But to see them do it in the stage like this is great because there's one thing to be a really good regular season player and there's another thing to do it when you only have a couple games to prove yourself. And Brandon Negrum has proved that he is still really that nice. Because I don't even think Brandon Negrum got that much playoff buzz this season, even though he had pretty much identical stats across the boards for the last three seasons. He didn't get much playoff all-star buzz. I mean, but he was amazing in this one. They didn't even get a crazy CJ game. CJ had been killing the entire series. That was like the one consistent thing. He didn't have a crazy game, but it was a lot of grit. There was a lot of heart and there was a lot of great defense, man. There was a lot of great defense. And you can tell that they wanted this game more than ever. The fans were packed out and it was just a good game. It was an overall great game. Also a thing that I like and again, people gonna take this the wrong way, but so be it. I like when younger players come into the league. And of course you want people to respect the elders, even maybe that's even an old thing that nobody really cares about. But when you're on the court, you're just another dude to me. You're not Chris Paul, the legendary point guard. You know what I'm saying? You're just my opponent right now. So I might have so much respect for you, but when we between these lines of these 48 minutes, we can't be homies. We can't dab up until after the game. And I like that these two teams do not like each other right now. Of course I can do without some of the extracurricular activities, whether it be Jackson Hayes pushing or Chris Paul going up for the block. I could do without that because that could just lead to some things down the line that we don't want to deal with. We don't want to deal with more injuries than we already have. The Pelicans are missing their best player. If people didn't don't remember, the Pelicans don't have Zion Williamson. They have not had Zion Williamson. And then the Suns are also missing their best player. You know what I'm saying? We can't add more to that fire by having more people set out games. But I do like that these boys are in each other's face and they understand what is at stake because you cannot convince me that the Pelicans are scared or don't believe that they can win this series. And that's what we want. So to get back to it, where would I be on my panic meter for the Phoenix Suns? I think I would go at a 2.8. I still do believe that the Phoenix Suns will pull out this series. Like I said, the shooting forward, the others have been God awful. And I don't expect that to happen for these last three games. No, I don't expect J. Crowder to turn into Steph Curry. But I also don't expect them to be this bad. You saw her that percentage. They have been God awful from three. And I don't expect that to last forever because a lot of those shots are very open. I don't expect Chris Paul to put up another four point game. You know what I'm saying? There are like a lot of things that I don't think is going to last for the next three. But hey, I said the same thing about Kevin Arant after game two that he won't have another sneaker and then he did. So I don't know. You can't really make that prediction. But I still think the Suns can pull out this series. Either way, whether the Suns win or the Pelicans win, bro. It's been amazing so far. But it is cool to see, it is very, very cool to see a lot of people hopping on a Herb Jones bandwagon.  A lot of people recognizing the greatness that is Herb Jones. Before you even move on to the next game, there's an article that was put together by on ESPN Plus. So maybe I can't read you the entire article. But the name of the series, the Phoenix Suns are the best team in the league right now. And this was created like two days before Devin Booker's injury. And I'm gonna read you these 10 things and you tell me how many of these things have stayed true to this day, okay? Number one, the never ending brilliance of Chris Paul. I can't say it's never ending because today was a terrible game. But it's still brilliance for sure. For the most part of the series, he has been brilliant. But today I can't say it's never ending. The scoring of Devin Booker, that's out of the way. There's no more scoring of Devin Booker in this series. The crunch time greatness. Now I think crunch time is classified as five point game within the last X amount of minutes. So I don't even think this game had a crunch time to even talk about the statistics revolving around crunch time. But in a lot of the games, at least in game three, when it was down to the crunch time, they dominated and that was the Chris Paul. So maybe the Suns should just keep it close and then boom, they win the series. Number four says office of efficiency and we just talked about them not being efficient for three. So overall the office of efficiency has not been there. Defense of evolution. I'm still trying to figure out are the Suns defending well or not? I still don't know, I still don't know. It's higher than my expertise, if you want to call it that. One of the deepest rosters in the league, well we just talked about how a lot of their backups have not been producing. So maybe that is scratch right now as well. The rest of the West is questionable, sure. Mighty Wimps is on the sidelines. I don't think Mighty Williams is coats the bad game or bad series. Deondra Aiden in the paint still stands true. He's been great. And the last one says they're defending Western Conference champions. I think Bro only had nine things and he needed the 10 things. So he's like, they were there last year. So plus one, let me know. If you were, where's your panic meter for the Phoenix Suns after watching game four? I think I said 2.8, I'm gonna stick at 2.8. I was good to the other close game, which is the Denver Nuggets, preventing themselves from being swept. Yo, this is the only thing people want to talk about about this entire game was Yokech, preventing himself from being the first MVP to be swept in the first round. Or something crazy like that. He wouldn't be the first one to lose in the first round for show, but he'd be the first one to be swept, which means that everybody's already given Yokech the MVP because I think a lot of people realize that the media has voted Yokech as the guy. And they won this game. And even though it was a close one and a good one, I don't really have that many takeaways. I just think the Nuggets played a better game. It was cool to see Yokech actually do stuff down the stretch because in the last game that they lost, Yokech didn't even attempt a shot within the last two minutes. And then he was getting hunted by Steph Curry. And even in this game, he got hunted by Steph Curry down late, but he got a couple stops. I can't even say he got a couple stops. They got a couple stops and that was what they really needed. Hold on, here are my notes. I'm gonna read