Now, that we have derived the equations for Kalman filter namely the forecast equation, the forecast mean, the forecast covariance, observation, the analysis step, the analysis mean and the analysis covariance. In this case the system is linear, the noise is Gaussian therefore the forecast is a Gaussian random variable. The observations have Gaussian distribution, analysis have a Gaussian distribution as we had observed several times in the previous lectures that Gaussian distribution is the only one that is decided uniquely by the mean and the covariance. So, if I compute the analysis covariance and the analysis mean I essentially characterize the entire probability distribution. Against this now I am going to describe couple of simple example to illustrate the dynamics. First I am going to talk about scalar dynamics with no observation that means this is called stochastic dynamics. So, let A be a scalar positive, WK be a scalar Gaussian random variable with mean 0 and variance Q, Q is the variance and X naught is M naught P naught. So, P naught in this case is a scalar, P naught is a scalar. The dynamics is given by a simple scalar linear dynamics XK is equal to A times XK minus 1 plus WK. So, we have talked about the value of A WK X naught the solution for this linear occurrence can be given by this I would like you to verify the correctness of this equation by substituting back into the by using the method of substitution that is the best way to describe it. So, from here we get this solution. Now I can take the mean of both sides please remember the mean of WJ is 0 and WJs are temporarily uncorrelated. Therefore, if I took the mean the second term does not contribute anything the mean of the state at time K is 8 to the power of K M naught. The variance of the state XK at time K is PK that is equal to variance of X A times XK minus 1 plus WK. If you multiply a random variable by a constant you multiply the covariance by the square of the constant variance of the sum is the sum of the variance since the two quantities are not correlated. Therefore, the variance of the state at time K is given by this and this XK is essentially the forecast because I am simply using the model. So, it to the power of K MK is the mean of the model forecast the A square PK minus 1 plus Q is the variance associated with the model forecast. Please understand this variance has two components one coming from the initial covariance the distribution of the initial condition second coming from the model noise. This is the scalar analog of the vector forecast covariance we have already derived within the Kalman's within the Kalman's framework.  So, for a given M naught P naught and Q what is M naught the mean of the initial condition P naught is the covariance of the initial condition Q is the variance of the observation I am sorry is the variance of the model noise. I would like to be able to now analyze the behavior of all the moments what are the moments the first moment and the second moment of the forecast that simply depends on A now that simply depends on A because all the other factors are fixed for a given M naught P naught and Q the behavior of the forecast moments the first moment and second moment depend only on A when A is less than or equal in the region A greater than 0 less than or equal to 1 the model is stable what do you what do you mean by the model is stable the model solution without the model solution does not explode to infinity in fact it can be shown from the solution of the model equation in the previous step XK is equal to A to the power of X naught plus that we can readily verify that limit XK as K cones is 0 then P K when the limit of P K is also given by that. So, the limit of XK is given by this the limit of P K is given by this and I would like to be able to tell you that this essentially comes from the first equation I would like to call it star which I would like to call it star. So, if this is star if this is double star in the next equation both of this comes from star and double star. Now if A is less than if A is finite but greater than 1 the model is unstable that the complementary part the model is unstable the limit of XK goes to infinity the limit of P K also goes to infinity then A is equal to 1 the model defines a random walk. So, in this case XK plus 1 is equal to XK plus WK plus 1. So, it executes a random walk on the real line in this case XK is equal to X naught plus WK WK is the sum of all the noise. So, E of XK is M naught P K the variance of XK P K is equal to P naught plus K Q. Now you can see even when A is equal to 1 while the mean remains the same its covariance increases linearly as P naught plus K times Q. So, this is simply the analysis of the behavior of the solution of the stochastic linear dynamics given by XK plus 1 is equal to A times XK plus WK plus 1. Now I would like to bring in the data into the picture and that brings I continue the same example I am now going to talk about Kalman filtering. So, without data I simply make predictions with model alone we talked about forecast mean forecast covariance we analyze how the forecast covariance varies for different regimes when A is positive in between 0 and 1 when A is positive and greater than 1 when A is equal to 1. So, we divided the range of values the parameters into three sub regions one stable another unstable another corresponds to random walk in two of the