All right, so today we're going to walk through the process or introduce the process of creating a contour map and a contour map is Basically helps show you information by using a set of things called iso lines where iso Basically means the same what we're going to do is we're going to connect points That represent things that have the same value in space For example, if I have a point here that has a value of five units I will connect it to other points that have similar values of five units creating a line that represents a Position in space where everything has the same sort of value This can be useful When you have what we are going to call sparse spatial data In other words, you have information that's associated with some location in space Okay, in this case the location might be on a map. It might be in two-dimensional space It might be in three-dimensional space, but in the case of contour plots, we're going to be working in two-dimensional space and With only a few of the locations that we may be interested in for example that we're able to sample the data from some places in space But we may be interested in having values for more locations than we've actually sampled here's an example Here I have a map and this map is representing a number of Watersheds where water might have might be falling and flowing and We have located somewhere within this map a number of locations where we have sampled the rainfall in the area So these numbers these values the 6.24 the 4.55 Etc. Are all measurements of amounts of rainfall usually depths of rainfall is unclear what units are being used here But there are different depths and notice we might be curious to figure out what depth of rainfall to associate with For example an entire watershed here in watershed D For example, we might go ahead and assume that all the rainfall there was 4.67 units However, if we're looking at something like rain Like watershed C Over here, there is a value measured inside the watershed of 4.39 units But on the other end of the watershed, there's a value here of 5.43 and it calls into question whether or not using this value measured inside is the only value that should be considered When thinking about how much rainfall is actually being measured inside watershed C Similarly this value of 6.01 may not be the only one influencing Values that we might consider when thinking about the rainfall would side of watershed B So if we're interested in finding rainfall values elsewhere in places that we have not measured It will be useful for us to interpolate Where poll the fancy word for the points of our data and enter meaning in between We're going to find out or try to determine values for information. That's between Our poles or our different points Now I've simplified this a little bit. I'm going to go ahead and use I've gone ahead and copied all the values here of my Of my watershed map I'm going to go ahead and create all the locations here So it might be a little bit easier to see what I'm doing on the page without the additional lines But if you do have something you can also go ahead and Follow this process directly on the map if you want to So let's discuss a little bit about what we need to do in a case like this First of all the idea with a contour plot is to create these lines of similar values So first we're going to have to determine what lines of similar values. Do we want to use in? Simple versions of contour plots. You simply could you have a bunch of points that are all the same here None of our values are exactly the same We could make a very simplified contour plot by looking at the values four four four and connecting all the fours Or connecting the fives or connecting the sixes, but that's a little complex It's not exactly clear which ones you should connect and how and that's actually not really the way we're going to build our ISO lines So what we're going to do here the first thing we want to do is establish a range for our data Where the range is the maximum value of the data minus the minimum value of the data So if I peruse this Map I look carefully and I try to locate the maximum value Which appears to be the highest value of six point two four here in the lower right On the right side and our smallest value our minimum value is this value three point eight six So I'm going to record those two values the max minus the min Take my max value and subtract the minimum value to find my range and those values are again the six point two four And again, there are no units supplied if there were I should keep track of what they are six point two four units minus Three point eight six units gives us a value of two point three eight as a range for my data Now my next Part or the next piece is I need to choose how many contours or how many lines Choose number of ISO lines How many lines do I want to use to divide up my information? Usually a good number is somewhere between five or ten a little bit closer to the five Depending on the size of the map and how much data you actually have but in this particular case We're going to go ahead and use what we'll assume five It looks like five divides pretty closely into two point three eight once we choose our number of iso lines If we choose five then we divide our range by iso lines range divided by the number is going to be Approximately point five now I do not have to be exact here in fact I'm going to choose not to be exact because I'm going to choose numbers that are convenient. I'm going to use a Intervals this is actually called an interval size of Point five which means I'm going to count In increments of half a unit once I've chosen the interval size Then I can choose a convenient set of intervals in this case I want to find intervals that range from my 3.86 to my 6.24 and Count up in these values of point five Well, I'm going to choose numbers that work nicely. I'm going to start at four four point five five point five and six and you'll notice by choosing those I have now chosen five iso line values That are going to fit within my range from three point eight six to six point two four so there are my Iso line values and I'm going to end up having six intervals I have five values, but I'm going to have six intervals First of all, there's going to be the interval from three point eight six up to four There's going to be the interval from four to four point five up to five up to five and a half Up to six one two three four five intervals, and then we have one more interval from six up to six point two four So we have six intervals that we're going to have For our data and for our contour plot here So now that I've established that interval size we'll keep that in mind as I return to my map There's my set of intervals as I'm looking at my back And now the next step is I'm going to go ahead and choose a point to start from and I often like to start from one of the points It's near the edge near the sides of the map to start to work from and Or usually one of the lower values That are or the higher values You're the sides of the map in this case. I'm going to go ahead and start with the three point eight six Here's this value three point eight six and Once I've chosen that value. I'm going to go ahead and choose a neighbor figure out what its nearest neighbors are and lightly sketch Direct lines between the value and its nearest neighbor Okay, I'm going to select a couple of neighbors here All right now that I've done so I'm going to start with this closest neighbor here this five point oh six and I'm going to look and see which intervals fit between the 3.86 which happens to be our lowest minimum value and the five point oh six and I recognize that those intervals are four and four and a half and five all three of those intervals fit within this range of three point eight six To five point oh six so there's going to be a range here where I'm going to draw in a line for four a line for 4.5 and a line for five Somewhere along this line now if I want to be particularly careful and particularly exact I want to measure this distance here to figure out exactly how far to go. Let me actually Walk through that process here. I know that my range of values goes from five point oh six To three point eight six And if I subtract those two I get 1.2 units the value Extends over 1.2 units I'm similarly if I want to be careful here. I can measure the distance here And if I measure this distance, I don't know if you can see that but that's a distance of three centimeters Okay, well now I would like a relationship Between how much distance there is for one unit? so I understand here there are our Ratio or our slope is three centimeters per 1.2 units and if I do the math there three divided by 1.2 I Get a value of 2.5 centimeters per unit So if I know there's 2.5 centimeters per unit I can go back to this grid now and I need to know I would like to know where to put the four the five The four the four and a half and the five and we know that there's two and a half centimeters between each one Well, I'm going to work backwards from the five I know the five is very close to this five point oh six So I'm going to go ahead and mark that five right next to the five point oh six And I'm going to move back that two and a half centimeters Two and a half centimeters ends up being right there There is my position for Well, that's one unit away if this is my five This is one unit away that must be four and then halfway between those two at about 1.25 centimeters is the value four point five Notice that the four the four point five and the five are equally spaced here and There's a little bit of space there representing the difference between the three point eight six and the four and a little bit of even less space They're between the five and the five point oh six Now if I want to be very careful I could do these calculations and be carefully do these calculations for every one of these But that's going to probably be a lot more detailed than I actually need To do my math What I'm going to try to do for each of these other lines is do a similar thing But notice the spacing is going to be different here I have a range that goes from three point eight six to four point five five That's going to include four and four and a half, but it's not going to be anywhere near the same Distance as between four and four and a half here. It's going to be much further Spread out so I'm going to have to estimate four and four and a half in a different fashion there Just to get a sense for how much it's that's going to be I look and I see that this is about 10 centimeters and 10 centimeters is going to represent four point five five minus three point eight six, which is about point six nine Units so if point six nine units is equal to ten centimeters Five centimeters is going to be about point three five units. So about halfway there is going to be 3.86 was point three five is four point one or four point Seven or so now I don't need the value four point two seven I'm just trying to get a rough estimate for where things are going to be because what I'd like to put in here is 4.5 and Four well, let's see here four point two seven and four point five five Four point five is going to be very close to the end over here I'm going to estimate it to be right about there and between three point eight six and four point two seven we're going to have four a Little closer to the three point eight six about a third of the way there So I'm going to estimate it as being about a third of the way there again I'm not being extremely careful But the idea here is to sort of get a spacing that's equivalent in length. So if I put this at four and This at four point five notice of roughly half between is a real about where four point two five is I'm not being Extremely careful if I wanted to be extremely careful I could again measure this out and then figure out how much distance would go between 3.86 and four figure out how much that is in centimeters and continue Once I've sort of created a value of four here and a value of four point five there I Can start creating a little bit of an iso line. I can start making some connections. I see there's a four here and a four there I'm going to choose a different color here and with my red I'm going to connect the two values of four and I'm going to connect the two values of 4.5 These are the beginnings of my iso lines Now I can do a similar process With each Part here. I now