you my notes and we can move on to the next one. Close the game. Oh, because that had been a thing. They had been struggling down the stretch and that has to do with Yokech not taking over in the last two minutes. Boxing one, the Warriors continue to run as Boxing one against Yokech. And nobody else in this series has stepped up for them. But today, they actually got their production. Aaron Gordon had a second really solid game of the series. He ended up with 21 points. Monte Morris with 24 points. Bones high enough to bench, hit like three 30 foot bombs. And then you also got Boogie giving them quality minutes. So the Boxing one didn't really work because finally he had some people to kick it out to and shout out to Will Bard. He didn't have an amazing game. We hit the biggest shot of the game and that was generated by Yokech. Next one finally has some help. Oh, too much fouling for the Warriors. There you go. That's why you lost this game, Warriors Nation. Too much fouling. Can we move on to the next one? Okay, cool. And the next one won't be any more in depth either because the Atlanta Hawks got absolutely decimated by the Miami Heat. This was the first game that I could say I walked away from. Yep, it was Sunday and I had just watched the other two and I'm like, you know what? I can go without watching this one. And yep, I walked away. Here's my notes. These are verbatim what I wrote in my notes.  So there's that. And I think that was the first half. I think that's like towards the end of the first half.  Similar to what we talked about with Yokech in the Boxer when the Miami Heat are doing the exact same thing.  This is what my time like is set up today. Trey Young is not built for the playoffs because he's struggling against the Miami Heat. One, Cavadal Rant can't be a leader of an organization because he's struggling against the Boston Celtics. Two, Chris Paul is wise and he not blank all time because he struggled in this game. Three, the Bulls suck. I'll give you that. I'll give you, hey, you can have that. You can have that. The other ones I will not tolerate. I think we've just gone too much in the reactionary. It wasn't even a full year ago where Trey Young was in the conference finals. Yeah, he put up a stinker and the Miami Heat has clamped this boy, I think Kevin Knox has outscored Trey Young two out of the four games, which is disgusting. It's facts, it's disgusting. But he has showed that he could produce in the playoffs.  Listen, the New York Knicks team that he beat last season was one of the best defensive teams in the league last year. I don't know if you forgot or not, but what happened?  Oh, we can't even double off this play. Oh, Clint Capella is killing on the line. None of that has happened in this season. None of that has happened in this season. This is what I saw in this game. Kevin Knox had 12 points in four minutes, broke it to you to come in and he shoots the hell out of the ball. That is more points than a yacca congle than Galanari, than DeLon Wright, Bogdanovich, Trey Young, Kevin Herter, Clint Capella.  I ain't upgraded my phone just yet, but I swear one day I will. That's about 167 minutes worth of basketball and in Kevin Knox's four minutes, he outscored all of those people. 160 something minutes played. Kevin Knox came in for four minutes in four threes and became more productive than everybody else I just named, Insanity. The Miami, he can afford to run a boxing one and when a screen comes, we double the screens, blitz in the screen because we don't trust that Bogdanovich is gonna have another hot game like he had in game two, I think it was. Oh, we don't trust DeLon Wright to do anything to play solid defense for them, but we don't even trust Galinari to hit his three porters anymore. So yeah, Trey Young put up some stinkers, I mean some really bad stinkers for a guy that you wanna build your franchise around or you haven't been in your franchise around, but you haven't done a great job building your franchise around him, it's all I'm saying. Even Trey Young admitted that the last playoff run was like lightning in the bottom. Everything perfectly happened for them to get to the conference finals and I think at the end, whenever teams get eliminated from the playoffs, I'm gonna do like a retrospective and then what's next for them. So I can't wait to talk about the Atlanta Hawks because I'm still trying to figure out what the hell they do once they lose this next game or the game after that or the game after that, I don't know. They not winning the series. Then lastly, the Bulls. And at the end of yesterday's video, I was talking about how my pops was coming over to watch game four with me. Thank God we rescheduled you to game five and I don't think game five is gonna be any better honestly, but at least it wasn't this one. At least it wasn't this one. I don't have, I legit don't have anything to say. The Bulls just can't score the ball. They can't get to the paint. The paint is on absolute lock. Like I think we shot our first free throw on the second half and that was the second game in a row, something like that happened. Nobody can dribble, penetrate to get to the basket. Demonda Rose and can't really get mismatches cause drew holidays fighting over every single screen. Nobody else is really stepping up. There's been no bench production. It's just like the better team is winning the series. I don't know a single sane human being that picked the Chicago Bulls to win this series at all. The better team is winning, but I will say I'm happy to win the playoffs but they're happy to be here as shit is done after this year. You know what I'm saying? The Bulls are just the playoff team next year. That's disappointing to me. It's steps to this, right? It's missing the playoffs, which was last year. It's making the playoffs. Oh, we might be a first round exit and next year it's like, let's make some noise. Is it the second round? Is it the finals finals? Is it the finals of the goddamn championship? I don't know, but it's gonna be more than I'm happy to be here. Right now, listen, the Bulls game is on and we lose about 30. I hate it for show, but it's not rowling me up next year if this same circumstance or the same outcome was happening maybe it'll be a little bit different. All right, well that's today's slated games. Tomorrow, the Brooklyn that's having opportunity to not be the only team in the playoffs to be swept in the first round and that's a lot of pressure. And Ben Simmons said, I'm good, bro. My back hurts. I'm actually not gonna play tomorrow. So that rubs some people the wrong way and I don't really have an opinion one way or another. Like I said in my video yesterday, I didn't think that him coming was gonna really improve anything like that anyway. So it don't even matter to me. Eventually he will who? But we gonna have to wait another, what month are we in? April, May, June, July. Oh, we gonna wait another three to four months before we see Ben Simmons. Maybe, maybe we don't even really know.