three cases when A greater than 1 or A is equal to 1 we see that the variance go to infinity the random walk model is very interesting and we may have occasion to talk about it later XK so now let us continue XK plus 1 is equal to XWK plus 1 WK plus 1 is again the noise with 0 mean and variance Q ZK is equal to H times XK plus VK H is a scalar VK is a scalar VK is 0 mean is a Gaussian random variable with a 0 mean and and and variance R now I have to distinguish between forecast and the analysis therefore forecast state is equal to A times the analysis of time K in other words I am going from time K to time K plus 1 this transition is what we are talking about earlier we talked about the transition from K minus 1 to K absolutely there is no difference except for the values of the indices so PK plus 1 F is the forecast covariance at time K plus 1 is equal to A square times the analysis covariance at time K plus Q the analysis itself is given by the forecast plus Kalman gain times ZK minus HK HKF the Kalman gain is given by this formula which can be simplified as which can be simplified as PK hat H R inverse and then the analysis covariance is given by this expression PKF minus something I am trying to subtract a positive quantity from PKF therefore the analysis covariance becomes less so PKF R so analysis covariance is equal to forecast covariance times R divided by H square times PKF plus R inverse so this is the very simple expression for the analysis covariance as a function of K all these things all these things arise from the derivation of the Kalman filter except that we have substituted the corresponding formula so now given I have the equations for the analysis analysis covariance forecast forecast covariance I can now talk about the stability of the analysis part in order to understand the stability the analysis part in other words what do I want to find does the analysis go to infinity as time goes to infinity does the analysis comes down to 0 what happens to the analysis error what happened to the forecast error as a function of the model parameter these are some of the things that we would like to be able to understand to analyze the stability of the filter so in this case forecast is given by the forecast at time K plus what is equal to 8 times 1 minus KKH KKH XKF plus 8 times KKZF ZK the analysis at time K is given by this I would like you to go back to what we are doing look at this now I can substitute the in this equation how do I get this I can substitute the analysis expression into the forecast expression that is exact I can also substitute the forecast expression into the analysis expression so that analysis at time K plus 1 can be expressed in terms of forecast at time K I am sorry analysis at time K that means I can get a recurrence in the analysis analysis value at time K and K plus 1 I can also get the forecast expressions connecting the forecast at time K plus 1 to forecast at time K that is the important part of the recurrence in here analysis depends on forecast forecast depends on analysis by mutually substituting each other I can express forecast depend on forecast analysis depend on analysis at time K plus 1 to time K that is the recurrence we are talking about so by substituting this I get one recurrence for the forecast the one recurrence for the analysis so if I have a forecast I can compute the forecast error if I have analysis I can compute the analysis error we have already seen the forecast is equal to forecast minus the state given by the model analysis again analysis error can again be computed as we have already seen how to handle the analysis error forecast errors I also have the expression for the forecast covariance in terms of analysis covariance and this case covariance is essentially the variance the forecast variance is a square times the analysis variance plus Q here again the analysis variance depends on the forecast variance again I can substitute each other I can substitute this in here I can substitute this in here I can then relate forecast at time K plus 1 to forecast at time K analysis time K plus 1 to analysis at time K if you do that the example continues now after that substitution I get this equation yes you can see this is heavily there is a lot of heavy algebra now divide both sides by R if I divide both sides by R I get this relation so what does it tell you this tells you forecast covariance at time K plus 1 is related to the forecast covariance at time K now look at the expression that I have saw the forecast covariance occurs both in the numerator and the denominator so this is the non-linear recurrence relation this is a non-linear recurrence relation therefore I am now going to change the notation I am going to define pK is equal to pK f by R if I did this this one in view of this one you get this relation where alpha is the ratio of Q over R this is an interesting ratio what is Q Q is the variance of the model noise or the variance of the observation noise so the ratio of the two devices is alpha so if you look at this normalized forecast covariance see that is what I want to emphasize in this is the dynamics of evolution of the normalized forecast variance what is the normalization I have normalized this with respect to the variance of the observation I have normalized this with variance of the observation so if you look at this relation you can see A is a constant pK plus 1 depends on pK