move from this three point eight six to the six point oh one I Recognize the numbers that have to go in there. Let's see here between the three point eight six and the six point oh one There's going to be one two three four five all five of these Need to fit in which is the little bit On either end so If I need to fit five and change intervals into eight This is approximately a little more than eight centimeters eight divided by five is going to be about 1.6 centimeters per interval So I'm going to start down here at six go about 1.6 centimeters go another 1.6 centimeters go another One point six and that's not one point six centimeters go another one point six centimeters and then my final 1.6 centimeters again sort of a rough estimation there Notice this is a little bit. Let's see here. Does this take into account all of them? There's five if six is right up here at six point oh one There's five point five. There's five. There's four point five and there's four That's a little too far away from the three point eight six. Maybe I need to shift it down to make it a little bit bigger Okay, so I'm going to make these there six again make it slightly wider for each one And now I can go ahead and label those four four point five five five point five And then there's the six down there and perhaps because the six was so close I should divide them Again, we're trying to make even spacing between each of these With a little less space on either side and I'm doing my best to estimate in this case Although again, you can measure them more carefully if you would like and now I can connect the four And the four point five And I can even connect here the five between these two particular points, but I don't know how much further it goes I again repeat that process out here on the side Over here four point six six and three point eight six Well, let me make some estimates there three point eight and four point six Let me go about halfway Which I would recognize as being four point two six is about halfway About halfway between each of those is going to be Four point five Four point oh six and halfway here is four point four six and notice I'm looking for four point five which will place right there and Four which will place over there So again using a couple of different methods to approximate where those pieces are But now I have marks for four and four point five and Again connecting adjacent points that have similar values So now I've sort of established Values between three point eight six and It's various neighbors and notice there's an assumption that I was making in this process And this is kind of a key assumption the assumption is that there is a linear relationship a linear range Along any one of these lines that if I have a value such as my three point eight six and I'm moving through space To a place where the value is six point oh one as I move through space my assumption is That the value rises linearly That is not a perfect assumption for all we know it could dip down or it could rise up or there could be some Strange bumps in there, but because we have no information about what's occurring in the middle our Simplest guess our simplest interpolation is to assume it rises evenly over The segment and those are the assumptions that I'm making when I'm making each of these lines to interpolate Somewhere in between So we've begun our contour plots here What do we do next? Well now we can repeat the process By choosing another point this time. I'll choose an interior point and Choosing a few more Lines connecting it that point with its neighbors. I'll again sketch these lines in lightly In this case it has some neighbors that are significantly further away And once again, we're going to try to make estimates for values between each of these points We'll notice here in the case of four point five five to five point oh six That that range only contains the five point oh I mean that only contains the five and it's going to be relatively close here somewhere along that line So let's see here If we measure this distance here, we'll see that that's about nine and a half centimeters Which is equivalent to about half a unit Well if I want Point oh five Units, which is about the distance between five point oh six Okay, that's going to be a tenth of that nine point five centimeters or roughly Point nine five centimeters are about a centimeter. So my location of The line for five is About a centimeter away and now since I have a five on this line and a five on this line I can connect that contour I'm going to similarly try to make estimations on each of the other lines notice this one is five to six We have the number five in five point oh six to six here So we're going to have basically the values five and a half and six Well that five and a half and six Going up to six point two four Let's see here five and a half if we go halfway between five point oh six and six point two four It's about twelve. So halfway is going to be 5.65 is the point that's halfway there and we're looking for five point five Let me divide that again if I divide this in half Halfway between five point six five and five point oh six is going to be about five point three six and So we can estimate in that particular space there going from three to six that this is roughly three four five We're going to call this position here five point five again. You can be more accurate if you would like I'm trying to get an estimate for where that position is There's five point five And then we had this five point six five let's see if we can figure out where six is Well, if I'm careful I can sort of see that this is a distance of about five centimeters if I go another five centimeters I'm going to get to the point that represents six now notice Oops, this is five point oh six. There's another very close spot right about here representing five and now my Contour curves there, but there isn't a value of five point five here anywhere to connect yet Where is that value going to come from? Well that interpolation is going to come where between this four point five five and the six point two Now I'm going to even be a little less accurate We're going to say it's here four point five five and six means I have a five of five point five and a six to fit in there We're going to see the five is about a full distance a full distance a full distance and maybe half a distance So I'm going to see if I can do that Full distance full distance full distance. That's not quite a half. Maybe I can extend that out a little bit further a Full distance a full distance a full distance. No, that's not quite that So let me go a little bit shorter. We'll call that a full distance a Full distance a full distance and a half a distance So now I'm beginning to eyeball it a little bit more than being accurate if I'm using a computer Or if I care I can measure each of those but now I'm going to label this as being the location of five Which is about half a unit from there. I'm going to label. This is five point five Which is the same half a unit and label this here is six and notice the distance between six and six point two four is less than those other lengths by about half and Now I can make a couple more connections here interestingly We have some relationships. We have to start thinking about in this case Here's our connections between six and six and our connection between five point five and five point five But now we made an interesting sort of connection in turn here And I actually made a mistake Here I said that this was a value five, but if I look carefully this goes from five point oh six up to Six point two four this value here is not a five that value here well, it isn't Five five is less than five point oh six so the five actually doesn't count here because this is the value that's going up so Let me fix that mistake Say oh the curve doesn't go here, which is helpful Because somehow we need to connect this value over here this five. That's over here. Let me go ahead and Interpretate to connect Notice we're beginning to get these segments these intervals across our area I'm going to sketch just a couple more intervals So we get a better sense for what it looks like Notice something very interesting has happened here. I have a range here that goes from five point oh six to five point four three We have none of our intervals actually passing through any of that range So even though I can estimate where five point one two three and four are There is no five point five or even a five for this actually to attach to so where do these two intervals go to? Well, both of those intervals must actually exit out Here in this case six point two to five point four we have Five point eight in the middle. This is about six point oh this would be about five point six so about five point five right about here and so now my contour at this side turns and Turns to connect there Whereas on this side over here The number five that we actually have attached here We do have a value five here, but we don't have anything to connect it to quite yet Neither do we have for the value four point five Here at the moment. I'll continue And now I have some other connections to make 5.5 connecting to five point five connecting to five point five five point oh connecting to five point oh four point five connecting to four point five and You can see how the contours begin to fill out now that I've established some more values for our various contours I can start connecting them. Here's five point five connected to five point five Here's five point five connected to five point five Here's our five connected to our five right here, which can connect to the five over there This five point five needs to find somewhere to sort of escape or get out so it connects to the five over here our six Connects to the six which connects to the six which connects to the six in each of these locations There's a there's a value that's surrounding the six point oh one and you'll notice We actually get sort of a circle here usually when you have something that encapsulates or that goes are all the way around That represents a high point or a peak. We have a high point here around this particular point Similar when I try to connect these five point fives We end up finishing the circle there. You can connect the points to five here and similarly five point four This is roughly five here between four point three. This is four point five All right, and with that we've completed at least the interpolation parts or the inside parts Well, actually I could add one additional piece down here between the five point three seven and the five point four three Notice we actually don't have a piece that can escape there So we must connect these two here So now I've completed the interpolation the inside parts of my contour map notice if We wanted to know information outside the map we would have to do some Extrapolation extra going outside of the points extrapolation Unfortunately since we don't have any information out that about the area outside the points the best we can do is make an estimate by Roughly sketching usually with dotted lines where we think The curves might be taking us however because we have no idea about the values outside of there We don't necessarily have any idea about What might happen it could curve back Down here at the bottom we could have it curving back around Okay, but again this becomes a guess and the further we get from the outside Outside of our points the less valuable this information becomes Let's interpret what this information means Each of these lines Represents a value and if we're smart we'll go ahead and label that value. This is the value for This has the value 4.5. This is our five value. This is our So there's our value five. This is also our value five. This is five point five This is six. This is six and this is five point five and this comes down to four point five So each of those lines has a value that anywhere on that line That's the value that's associated with it. So if this is inches of rainfall I could say reason I I could make a reasonable estimate that the amount of rainfall at this point here Which we didn't measure would actually have a value of five The intervals themselves also have a meaning basically any space that's represented between any two intervals For actualists for example the space I've shaded in Basically states that the rainfall there ranged from four point five to five and if you would like to interpolate any space in there you can do so by Estimating how far you are away from one line or the other if you're halfway in between that might represent a value of about 4.75 if you're a little closer to four point five you could estimate that that value is something around four point six Going this direction four point eight four point nine, etc


What's up everyone? My name is Alex. I'm one of the co-founders of MyInvestingClub.com and I want to let you guys know about something special we're doing for our viewers on YouTube. So the most common question we get asked is, you know, how do I start day trading? So what me and my mentor about it is we create a free two-hour mentorship course for the brand new trader. It's going to be available at MyInvestingClub.co. The link is going to be right here. This is a free webinar that reveals our 12 secrets that every single brand new day trader should know before they start. I also want to let you guys know about something that's very unique to MIC. So if you have any questions about trading or you're curious about trading or you don't know if MIC is the right fit for you, now you can text our head mentor, Tash, whose number is going to be right here and he'll answer all the questions that you have in less than 24 hours. Thank you and enjoy the video. Hey guys, it's Harry Haas here and today I'm going to be doing a video on when I personally stop longing. This has been kind of coming up a little bit, so I thought I would make a video on it. Well, I'm not a licensed financial advisor. This is purely for entertainment or educational purposes. That's pretty much it. It's not investment advice, even if it may seem like it. So without further ado, let's get into the video. This topic has been coming up a little bit. So basically the way this video is going to work is I'm going to give two trade examples showing how I kind of used what I'm talking about here. I'm going to also go over my day two rules because there was a day two play this week, aka ER, where a couple people did end up getting trapped on it, unfortunately. And I'm going to show some rules on how to prevent getting trapped on a day two stock also. So it's kind of like just a mixed video. It's more so just how to long safely. So I thought that I'd start out with the window of opportunities during my day. So basically what I found and how I've kind of found my P&L kind of works is that in the morning between 9.30 and 9.45 is when I'm making probably most of my money. It's when I'm sized in. It's when I am able to help capture some of the good range at the open. And I find that between 9.30 and 9.45 I'm getting a lot of opportunities. It's where most of my money is being made. Now between 9.45 and 10.15 I'm still seeing opportunities but I'm trying to force less and I'm also starting to size down a little bit because I know that some money will be made between 9.45 and 10.15 but the quality of ideas that I'm coming up with in my head and the trades I'm taking are, you know, they're getting significantly worse.  This time window is where I am still kind of making a little bit but just not a crazy amount. Now between 10.15 and 10.30 this is really interesting is when I get significantly less opportunities or when I see significantly less opportunities and this is a time friend that I know I'm likely to give back gains I'm likely to try and you know all the emotional stuff that kind of comes in with trading I'm saying to myself oh well I could have made more on an earlier play or I could have done something better or I could have done something different or oh I should be up more money or all those things that come into play. So this time I'm really cautious trading around 10.15 to 10.30. Now 10.30 to noon is where it's either I'm getting no opportunities at all or we have a hot chicken play where I can size up a little bit more and take advantage of a zombie and that's kind of what I do. If I don't see any good zombie opportunities or you know any stocks in play or stocks that are not are not doing you know good volume I'm probably going to walk if if I don't see what I like and this time frame is kind of 50 50 for opportunities for me. I'm either going to see something or I'm not. So I just thought that I'd kind of give a good window of opportunities during my day because a lot of people have kind of been asking me like what's your day kind of like can you run me by how many opportunities are you seeing a day or you know I get a lot of questions like for first bounce like when am I going to see the most opportunities or when do you like to hit the gas and then when do you like to slow down. So I thought that I'd kind of just kind of show what my day is kind of like according to my own statistics in the in the in the training session. So now let's kind of get a little bit more into the video topic. So reasons why I stop long longing reasons why I take profit reasons why I walk away. This would probably come into more of the the walking. So I know that at 1030 I'm either I need to walk by 1030 and this type type of time window or I need to stay and keep training. And that's basically kind of my own idea. It's just kind of what works for me. I know after 1030 is a time where longs can take control but if there are no good stocks in play and no good opportunities then I usually just will walk. So basically reasons why I stop lying would be signs of backside. So any sign of backside or any sign of weakness and I like to go out and I'm going to show some examples. I think I have already shown some examples in prior videos of things like the death line etc. where I don't like to long but so any signs of backside you know making it significantly higher to long. So if maybe every single every single pop is getting sold into if we're getting a series of higher lows if I'm seeing volume decrease if I'm seeing the stock below view app if I'm noticing that it's having a lot of trouble going higher heavy tape. Now this is more of a kind of acquired skill the more you trade the more you'll kind of understand this because when I first started trading I was like oh you know any red on the tape and like this stock is definitely done. That's not really what it means heavy tape is more so there's a lot of selling and every pop is kind of getting sold into so it's basically kind of explained in this video and you'll kind of see you'll notice death line. This one obviously you can tell anyone who bought above this area is now trapped. So obviously the one time it pops you're going to have a ton of long traders just looking to get out hoping just you know to minimize their loss as much as possible as it keeps climbing down this one where all longs are trapped and there's no lines left. This is kind of similar to this one as well except this one's kind of like a downtrending stocks these these stocks that downtrend I know Alex talked about it it's so funny because I made a video my last video of you know longs to avoid and all the longs that I don't like and I was watching an MIC video and he's like I love those stocks that downtrend pre-market I'm like yeah well I don't like them because those aren't my type of pattern but it's funny how you can see the stocks that I love are the stocks that you know Alex is like no it's an avoid and the stocks that I don't like Alex is like oh man this is a prime short setup and it's that's an example of longs working together and it's so funny because when Alex had a day where he made $62 that was a big day for me but when Alex had a big day it was a day where I made less so it's kind of funny how the market changes and how every day is not going to be a big day so that's just something that I'd also point out as well this is a day to rule I thought I would share this is this video is more so kind of like a recap on this week and the almost last week as well because there were kind of a lot of things that were going on and there were a lot of lessons so on day two this is one rule that I thought I would share and basically my rule on day two backside is you know any especially day two as well because day two you know it's been up for two days so you should be kind of getting a higher time-trained pullback you should be looking to kind of you know there could be an offering there are a lot of things that can happen day two day one we know that the stock if it is going to pump that's the time for it day two this is more the dump day day three I honestly will not touch and so basically my rule for day two any any backside I'm out the reason being is that they can dump hard once the crowd starts bailing this was actually a message to a member was a comment back to a member and I said sorry to hear about the offering and use it for a lesson for next time and you can develop rules around this so I thought I'd kind of share this message comment that I had to a member because you know day twos they're they're very very very unpredictable and this is kind of why I made this slide because I realized I never really talked about days day two as much as day one so for day two it must be the hot chick it must be doing good volume it must show signs of strength it's got to be above view app and I'm looking for a quick type of move I'm not looking to get married on display it's not a hold I'm not saying it's going to the moon and I'm not I'm not looking to so the zombie hours kind of gets tricky with day two because with day one zombie hours it's like well it hasn't really sometimes it hasn't made its full move or sometimes it hasn't made its full pump but when you're longing into into zombie hours and the volume is fading on day two the odds are very they're stacked against you so on day two I would not be looking to long into zombie hours like there might be one exception where we have a super low float and you know the stock's going crazy but honestly those happen like like at most once every two or three months so it's really important if you're just trading day today for consistent gains every single day that you know you don't want to be trying to long into zombie hours if the stock is fading the edge is just against you and I wouldn't necessarily recommend trading new day two if you're new and I wouldn't recommend trading day two in the pre-market or the afternoon I know that we have some people who who just trade at the open we have some people who long pre-market as Alex says pre-market is really just FOMO but we do have some people like if if you're just really looking to scratch the itch pre-market this is not the the stock to be doing it on because you have a lot of offering risk I also point this out is that sometimes you can not predict an offering but you can say okay now the odds really aren't in my favor for a long and you can you can kind of see this watching Chicago's videos on fundamentals like sometimes they'll have an s3 but it's not an effect and they'll use that s3 to dump shares I'm not really a fundamentals guru I'm not really you know guru and anything for that matter but I'm not really I'm not great at the fundamentals because day to day for me it's not of a very important part of my trading because I'm just trading technically off the lines so anyway thank you guys for watching I really appreciate it if you have any questions let me know for sure I'm always in chat I'm always around and I just like to say thanks a lot to all the members for tuning in and watching and I'll be back next week with another video thank you so much for watching our video you want to see more of our videos please subscribe to our YouTube channel by clicking the button here we do our best to post a new video every single day if you have any questions about MIC or any general trading questions please text Tosh using the number here also stay up to date by watching some of our most recent videos right over here


In the end, the captain, or my enemy, arrived when the aircraft was coming to destroy the truck. Left knee below is gone. You see blood leaking out of here. There's a mutation. But you're looking here. Still not breathing. Still not breathing. We're setting up security up the hill. Whoosh! Alright, so what's next? You're awake. Go ahead. Okay, IB started. What are you running in it? The helicopter. Alright, sounds good.  You've got to call the helicopter first, don't you? Airfield. Yelp. Frequency. Yelp. One, two, three, four. Patient. Uh...