H is again a constant alpha is the ratio so you dip this expression on the right hand side depends only on A H and alpha this type of recurrence relation in mathematics in the theory of difference equations has come to be called Raccati equation it is the first order equation why this is the first order equation K plus 1 depends on K it is scalar because we are concerned with only with the radian variances is non-linear obviously because the right hand side depends on pK in the both in the numerator as well as the denominator therefore it is the first order non-linear scalar recurrence the particular structure has been around for a long time it is due to Raccati an Italian mathematician there is a Raccati equation both in ordinary differential equation as well as in difference equation here we are concerned with the difference equation analog of the Raccati equation this equation is not easy to solve because it is non-linear so now I am going to talk about the asymptotic properties of the forecast covariance so let us see how we got here once more I substituted the the quantities because forecast depends on analysis analysis depends on forecast I mutually substituted them and made forecast dependent on forecast analysis dependent analysis likewise we did for the covariances as well once we did the covariances I am now trying to single out the forecast covariance I normalize the forecast covariance by the updurational covariance R and rewrote the equation that resulted in a normalized forecast covariance dynamics which is a difference equation it is a first order scalar non-linear difference equation now I am going to look at the asymptotic properties of this first order non-linear scalar equation why what is the aim the aim is the following I would like to be able to understand the regimes excuse me namely does the under what condition does the covariance grow under what condition the covariance the forecast covariance died out that relates to analysis stability of the forecast covariance now once I analyze the stability of the forecast covariance the corresponding properties of the analysis covariance follow immediately because forecast covariance depends on analysis covariance analysis covariance depends on forecast covariance so behavior of one asymptotic behavior of one will imply the asymptotic behavior of the other so to that end I am now going to assume h is 1 without loss of generality what if h is just a parameter that relates to converting the state into the observation so please remember zk is equal to h of xk plus vk in this case I am assuming h is equal to 1 I am assuming h is equal to 1 so in that case my equation now becomes simpler like this a square pk divided by pk plus 1 plus alpha I would like to be able to understand the behavior the long term behavior of this equation this important equation star here in order to understand the long term behavior of this what do I do I am trying to look at the increment pk plus 1 minus pk that means how much pk plus 1 differs from pk at the kth step if I substituted pk plus 1 in terms of pk and did the algebra I get this relation I get this relation which can be now written as a ratio of a polynomial divided by pk plus 1 the polynomial in pk is given by the expression of the numerator which we can readily identify yes if you are trying to read through there is ton of algebra and I think the only way to be able to do it is to be able to hit all the major developments and that is what I am trying to do leaving behind the details of the derivation of the algebra to the reader. So when when does this recurrence relation on pk converges that means pk plus 1 is equal to pk is the condition for convergence pk plus 1 is equal to pk is the condition for convergence at which time lambda delta k is 0 at which time delta k is 0 delta k is the equilibrium if delta k is 0 then g of pk must be 0. So now you can see how we have changed the variable from pk to delta k express delta k as a ratio of two polynomials in the normalized forecast covariance pk we have already now identified delta k being 0 is an equilibrium point at which k is pk plus 1 is equal to pk that means pk does not change it has come to a stable value because delta k is the ratio of two polynomials in pk the numerator polynomial must be 0 for delta k to 0 and that is where we are. So this calls for analyzing the behavior of the solution of the numerator polynomial the numerator polynomial is equated to 0 it is rewritten it can be rewritten by changing the variables. So I am going to concoct a new variable beta, beta is equal to a square plus alpha minus 1 please understand a is the model parameter alpha is the ratio of the two variances model noise to observation noise. So I can concoct a new symbol beta to this term. So if I did that my polynomial becomes this this is a second order polynomial in pk I can now apply the standard rule for finding the roots of the second order polynomial there are two roots p superstar and p sub star these expressions are now dependent on only beta and alpha please recall beta depends on a and alpha. So I have a numerator polynomial g of alpha which is a quadratic I have solved it. So I now know the value of the equilibrium at which point the four casco variance will settle down there are two equilibria p superstar and p sub star now we would like to be able to understand the behavior of the solution around these two equilibria to see whether the slope of it is increasing or decreasing such as it is like this or it is like this this corresponds to this corresponds unstable this corresponds to stable why this corresponds to stable if I am here this is this is pk pk plus 1 is smaller if I am here this is pk so from here it pushes here from here it pushes here. However if I am here the in this case if I am here it grows bigger if I am here it grows bigger so it goes away and it goes away therefore this is unstable that is stable stable means if I am to the left of it it pushes to the right if I am to the right of it it pushes to the left that means the stable equilibrium is an attractor in the neighborhood an unstable equilibrium is a repeller if I am to the right I move to the right if I am to the left I move to the left so this is the repell here attractor. So to be able to see something is a repeller on attractor we have to get the slope of g of alpha I am sorry g of pk in the at the point where the equilibrium occurs where the equilibrium occurs therefore the general expression for the gradient of g g prime of pk is minus 2 pk plus beta now we are going to evaluate by setting pk is equal to p super star super star is the star is a super script in this case the derivative is negative. So please understand here the derivative is negative here the derivative is positive so the derivative negative corresponds to an attractor the derivative positive corresponds to a repeller so you can readily identify this is p star this is p sub star so p sub star is unstable p star is stable so we need to consider only again I want to reemphasize one is an attract one is a attractor another is a repeller stable and stable therefore in the limit pk will go into the attractor when pk goes into the attractor at the attractor p star is equal to a star a square p star divided by 1 plus p star plus alpha. So you can readily see this must be the expression for the forecast normalized forecast covariance at the point at the equilibrium at the equilibrium you can you can solve this equation for p star and you can get the exact value I would like to now give strongly recommend that you plot g of pk versus pk you know g of pk is a very simple expression and also would like you to plot delta k versus pk and verify all the claims that we have thus far I think these are very important exercises to understand thoroughly the long term behavior of the forecast covariance when the model is scalar when the model is scalar. Now you can see the p star and p super star and p sub star depend on beta beta and alpha beta depends on a so you can find the regions in the parameter space that gives rise to stable behavior that gives rise to unstable behavior I hope I hope that is very clear so what does this tell you again I want to reemphasize this this to essentially tells you that no matter where you start pk plus 1 will come and settle at this point depending on the values depending on the values of a alpha and so on. So using MATLAB I would like you to be able to verify all these conclusions and that is an important part that is an important part of the of the analysis that is an important part of the understanding of the Kalman filter dynamics. Once I know it converges I think it makes sense to ask yourself the question how fast does it converge that relates to rate of convergence this is not the first time we are talking about rate of convergence we are talked about rate of convergence when we talked about gradient methods and especially when iterative methods like gradient method so in any iterative algorithm there are two questions one should ask does it converge if it does at what rate. So we are going to quickly indulge in the in the calculation for the rate of convergence let yk be equal to pk minus p star so what is pk minus p star pk is the current value of the normalized work as covariance p star is the asymptotic value at the stable equilibrium so I would like to be able to measure the difference between where I am and where I will hit sooner or later so I also know the equation for pk plus 1 so we would like to be able to compute the rate at which we would like to be able to compute the rate at which we converge so yk plus 1 is equal to pk plus 1 minus p star so I am going to substitute pk plus 1 p star simplify use the relation yk this is this must be pk sorry p sub k pk minus p star is yk this is also pk sorry this is also pk p sub k p sub k so if you this is also p sub kms so if you can now see we have already gotten an expression for yk plus 1 relating to yk and what is yk yk is essentially the difference between pk and p star. So if I consider 1 over yk plus 1 that is given by this expression so this expression is essentially coming from here which I can rewrite like this again this is yk sorry y sub k now I can I can I can rewrite this expression as a sum of these two terms again a little algebra will give you so 1 over yk plus 1 is equal to 1 over yk times a constant plus another constant so I am getting a recurrence for 1 over yk plus 1 so please go through the algebra now yk is the distance between pk and p star I am trying to express yk plus 1 which is the distance between pk plus 1 and p star in terms of yk so I am trying to get a recurrence in yk instead of trying to get a recurrence in yk I can equivalently get a recurrence in 1 over yk why we would like to be able to consider a