Internal Revenue Service IRS tax news, claiming a child as a dependent when parents are divorced, separated or live apart. Okay, here's what you do. Make sure you file first, locking down the kid's social security number on your tax return, resulting in an inability for the other parent to file using the same one. It's the old adage, a critical part of a common law tradition. The early bird gets the worm and the early tax filer gets the child tax credit. It may also fall under one of the oldest, most famous and highly distinguished concepts in the grand history of our common law tradition, commonly referred to as Finder's Keepers. I discovered this child tax credit first and hereby lay claim to it as is my right under the ancient article of Finder's Keepers. Okay, that was just a joke, probably not what you want to actually do here. Now we're down to the IRS Tax Tip 2022-98, June 28, 2022. Parents who are divorced, separated, never married or live apart and who share custody of a child with an ex-spouse or ex-partner need to understand the specific rules about who may be eligible to claim the child for tax purposes. Now this can actually be quite confusing. Obviously if you're in a married type of situation and there was one child, the two people now file one return and therefore it's fairly straightforward, but if you now have two parents in some way and then the one child, then it can be kind of confusing in terms of which tax return should the child be claimed on and it could be a significant factor because of things like the child tax credit and the possibility, for example, to be changing from a single filer to say a head of household filer. So these are things that if you're in like a separation kind of situation that you would like to make as clear as possible in the agreement so that there's not any confusion on it going forward. You like to be as clear as possible on these kind of things and you have to take into consideration the tax consequences around them because they are, can be significant in terms of dollar amounts. So this can make filing taxes easier for both parents and avoid errors that may lead to processing delays or custody tax mistakes. So only one person may be eligible to claim the qualifying child as a dependent. So here's the big kind of issue or the problem. If two people file the tax return with the same social security number, most likely the second one to file if filing electronically may not even go through because the tax software is going to say, hey, we've already seen this social security number and name being claimed by someone else and therefore you're going to have an issue if two people try to claim the same child. So the IRS is saying we're not going to give two child tax credits and so on and give two filing from single to head of household benefits to two people for the same child. We've got to somehow determine who's going to get the tax benefits from the child. So only one person can claim the child benefits related to a dependent child who meets the qualifying child rules. There's a link to that here.  So you might say, well, look, why can't I just take the one child? We're splitting the custody straight down the middle. Everything straight down the middle. That's what the agreement has been. Why not just take the benefits down the middle? But you can't really do that necessarily because one reason is that it would just get really confusing if you did that because as income goes up, for example, there's phase outs to the child tax credit possibly. And if one parent has another child, then they may already be claiming a head of household status and so on, whereas the other parent might be single. And if they were to claim the child, they'd have a head of household status. So it's already quite complicated. And if they were to do that, it would probably increase the level of complexity. But in any case, for whatever reason, you can't generally do that. So you might want to take into consider it. You could try to, if you're still working together on this, you could try to determine what would be the best benefit possibly and then work that into the arrangement or agreement that you have. But in any case, it's important that each parent understands who will claim their child on their tax return. So again, you want to be as clear as possible on these kind of things to avoid the confusion. So if two people claim the same child on different tax return, it will slow down processing time. Well, the IRS determines which parents claim takes priority. So oftentimes it might just kick back if you try to file electronically, because again, you're trying to file with the same social security number for the dependent. But if you were actually to send in two returns, possibly sending them in with a paper return, then the IRS is going to get confused and they're probably going to send out letters and trying to determine who has the custody rights. So that's going to slow down the IRS and if you're waiting for tax refunds, that'll be a problem. Custodial parents generally claim the qualifying child as a dependent on their return. The custodial parent is the parent with whom the child lived for the greater number of nights during the year. So if you're trying to determine which parent should be the one that claims the child, typically the custodial parent, the one that the child lives with. The other parent is the non-custodial parent. In most cases, because of the residency test, the custodial parent claims the child on their tax return. If the child lived with each parent for an equal number of nights during the year, this is that split custody situation, which is a common kind of agreement oftentimes. The custodial parent is the parent with the higher adjusted gross income. And that's because they would assume that the one with the higher adjusted gross income is now splitting custody and it's probably the one then that is paying more for the child's support and so on. And so that's why it would go there. So notice that the custody situation often in traditional settings, this may be changing as time passes, but traditional settings you would think that the custodial claim would typically favor possibly the mother who might be more likely to have higher more of the time spent with the mother possibly and therefore more likely to claim. But if there's an even split, then the AGI component could lean towards the higher income individual, you know, whoever that is. So tiebreaker rules may apply if the child is a qualifying child or more than one person. So although the child may be the conditions to be a qualifying child on either parent, only one person can actually claim the child as a qualifying child provided the taxpayer is eligible. People should carefully read publication 504, divorce or separated individuals. There's a link to that here to understand who is eligible to claim a qualifying child. So again, usually this stuff is fairly straightforward. But when you have these kind of situations where possibly you're not sure if someone is divorced, for example, or there's a separation but there's joint custody to it, or you have a situation where multiple people actually qualify to be able to claim the child, then what's the tiebreaker rule? Those can get kind of confusing. So you want to dive into that if you're in that situation. So non-custodial parents may be eligible to claim a qualifying child. Special rules apply for a child to be treated as a qualifying child for a non-custodial parent. So the one where the child isn't, you know, mainly living with for the majority of the year. The custodial parent can release the dependency exemption and sign a written declaration or form 8332, release a revocation of release of claim to exemption for child by custodial parent. So in other words, the custodial parent would typically be the one that the child lives with more, would typically be the one that gets the credit. But they might for some reason say, I'd rather have the other parent take the credit, possibly because it would be more beneficial from a tax standpoint. And if you're still kind of working together, then you might say, maybe if it was more tax beneficial for the other person to claim the credit, then we could work, you know, maybe that may be for whatever reason that would be a better way to go. Again, there's a lot of factors to kind of fit, to kind of look into, to whether that would be the case or not, but in case that option might be there. So for the non-custodial parent to submit with their tax return. So this also applies to some tax benefits, including the child tax credit, additional child tax credit, and credit for other dependents. So it doesn't apply to other tax benefits such as the earned income credit, dependent care credit, or head of household status. So notice again, if you were in that kind of situation, it doesn't apply kind of to everything. So once again, this also applies to some tax benefits, including the child tax credit, which is kind of the big one, at least in the current situation, the additional child tax credit, and the credit for other dependents. It doesn't apply to other benefits such as the earned income credit, which is that other refundable credit, dependent care, or head of household filing status. So that filing status could also be a significant kind of component. So you want to make sure you understand the significance there from going from single, if you don't have any children to the head of household, possibly requiring typically a dependent child to move to that filing status, which typically has better tax rates and so on, than single, which is typically the worst filing status for tax purposes. So more information can be found below at the publication 501, dependent standard deduction, and filing information, whom may I claim as a dependent. I'll tell you whom may be claimed. And so there's links to that stuff here, and there'll be a link to this in the description.


Hi, beautiful. What am I wearing? What do you mean this? This outfit? What is it? And no, it's not Balenciaga. It's actually not Gucci either. It's actually just my merch. It's so cute. I'm sorry, but like, I didn't have to pop off like this. It's like so annoying. I hate myself for it.  If you get the sweat pants, it says it on the leg. And we have a t-shirt underneath. And we also have a tote bag and a hat. Where are those? Where's my tote bag and hat? And we have this beautiful zip-up because we only do high quality here at X-Mondo. It also has a little pocket inside. Literally, these are the softest hoodies ever.  Also has these amazing high quality strings. And just like everything just is so high quality. You guys will know when you order it yourself. Also, we have this, we need so cute. Are you kidding? This is Live Your Extra Life embroidered on it and the embroidered X. If you guys would like brand new Live Your Extra Life merch, I know it's been so long. You can shop it below. But also, I'm doing a giveaway because it is the holidays and I just love giving you guys stuff. I'll be giving away three sets of merchandise to three of you. All you gotta do is follow me at BradMondoMIC, at X-Moto Hair and at X-Moto Color. Those are my three Instagrams. They're all linked below. Just follow them all and you'll be entered to win. Just show your love basically is all you need to do and just show us why you wanna win. And we will be picking three of you guys on Monday, December 28th. I'll be posting it on my story and DMing the winners. Good luck. Can't wait for you guys to get your hands on this merch. All right, today we're watching season 13 of America's Next Top Model. And I'm pretty sure we only have like four more of America's Next Top Model episodes to go. If you guys wanna binge the rest of my reaction videos to America's Next Top Model, you can check the link below. It's a playlist with every single America's Next Top Model reaction video I've ever done. We're doing the huge. We're gonna see how these makeovers go. See if there's any good ones, bad ones. I'm sure there will be a lot of bad ones because you know, things go a little weird on America's Next Top Model sometimes. I missed it. I feel like I haven't watched these in a while. So let's see what happens today. Let's do it. Let's start watching the episode together. I'm so excited. It's good for this haircut. And I wonder what they're gonna do with you. They tell us we're having a tie over. I'm like, yes. I'm like, yes. Brittany, we're going to edge you out and make your hair darker. Don't be scared.  We're gonna make you darker. They just start f***ing scribbling all over her. Okay, she looks a lot older with the darker hair. I don't think it's gonna look very good but all right, we'll give it a try here. Let's see what happens. You don't look calm anymore.  They are killing me. Oh my God.  