quantity which is easy to analyse that is all what the matter here is. Now I am going to change the variable once more you can see how many different ways in which we can look at it so 1 over yk is zk that essentially tells you the previous equation at the bottom of slide 30 now becomes a linear equation the linear equation is given by zk plus 1 is equal to c times zk plus b where c is a constant and b is a constant that is the k so let us go over this quickly once more I have here a Carti equation I am going to change the variable for the Carti equation I have a Carti equation for pk now I have a Carti equation I have a corresponding nonlinear equation for yk plus 1 while I have defined yk I am trying to rewrite it as a recurrence in 1 over yk it turns out the Riccati equation after making these transformation these two transformation namely yk is equal to pk plus 1 minus p star 1 over yk is equal to zk the Riccati equation becomes linear linear equation can be very easily solved I can iterate the linear equation so this is the solution for the linear equation which can be like this so zk is given by this expression that is an important expression so 1 over zk is yk yk is equal to 1 over zk defined by this so let us not worry about this part in this equation b divided by c minus 1 is a constant even so when c is greater than 0 and c is I am sorry when c is greater than 1 I am sorry when c is greater than 1 ck to the power c to the power k goes to infinity therefore yk will tend to 0 yk tend to 0 so you can readily see that this expression is equal to c to the power minus k times a constant therefore when c is greater than 1 this yk tends to 0 at exponential rate I think that is the importance of this so c is equal to 1 plus p star by a whole square and that must be greater than 1 so under under under the condition that c is greater than 1 which in turn relates to 1 plus p star divided by 2 square if greater than 1 we can really see yk converges at an exponential rate so this is an exponential convergence that is an important that is an important conclusion so what what is that we have accomplished we have accomplished the following by converting a sequence by converting the Rackard equation to a sequence through a sequence of transformation we converted it a non-linear equation to a linear equation which we then solved and found conditions under which this linear equation solution to which go to go to infinity which in turn means zk goes to infinity zk goes to infinity when c is greater than 1 when zk goes to infinity when c greater than 1 yk tends to 0 now please realize why the definition of yk the definition of yk is pk minus p star yk refers to the distance between the current value the forecast covariance with asymptotic value so that distance goes to 0 at an exponential rate and this gives you values of the parameters under which the colvin filter forecast covariance not only converges but also converges at a exponential rate excuse me the rate of convergence continues once we have again we have assumed h is equal to 1 once we have the convergence of pk we can now conclude the convergence of pk hat which is the analysis covariance the expression for pk hat divided by R is given by this equation if you took the limit of this pk hat tends to a particular limit because pk f tends to a particular limit and this is the limit of the analysis covariance so analysis covariance converges with forecast covariance they work in locked step now I am going to go back to the analysis of what is called stability of the filter stability of the filter h is 1 this is the forecast covariance sorry this is the forecast covariance I am sorry I say forecast covariance that is wrong this is the forecast error the forecast error can be simplified to be this the forecast error recurrence has two parts the homogeneous part and the forcing part the homogeneous part is given in the following the forcing part consists of two error terms akk kvk plus wk plus 1 so this is the stochastic part this is the deterministic part the deterministic part is also the homogeneous part because this is the forcing please recall kk the Kalman gain is given by this so from here I am going to get 1 minus kk as this so the Kalman gain kk is given by this formula which is pk divided by pk plus 1 from that you can really infer 1 minus kk is equal to 1 over pk plus 1 substituting these and simplifying it can be verified that the e bar f of k plus 1 is given by this recurrence substituting the value of p star it can be verified that e bar fk plus 1 is equal to 1 over square root of c times e bar fk since c is greater than 1 1 over square root of c is less than 1 that means in going from time k to time k plus 1 the error reduces therefore if you compute the error ek bar f with respect to the state at time capital N ek bar f is given by 1 over square root of c to the power k minus n times e bar f by n so n is can be thought of as a starting time since 1 over square root of n 1 over square root of c is less than 1 as k goes to infinity the term 1 over square root of c to the power k minus n tends to 0 therefore the overall error goes to 0 this in turn means the filter is stable so we have analyzed all the properties of the Kalman filter and have illustrated the derivation as well as the nuances with respect to several properties of the Kalman filter equation using a simple static linear dynamics thank you.