It's seductive. I think it definitely gives me an edge. I think it's too dark for her skin tone. I think it really washes her out. I don't think the makeup is helping either but the blonde, she looks so much healthier. It looks so much better with her skin tone. They could have made a darker, like brought down her roots a little bit. Made it like a darker shade of blonde but this shade of brown is just really too dark for her, in my opinion. Aaron, for your tie over, I'm gonna make you ice blonde, honey. It's a little cold. I feel the ice and we're not gonna stop there. We're gonna do the brows too. It was a real shock to see all this platinum on my face but I feel a lot more high fashion. I'm sorry, what? This is so pretty. She looks like a goddess. First of all, great execution on that color. It is so perfectly blonde. It looks delicious and healthy. Her eyebrows blonde is the chef's kiss. Like, oh my God, she looks so good. Whoa. I hope it's being shaved. You're getting shaved? I'm not a big fan of Nicole. I don't know if she's being sarcastic. I don't know if she's being humorous or if she's being serious. She wants to shave it. Makes me nervous when she speaks. I like eyeballs. My nickname when I was little was Bloody Eyeball. That is literally me to use here, Emma. What? Somebody's like, this girl makes me scared when she speaks.  That's actually literally you. Literally you. It's me on a reality show. That's literally you. It's like sitting in the- Flash to Brad. Eyeballs, flash to me. Just like- Flash to Brad, flash to me.  And then back to me and I'm like. And you're like- Cheetos? Yeah.   Brad, I wrote this song last night. Rachel, I love your dark brown doe eyes. And I think- Oh, she's so pretty. Hair would look fantastic. Yes, I agree. Oh, wait, who is that sexy woman, Rachel? Okay, get back off the mirror. I am- Ooh. I feel like it makes me look sophisticated. Okay, so I still think it was too dark. It looks kind of like it doesn't reflect light. Like it's a very inky, like dark color that has like no depth to it. I think it's lacking like highlights. I think that's what it really is for me. Like having just one solid color brown that has no reflective properties to it, I just feel like it looks kind of like muted and dull. You can have like lighter brown highlights in between or something that just kind of like adds a little bit of spice, you know? Otherwise it just looks kind of inky and like dark and like it's kind of like weighing them down. I don't know, not my favorite look, but was cute. I think her eyes definitely stand out with this hair, but I would have liked it with a little more highlights going on. Jennifer, for your tie over, I am going to cut off some of the- Yes, yes, she needs that.  I feel that I look more like a model on how the industry wants to portray me and it wants to see me. You look the same. I would have liked her to do like a full on like bob. Maybe like down here, been nice for her. Can straight bangs, bang, bang, boom. I think she would look so much more like a model. I think this hair is like kind of like LA girl type of vibes. I do though, like the dark hair on her. I'm glad that they stuck with the dark hair. I approve of that. Just the haircut was kind of like what did you do there? Lisa, you got that long, beautiful- Lisa. Here, but that's the problem.  So we're gonna chop it off. Yes. It's good. No. That's it. Coming back, there's nothing about her to me that stands out. Her presence is not, hello, I'm here. I was expecting to have like a drastic, drastic, drastic change. Yo, they really screwed her over so bad. Y'all really hit her with that brown hair with a little slight trim. When she already looked like not, I'm not quite a model yet. I swear to God, they sabotaged some people on this show on purpose. Or maybe the hairstyles just thought it would look the best like this. I don't know. But I think she would have looked so much better if they did something totally drastic, like made her platinum blonde or like pink or something, gave her like a short haircut and made the thing pin straight, like just totally opposite of what she has now. I think it would have at least put her in the competition and gave her a little more personality and a little more glow. But this is just not cutting it for me. All the hair, Ms. Sunday, had this on her hair. I think it's hot on you. Sunday, yo wee. Sunday.  Ooh. Oh. Yo, it's really cute. I can definitely work this. Definitely love the short cut on Sunday. She looks beautiful. I think it brings out the beautiful bone structure in her face and makes her cheekbones appear higher and fuller. Obviously, this haircut's a little dated. Not my favorite haircut of this time, but it worked back then. I like the color on her. I think it was all around pretty decent. Not my absolute favorite, but decent. Courtney looks fabulous as she is. I just think that her little hair needs a little bit more red. It doesn't make me look ordinary like Plain Jane, which I like. I think she looks a bit older, but I love it. I would 100% wear that hair. I want red hair. Once we come out with red color, I'll do it right. Oh, yeah, for sure. 100%. Oh, yeah. 100,000%ers. You're going to jump on that one. 80,600%. You're going to be driving that wagon all the way. I'm going to be red-headed and bushy-tailed. But her hair is exactly what I would do to mine. I love that it's all spiked up. I love everything they did to her hair. I don't know if it was the most optimal haircut and color for her, but I think she looked good, and I think she looked way more like a model after. Just at least she had some kind of presence. When she walks into a room, you're going to look at her type of vibe, you know? Lulu, with those gorgeous eyes, I want to bring some emphasis to them and give you a bang. And you're going to get a weave on the sides. I've never had a weave before. Oh, wow. Big transformation. Oh, we're getting some good ones today. Okay, Lulu, you look good. They do do good. I don't know. The weave looked a little janky for some reason. Like it was a little like flat in some areas that it wasn't supposed to be. I think it looked a little more rounded at the top. Maybe it was just the braids that were a little weird underneath, but love the bang. Love the cut. Love the straight hair and love the color. I think it was beautiful. I'm into it. She looks incredible. Like really solid makeover. When I realized we are getting makeovers, I was like, what are they going to do to me? Bianca. What are they going to do to her? Chain Janya, those brows. Oh, they're giving her blonde brows. They're not going to bleach the top of her head too though. Scared. I think it's going to look dope. Oh my God. It feels like acid on my face. It was burning. It hurts. Oh. It's not supposed to burn like acid on your face. It's really horrifying. I'm so sorry that happened. What? It burns like acid on my face. Well, it has that effect. It's not supposed to. But you're supposed to be going to the hospital. No, it's scary.  No, but wait a minute, wait a minute, wait a minute. No, you need to understand, this is a look, honey. That was like, where are my brows? You don't like it? I don't have any eyebrows.  Girl, they stole them from you. Honestly, the first time I saw it, I was like, I hate this. This is not something I would have gone to a makeup artist to get done. Like I look like an alien. And I do think the alien look is good. So, I mean, it's not bad. I'm undecided on this one.  Nicole, I think for her tie over, she's going to need some fire. Yes, make her hair super red. Big lion mane. I'm feeling awesome after this sweet makeover. I'm like a beast with some high heels. Could have been really good. Didn't quite go as I planned in my head. I definitely like that huge, giant bae hair on her. It was really pretty. I think they should have done a deeper shade of red. But overall, I really like it. I think I'm happy they stayed with that copper tone for her because I think it just really worked with her skin tone and she looks so good in that. But still, just not really my favorite. It was fun, but not like drastic enough. Frank, for your tie over, we need to ice you out some more, okay? I'm feeling the ice and we're not going to stop there. We're going to do the brows too. They're really obsessed with doing the brows this season. Blonde and it's amazing what a difference that can make. Whoa, that was beautiful. She would be one of my favorites, but I already picked a girl that got this exact same kind of makeover. Also, the other girl and her look very, very similar. They do that on purpose. Like why are they getting those same makeovers to two people? Just the blonde platinum hair with the blonde eyebrows. Come on, guys. They look like goddess aliens. Like it's just fun. You have to say it's fun.  Oh, Miss Laura. We're going to do a couple of highlights with a couple of different colors of highlightedness to make you sparkle and shine. First, I was very disappointed because I was like, I wanted something edgy. But after I start looking at it, I'm really liking it. I'm sure you are because it is very Texan and very big and dramatic. I hate it. It was just way too bulky for her. Like you couldn't even see her face under all that hair. I mean, if they're going to do highlights, really highlight it.  Oh, Kara, even your before picture is lovely and you haven't even been terracized yet. We're going to just brighten you up a little bit. I love the highlights. I feel like so like beachy, especially since my skin is still dark and I still have my dark eyebrows. I think that was one of my favorites. I mean, she looked good. It wasn't so dramatic. I just love that they did a little something and it really spiced her up. She looked so bronzy and I don't think she needed that much work and I'm glad they didn't push it too far with her. If you can bring out somebody's natural beauty with just a little bit of a new haircut or a new color, I think that's like the best thing of all. Ashley. Oh, Ashley is gorgeous. Center part and then a long blackish. I'm in love with myself now. Never had this much hair in my head before. Whoa, dude, that was so gorgeous. Again, another one that was like, they didn't do like so much to her and completely change her look, but it was so effective in making her look way more like a model. She looked stunning. Whoa, that hair was beautiful. Great execution on that weave. Okay, wow. So these makeovers were really, really stunning this season. I liked so many of them. I picked four of my favorites. I don't think I've ever done that before. Before. One of my favorites was Erin who had the blonde hair with the blonde eyebrows, gorgeous. Then we have Lulu who got the bangs with the long straight black hair, gorgeous. We have Cara who got a more subtle makeover with the blonde highlights, so pretty also. And then of course we have Ashley who got the center part with the really, really long locks. Subtle but beautiful. Obviously you guys probably know who my favorite is. It's Erin. You have to admit this is the most dramatic makeover and it made her look like an alien and it made her look like a high fashion model and that is what they wanna do is make them look like models and that's what they did with her. I asked my favorite. She looks so good. Oh girl. I hope your hair still looks like that cause it was impeccable. Ah, love me some American sex top model makeovers. Oh my God, again, we're almost done watching all of them. What am I gonna do? Should I watch other countries top models? Cause I did Asia before and I did Britain before. So we could do that again. Make sure you guys subscribe to me if you're not already, it's right down below. It's so easy, like just do it. You can also press the like button and the bell icon to be notified every time I post a new video. If you guys wanna stay connected with me and know every time I upload a new video, please text me. This is my number. Yes, it really goes to my phone. Yes, I really do see all your messages. So text me right now and I'll be texting a few of you guys right back. Make sure you guys enter my merch giveaway. If you have not seen the beginning of this video, go back to it. I'm giving away all my merch to three people. Go enter. It's really easy. Make sure you guys follow me everywhere else here on my social media handles. Ooh, there's so many. Just go for it. I wanna stay connected with you. If you guys want amazing, beautiful hair and hair color, check out XMODO Hair on Instagram and XMODO Color on Instagram to stay up to date with all new product launches and everything we're doing. You can also shop all my hair care products and color products right down below. Today's Instagram shoutout goes to Melanie. She says, hey, hey, hey. She's very curious on what you recommend for my hair. I've had the same hair for five years, very sick of it and need to change. Just not sure what to do. Immediately I'm thinking just chop it. I wanna see that hair gone. I wanna see it up to here. I just know to give you a new lease on life, you know? I feel like it'll revive your style. Also, make sure you get some layering in there. Your hair just looks a little bit heavy right now. Getting some layers in there will really help kind of umph it up and give you a little more roundness to your head up here and having a little bit of wave in there. It will look beautiful on you. If you do it, let me know. I'd love to see a pic and good luck. That's all for today, guys. Thank you so much for watching. Don't forget to live your extra life and I'll see you next time. Bye, guys.


Okay, welcome back, live in Las Vegas is theCUBE, IBM's Information on Demand Conference. This is theCUBE exclusive coverage, SiliconANGLE, Wikibon here live. I'm John Furrier, the founder of SiliconANGLE. I'm Joe, my co-host Dave Vellante, co-founder of wikibon.org. Our next guest is Fred Balboni, global leader, business analytics, optimization, IBM, GBS, global business services. Obviously big data is powering the world. Just the demand for information and solutions is off the charts. Fred, welcome to theCUBE. Thank you, John. There's a services angle here where services matters because one, in the channel partners, it's good gross profit for helping customers implement solutions that they have demand for. So you have a combination of a market that's exploding with demand. People know it's a game changer with big data analytics. Cloud is obviously right there on the horizon in terms of on-prem, off-prem. Then you've got obviously mobile devices bring your own device to work which is throwing off more data. And then people want to be in all the different channels of social business. CIO to CEO says, hey, this new wave is here. If we don't think about it now and get a position and understand it, the consequences of not doing anything might be higher than they are. So we've heard that. How do you look at that? And what are you guys doing? What's the strategy? Give us the quick update from GBS. I think that to make this successful, first of all, services is important. It's the last mile. That means the point you made. It's the last mile. And without that, you cannot ever deliver the value. The really interesting challenge that every executive faces is you need to be able to, we can easily get our head around big data technology. And I shouldn't trivialize that, but you can go and understand the technology, what's possible in big data. You can also get your head around analytics and the analytics algorithms and the kind of insights that can be drawn from that. The real challenge is how do you articulate what's kind of possible to a client? Because many of the use cases are very niche. And so clients often say, yeah, that's right, but it's possibly bigger than that. Yeah, that's right. It's possibly bigger than that. The other issue or the other challenge to get, we've got to, hurdle, we've got to jump in and articulate this to the businesses. Clients, businesses, think in terms of process. They don't think in terms of data. You don't go talk to a CEO and say, you know, tell us what's the key attributes of your customer. And they don't think that way. They can talk to you about servicing a customer or selling to a customer or managing customer complaints to the processes, but the data, it's a tough thing. So the first part of the services is so crucial in this is being able to articulate the value of analytics and big data to a client in the business's terms. So it becomes a boardroom conversation. So that gets the program started. And then quickly being able to fill in with use cases because clients don't want this to be, they don't want to start from a blank sheet of paper and they don't, like, you know, give me some quick wins here. So it's kind of those things. What kind of timetables? I remember back in the 80s, 90s when client server rolled out.  Now, I mean, obviously, you may be shorter spurts, little different hurdles. What's the timetable on some of these horizons for these quick wins? Okay, so, you know, project implementations. Like tomorrow or the day. But no, let's, no, it's, it's, I think that, that we're measuring project implementations in weeks. I think cloud-based technology allows us to provision environments on the order of a couple of weeks. And that used to be on the order of five to six months. So I think that's gonna, that accelerates everything. And that also allows you to do a lot of, a lot more speed to value, get applications or analytics use cases up there much more rapidly. One, two, as you start to build these portfolio of use cases.  I mean, you can get these use cases up there in six, eight weeks. I mean, we have one, we have one example. A really, a large major company, and I'd rather not, I'd rather not, because it's not externally referenceable, but really a significant client that had on the order of more than, more than five million discrete customers. And doing detailed customer analytics on their customer base against their products. And we were able to get that baby up and running in three and a half months. Now that two to three years ago, traditional logic would have told you that was a nine to 12 month project. And by the way, 10 years ago, that would have been a 18 to 24 month project. So I think that, yeah, we're moving much more rapidly. That's the expectation now too. I mean, the customer's realized that too, right? Absolutely, no, but there's one thing I want to talk about this. It's still, this is the one thing that, if you'd ask me what's most important. The speed thing allows you to go rapidly to places, but you better have a navigation roadmap on where you're going. Because if you're gonna do all kinds of little code drops, that's great, but you wanna make sure you're getting leverage so you're going somewhere. So therefore, this is where road mapping becomes really, really important for every, the technology side of the business. You have to have a technology roadmap. The other thing that's really important out of this is if you don't, let's use a client server example you used, because this kind of has a, we've all been here, right? We've all lived, we've seen this movie before. If you don't build this roadmap, another thing that happens, do you remember when CIOs finally said, okay, I'm taking control of this client server thing? Sure. What did they end up with? They ended up with all these departments of computing and the costs were going astronomical. So if you've got a roadmap, you can also address the issues of managed services because you don't. The least thing you wanna be is having all these data marts that are scattered everywhere because you get no economies, you get no economies that a cloud would bring you, you get no economies of being able to do that, and you end up having to have all these maintenance teams, app maintenance, and by the way, analytics by its nature has constant app maintenance, little adjustments and changes. You're getting no economies of that because they're all managed as discrete units. So therefore, there's a lot to be as you build this roadmap, you've gotta think about the managed services environment as well. So Fred, you talked about earlier, clients don't think in terms of data, they think in terms of their business process. Is that a blind spot for clients? Because there are some companies, Google, for example, that does think in terms of data. In your view, should clients increasingly be thinking in data terms, or does our industry have to evolve to make the data map to business process? I actually, I kind of just take it as a fix. I don't choose to question why, I just accept it. But I would say. Customer's always right. Well, I just think the industry, definitely. But I think just the industry's at a stage where, we've always, back in the old days of, I'm gonna show my age here, but the procedure division and the data division. Oh my God, I hooked that old. And the procedure division is where you actually did all the really, and I think the other reason is, we gotta understand the paradigm under which modern computing was created. I don't wanna be like, we go into history lesson, but the paradigm under which modern computing was created was that we use computers to automate tasks. So we've always taken this procedural approach, which went, then we went to process re-engineering, and that became a boardroom conversation. So just, I think we've conditioned, over the last 40 years, businesses to think about using technology to gain business efficiency, they've always thought in terms of process. So that's why this data element, yeah, companies like Google founded on analytics, clearly have got a whole different headset and a different way to approach these, which gives them a built in bias when they address the problems they've got in their businesses. Sure. But you don't come into clients saying, hey, you gotta rethink the way in which you look at data. You come in and say, let's figure out how we can exploit data in your business. Correct, we do it two ways. We do it two ways. First of all, let me not dress, let me not dress mutton up as lamb. At the end of the day, it's data. It's data, okay? Now the question is how you articulate that. And it's twofold. We tend to, I like to use a metaphor to describe the data. So if it's customer, the metaphor we've been using recently is DNA, DNA strands to be able. So you use a metaphor that there's a language that the business can relate to and you can create a common language very easy. One, and that way you can have a, because you're never gonna drag a CEO into your fourth normal form data model. So therefore you've got to talk a language. One, number two, you talk about it as a collection of use cases. So you use use cases as a vehicle to have the process conversation. And because with the use case you also can talk business outcomes, benefits, and you can tell kind of a story. You don't have to drag them through the details of the process, but you can tell them a story, whether it's, you know, if you can understand call detailed data records and the affinities, you can understand the social networks and therefore you can reduce churn within your telco customer base. As an example, it was a bit quick, but if you follow what I mean. Oh, yeah, I do. So you talk to them about its little use cases and they begin to understand, wow, what's possible. And then you talk about their data as a DNA chain and they get, I got it. I actually need to get the DNA chain if I'm gonna actually think about my customer base or my product base or whatever. Yeah, the lingua franca of the business is still the business's language. It doesn't change as a result of data, but data can enrich the conversation in a way that can lead to new outcomes. The data enriches the conversation when you talk about the business outcomes that are created as the part of the use case. Well, that's like a three, third order differential equation. I'm gonna go back and watch this video.  I just can't type fast enough on the crowd chat. It's good for Twitter viewing. Yeah, I've just opened a Twitter account. Please look me up, I'm looking for friends. I promise to start posting. We got people watching, all right. All right, so in terms of customers, right, give us a little bit peak of some of the customer responses when you open the Kimono, show them the roadmap. The messaging around IBM right now is pretty tight here at IOD, last year was good. This year it's better, real unified. Face to the customer. When you show them the roadmap, what's the feeling they get it? They feel like, okay, I got some trust, IBM's got some track record history. Do they, is the emotion more of, okay, where do I jump in, how do I jump in? They're doing it and there's little shadow IT going on all over the place we know with Amazon out of the area. So when you're in there, you've got to have these hard conversations. What are they like and what's the level of response you get from CIOs and then also the folks in the trenches? So there's always a question, which there's a couple of questions. First of all is how can I get value from this? And that's a, I'm tightly coupled to my existing transaction processing, which is kind of like, if you will, I'll call that turbocharged BI. And which is where so many people have come from, is this turbocharged BI environment. And listen, that's an important part of your reporting business. You need to do that to keep the wheels on. The question is as you move to this notion of analytics giving you great insight, then you've got to say, okay, I need to go from turbocharged BI to really augmented components. So clients, I'd say there's a large group of people that are right now moving from turbocharged BI to the notion of advanced use cases. So there's some, a large discussion right now of how do I show me use cases by which I can rapidly. So that would be advanced out of Linux, is what people call advanced out of Linux? No, we have, well, 60 use cases, industry-based use cases that we as a services business put together. On top of that, we have about seven or eight key code fragments that we use as accelerators. I mean, we call them, I think we call them assets and we just them up as accelerators, but they're code fragments that we bring to a client as the basis that we put on top of the blue stack of technology to actually get them a speed to value, because we really want to be able to get clients up and running within this notion of 1,980 days. It's like literally being best practices in the form of technology to the customers. Well, I mean, you're on an IBM thing.  No, I wouldn't dare call it an application because we're not in that business. But the point is, is that it's starting to feel like an application because it's really moving down these integrated solution is really where we go. So the accelerators code, correct. So it's leverage. The economy of scale is every success breeds. That's exactly it. And then on top of that, we would have, just throw a few other things that we do to accelerate these things. We actually have five, what we call signature solutions, which is services, software together with a piece of services code coming together to solve a problem. We've got that around risk and fraud, around customers. I mean, so some specific, very narrow things. If somebody wants to, you know, because often IT departments, they want to buy something. They want to buy something. They don't want to go down a project. They want to buy something and so fine. Here's a prepackage solution. Let's go buy something. And then last but not least, the one thing we haven't talked much about, but I always like to throw this out there because I think this is one of the things that, and we didn't talk about it much in the maintain or any of our sessions, but let's not forget about IBM research. I'm really proud to report to you now since we started this category. We've done 61st of a kind with IBM research. So this is about, client says, I've got this problem. I think it's unachievable. I cannot solve this problem. Help me map in my oil exploration. Like things that are considered- These are big problems. Big problems.  Let's apply those people to our problems. And we have 60, so we do about 15 to 20 a year. So it's not like we're not cranking these out like on hundreds of thousands of licenses. But it's where basically our services business, our software business and IBM research go work on solving a client specific problem. You heard Tim Buckman this morning when he was asked, you know, why IBM? He said IBM research was the first answer. That's right. He gave, we talked to him about that on theCUBE.  And you know, we always love to hear from customers.  You guys are probably well aware of those guys. They have customers that just say, just glowing reports. You guys have the same set of customers. You know, he is someone of high caliber at the command and control and his health care mission. And he's automating himself. And essentially creating this new data model that allows it to be pushed down through the organization. Listen, you've got to do this and I'll tell you why. You remember the, the governance discussion is, well, I'm most excited about it. The governance discussion five to eight years ago was an arcane discussion of data modelers. And like, what do we do? The governance discussion is quickly moving into the language of our business people. And the reason is because they're beginning to, do you remember the days of accounting systems? When they say, we want our accounting department to focus on analyzing the numbers and not collecting and forming the numbers. Well, we're here again. And if you've got good data governance, you can focus on creating the insights and determining what actions you want from the insights as opposed to questioning the numbers and questioning the validity and the heritage of the numbers. The validity and the heritage of the numbers and this plays everywhere. Yep, financial services companies are the most stressed about it because the validity and heritage is required when you want to prove a compliance to a federal statute. Yes, but it means everywhere. If you're a consumer packaged goods company and you don't believe that sales are down in a certain market or a certain chain store, first thing they do is they start challenging the numbers. If you have good governance, you can now start to, you can now start to trust these systems of record. Let's, let's drill down. We're talking about data quality, data quality, but it's also the, the governance and the definitions. It's a mindset of, it's, we talked about iteration, right? We said the first, you know, the folks from the non-profits said, he didn't want to go on the record, but he's basically saying, I'll say it. Basically when you put stuff out, when you package it, then bring it out, it still might have some flaws in the data quality, but it's the iteration that's the transformation of it, once it's in market, saying that's changing. He thinks prepackaging data and then bringing it in is not the better approach. But I want to ask you about the, what you just said about this governance conversation, that is data, the core of this debate around the data economy. What is the data economy in your mind? Given what you, the history that you've lived through, we've seen those movies now, the cutting edge, new wave that will create new wealth and new ways, change from transform business, all that stuff's great. But what is the data economy? What does that mean to business executives that they're focusing on outcomes? Is it, is it changing data governance? Is it changing the value chains? Is it changing? What's your thoughts on that? The data economy is about discovering those points of leverage that, that the data tells you that your instincts don't. The data tells you that your instincts don't. One of my favorite stories, three years ago, four years ago, we were called in and clients said, this is my problem. The going in problem was I gotta take $200 million out of my advertising spend budget. $200 million out of my advertising spend budget is a retailer. And the problem is, is out of my $600 million advertising budget. The problem I have is, I also have all kinds of interesting theories and models that my agencies have told me. I'm not quite sure, do I just take 200 off the board, across the board, do I take 200 off of the board? To minimize my risk, I'll just spread it around. How do I manage this process? And what we actually did was we built a super, super set of sophisticated analytics which tied to their transaction systems but also tied to their social media systems. So we also understood, and what we did was we were able to understand which customer cohorts responded to which media types. Then we added one more part to the model which is we understood the trending and the cost of free-to-air, cable, radio, internet, all the different media types. And as we looked at the cost models of them and we understood which customer cohorts responded to which media types, we suddenly realized that they were super saturated. I mean, certain media types, they could double their spend and they wouldn't get any lift in their sales. What we did was we got 200 million out of their budget and they got 300 million incremental sales that Christmas season because we helped them get really smart about the, now let me tell you, I tell this privately, media buyers look at me like I'm like a pariah, but it has actually really started to rethink. Now there's just a really great example because I think we've all can relate to that but that's the data economy where you find these veins of gold and these simple correlations and from that simple correlation you can instantly go and your business, you can get the lift. Listen, I can get 5%, I-I-B-M, get 5%, 10% lift in some small segment of my business, I've got the volume, that's gonna make a significant difference to my share. Yeah, one small piece of data could open up a window kind of that Jody Foster would contact where it's like one piece of data opens up a ton of window up of new data. I mean that totally is leverage. Change is the game for that customer. And that to me is the guts of the data economy, identifying those correlations and what we're finding is our most recent study, we just released it here at the thing, the IBM Institute for Business Value, Big Data and Analytics Study, IBM.com, it's the Institute for IBVE study on Big Data, just released and it said 75% of all companies that are outperforming their peers have said Big Data, Analytics is one of the key reasons. And the human component not to put our all on machines, it's really about, it's an art and a science. It's a mix of both the math and the human piece. Well, you know, there's this notion of not only do you create the insight, but you've gotta take action on the insight. You know, it's not enough to know if I actually could predict for you who's gonna win tonight's basketball game. You still gotta place the bet. You still have to take action on the insight. And so therefore, this notion of action to insight is all about trust. Trust in the insight, trust in the data and trust in the technology that the business trusts the technology. And it's until you take that leap of faith. Remember one of the Indiana Jones movie when he like the leap of faith and you've gotta like step out and take that leap of faith. Once you take that leap of faith and you suddenly have trust in the data. So that's that trust dimension. And that's a human thing. That's not a, that's not a, that's an organizational thing. That is not, not a lot of technology in that one. Okay Fred, we gotta wrap up. I'll give you the final word for the folks out there. Quickly put a bumper sticker on IOD this year. So put on my car and I drive home. What's that bumper sticker say for this year? It's not all about the technology but it starts with the technology. Okay, we're here live in Las Vegas. We're going to take up on that bet for those who's going to win the game tonight. We'll be in the sports book later. This is theCUBE live in Las Vegas for information on demand, hashtag IBM IOD. This is theCUBE. We'll be right back with our next guest after this short break. Exclusive coverage from information on demand IBM's premier conference. We'll be right back.


Exploded So Drew's gonna fly the wing right now. This is gonna go great It is a comfort And I'm thinking about going for the garage, we're just gonna feel it out doing something. Oh Oh, I just saw you that was so cool. That was so cool What's that? You got wings? I'm stuck. Man, I got my stick Here it comes, are you gonna catch it? I got it. I literally hit my nuts I gotta admit this is harder than I thought part of it is because our wings We really should be flying like slightly better wings. These are fine But like they're not very stable and is a bit windy out here today And with with wings, it's different than quads because Wings get really bounced around in the wind where a quad does unless it's really strong And so it makes it very very hard to control if I could just get through the garage now You're just gonna have to pull straight out. I will be oh, yeah, I'm gonna go full throttle vertical Formation through the garage and if we can pull that off that was awesome. Yeah


Area law enforcement is asking for the public's help in locating a missing 26 year old Bemidji woman. Chelsea Ari Anita Batchelder was last seen on Thursday June 22nd at her residence located on the 1200 block of Little Norway Avenue southeast in Bemidji Township. Batchelder is described as a 5'4", 117 pound female with brown hair and brown eyes. She also has a tattoo on her left wrist and left foot. Now if you have any information on Batchelder's whereabouts, you are asked to contact the Bemidji Police Department at<PHONE_NUMBER>. If you've enjoyed this segment of Lakeland News, please consider making a tax-deductible contribution to Lakeland Public Television.


Hi and welcome to the session. Let us discuss the following question. Question says 12 defective pens are accidentally mixed with 132 good pens. It is not possible to just look at a pen and tell whether or not it is defective. One pen is taken out at random from this lot. Determine the probability that the pen taken out is a good one. First of all, let us understand that probability of an event E is equal to number of outcomes favorable to event E upon total number of possible outcomes. This is the key idea to solve the given question. Let us now start with the solution. Now we know 12 defective pens are accidentally mixed with 132 good pens. So total number of pens is equal to 12 plus 132. That is 144. Now one pen out of these 144 pens can be drawn in 144 ways. So total number of possible outcomes is equal to 144. We have given that there are 132 good pens. So we can write number of good pens is equal to 132. Now each of the good pen can be drawn in 132 ways. So we get number of outcomes favorable to good pen is equal to 132. We have some key idea. We know probability of an event E is equal to number of outcomes favorable to E upon total number of possible outcomes. Here we have to find the probability of the event that pen taken out is a good pen. So probability that pen taken out is a good one is equal to number of outcomes favorable to good pen upon total number of possible outcomes. Now we know number of outcomes favorable to good pen is equal to 132 and total number of possible outcomes is equal to 144. So we get probability that pen taken out is a good one is equal to 132 upon 144. Now we will cancel common factor 12 from numerator and denominator both and we get probability that pen taken out is a good one is equal to 11 upon 12. So this is our required probability. This completes the session. Have you understood the solution? Take care and have a nice day.


Welcome to a new week of the rundown. On this episode, the Navy is beta testing a new personal web portal. Seals of surface ships can offer warped room spots to mid-shipmen. The command center chief and master chief selection board results are out. The Navy is beta testing a new personal web portal system designed to become a one-stop shop for sailors to access their personal information. It's called My Navy Portal, and it's intended to give sailors access to several personal training and education websites. The initial release will allow sailors to access files on Prims, OMPF, NKO, the Navy Advancement Center, Navy Cool, and more. The beta test is designed to improve the functionality of the website before it is released Navy-wide. Those chosen to be beta testers will be notified by email, but fleet users not designated as beta testers are still encouraged to use the site's feedback option to provide comments and recommendations for improving the portal. To view the My Navy Portal homepage, visit my.navy.mil. You can get more information on My Navy Portal by reading our story on navy.mil. For the first time, Seals of surface ships were able to offer a spot in their warped room to graduating NROTC midshipmen. With the initiative, a CO who was impressed with the midshipmen during their summer cruise can handpick the midshipmen to join their crew after graduation. Commander Tim LeBens, commanding officer of the guided missile destroyer USS Sampson was able to select midshipmen first class Austin Hyde. Commander LeBens said the new initiative is spot on, and he encourages every command to take advantage of the opportunity. You can read more of the story on navy.mil. Finally, congrats to those selected for command see your chief and command master chief. The full list of those selected can be read in navadmin 033-17 on NPC's webpage. Well, that's all for this week. For any questions, send us a message at usnpeople.fct at navy.mil. For the Chief Naval Personnel, I'm MC2 L.J. Brilson. Thanks for watching.


What is a win like this to see you guys close it out close it out down the stretch say about this team and what you guys can do. I mean it's just a game of runs I like how we stay with it the resiliency that we show we down double digits a couple times it was up and then we let them come back twice you know so it was up and down game and we just kept fighting and guys had big shots and down the stretch. Kevin earlier this year Raptors rookie Christian Cloak said that he wore 35 an honor of you and you're his favorite player growing up. What does it mean to have a player. You know where that number in your honor. He said that he said that earlier this season right when he was drafted. How old is he. Twenty one maybe. I just shows that I'm getting old every time I hear stuff like that I'm like. All right. You watch me grow. I mean you watch me as you was growing up. I mean I just feel old but I mean I always appreciate stuff like that. I mean you never know who's watching when you're out there doing your thing and you want to inspire and ignite whoever's watching in some way some shape or form. So it's always cool hearing stuff like that and seeing where my shoes tonight and 35 so that's pretty cool. Kevin you guys are obviously still trying to figure it out offensively but Toronto historically has a pretty tough defense to play against what does it mean to just test your defense to test your offense against first the Pelicans and now the Raptors. Yeah it's good man teams are going to scheme us and you know basically play playoff type defense against us because they know we can score the ball especially Kyrie and myself we can score from all three levels so they got to be a little bit more creative defensively and I feel like every team in the league is going to do that. What they usually do on defense is going to go out the window when they play us. So we just got to be ready for anything. This team throw a 2 3 1 3 1 a press boxing one. So it was good. We was able to handle all that stuff and make plays and they made some big shots down the stretch. I thought that was good defense but they made big shots. And you know so I felt like we had the game under control but you got to get them credit for knocking down shots being a championship organization. I think you started over 5 and then you finished 6 of 8. Just what happened to spur that. I got to start off better. I think the first last two games. I take 3s to start the game. That's not my game. I mean especially the first shot I took was over a hand the first two games. So and then you know fighting uphill after that you know I was trying to find a good look.  Thank you too much out there to start the game. Just got to settle in and that's what I usually do after that first quarter. So you know it's a journey and I'm I definitely don't want to keep starting off like that and having to you know fight my way back until you know 45 to 50 percent. So and I figured out Kevin you've been here as long as Nick. So maybe you've seen some of what we saw tonight in open gym or whatever. But it looked like the player was in college. What are those wrinkles due to your offense with him. You know the Euro step driving downhill tacking the basket etc. Yeah I mean he had all of that stuff when he got here. He's just been more confident in using it. Coach trust him his teammates trust him so he won't go out there and do a thing and sometimes you don't want to showcase all your skills early on because you don't know how to fit in towards the team but I think he's comfortable now. You know we need him to be more and more aggressive. You know three of eight from the free throw line. I would love to see him be 6 8 7 8. You know I think he has that in him. You know so you see the progression and Nick and we're going to need him to continue that going forward. Kevin you were confident after the other night that Ben would get going at some point. What do you think was the difference for him tonight compared to the opener. Yeah he just got downhill. Did we just play free. Thank you much. I think we're all anxious to start playing start the season last game. So you've seen that kind of we had a better start to the game this this game. So I think everybody was just a little bit more relaxed and free and you know he impacted the game as much as he could tonight. 10 rebounds eight assists two blocks. You know getting his hands on basketball so you know we need that from everybody but I think we're all we're a little relaxed even in coaches.