Happy Vogan, Consortium News. Ask her anything on Assange. I'm going to ask you all a question first.  No! What we have essentially is an organization that is called itself essentially an intelligence agency that isn't trying to inform the people of the world and has said that they want to hack to bring that information out and to publish it. What I've been covering for Consortium News, I've been in the courtroom for three years if you count the pre-trial meetings and I have mainly covered the forensics. I mean that's been covering just about everything but that's been my area that other journalists haven't covered. Now I can tell you that the forensic examiner completely destroyed the narrative that the US put forward in terms of trying to insinuate that Julian Assange had conspired to hack and obtain classified material. Now do you know why they have to do that? Because in 2010 Joe Biden was asked, when he was Vice President, is Julian Assange going to be charged? And his first three words were, if he conspired to get these classified documents with a member of the US military that's fundamentally different than if somebody drops on your lap here David, your press person, here is classified material. If he conspired to obtain the information, please go to Consortium News, my article that details all of this, it also deals with how Ziggy, the so-called hacker, was dispensed with as well. So there is nothing, nothing now for the US to hold on to with this keystone charge, the first one, the one that everybody thinks isn't important. That's the most important one because if we can knock that one on the head then he's just like any other journalist that had the material dropped in his lap and those were Joe Biden's last words. It's different if you conspire to get the material than if it's just dropped on your lap. And of course it has been shown that that's what happened. So rather than talk about forensics for five minutes, I'm actually going to appeal to the head and the heart. So this is a song that I wrote, the three people that have two things in common. So those three people are Julian Assange, Chelsea Manning and Aaron Schwartz. And it's almost Aaron Schwartz's day. Poor boy was facing 37 years, all three have in common that they gave the world information. You might not know Aaron so well, but he helped distribute the Pacer Library, all of the legal cases that cost the fortune. So people couldn't research for their defense without having to pay a lot of money. He was also very concerned about an uneven distribution of knowledge by JSTOR from MIT. And he felt that doctors in third world countries couldn't afford to read the latest papers on medicine. But anyway, so he suicided when he was 26 years old. Chelsea Manning tried to suicide twice and almost succeeded. And the magistrate said, we will not extradite Julian because he will suicide. And that was on the basis of all the medical expert advice. All of them agreed more or less that Julian was a moderate or high suicide risk. So that sadly they had those things in common as well. So I will just give me a moment and I'll start with company. Can you hold the phone for me? Oh, I'd like you to sing along and there'll be a moment where there's an opportunity for a slow hand clap. I think you might hear it coming. Julian tried to help us. Showed us how powerful by the crowd. It takes time to help us. So, Julian, that fortune she can taste that. It sure is tough to say. Ray Julian Assange.


This study investigates whether SARS-CoV-2 is present in the blood of COVID-19 infected patients, potentially explaining why the virus spreads to the heart. The researchers developed a cell-free test that can detect OFF3A e-channel activity of SARS-CoV-2 in blood samples from COVID-19 infected individuals, confirming a hypothesis that the virus spreads to the heart via blood circulation. This article was authored by Hangang Yu, Gina Sizemore, Petey Smoot, and others.


The Kiran Clinic is a successful model for providing primary health care services to rural communities. The key factors contributing to its success include voluntary participation by the community, regular dialogue between the community and the committee, capacity building of committee members, transparency in work and quality monitoring, and responsiveness to health needs. This article was authored by V.A. Bhagat, A.V. Raut, S.S. Gupta and others.


Gun smoke. Brought to you by Chesterfield. Chesterfield packs more pleasure because it's more perfectly packed thanks to Accu-ray. They satisfy the most. Around Dodge City and in the territory on west, there's just one way to handle the killers and the spoilers, and that's with a U.S. Marshal and the smell of gun smoke. Gun smoke, starring William Conrad. The transcribed story of the violence that moved west with young America, and the story of a man who moved with it. I'm that man, Matt Dullin, United States Marshal. The first man they look for and the last they want to meet. It's a chancey job, and it makes a man watchful, and a little lonely. Every man who comes to Dodge doesn't spell trouble, but sometimes a stranger rides in who to my eye has it written all over it. This one I first noticed walking slowly up and down the plaza, taking every detail in of the buildings, of the crowd, of the street. You might have thought he was figuring to buy the place, but after two days of his walk-in and sitting and watching, I decided that maybe that wasn't exactly what he had in mind. You're looking for somebody, mister? You've been in Dodge long enough, stranger. You know who I am. You're Marshal Dillon. If there's anything about this town you haven't found out, maybe I can help you. This is the first civilization I've seen in months, Marshal. Just trying to get used to it again. By the way, my name is Cole Yankton. Well, it ain't no summer name, Marshal, if that's what you think. What do you do that keeps you away from civilization, Yankton? Oh, I've been horse-trading, brown among the settlers, a few peaceful Indians. Uh-huh. But you're done with that now. I sold what I had. Come out pretty good, too. And most men who come here with a steak-spended gambler, I haven't seen you near a saloon yet. I'll look them over later. You aiming to stay here long? I come here to take the Santa Fe to Wichita, Marshal. Well, it goes every day. You got something against me? No, not yet. You just being a lawman, you gotta be suspicious of everybody, don't you? Not everybody. There's nothing wrong with me, Marshal. Don't you worry about things? I want, Yankton. Good. I'm gonna let you do the worrying. I figured the saloon's about to go broke. Oh, why's that, Kitty? Well, they've almost stopped the water in the whiskey. Oh? I swear they're pouring at least half and a half these days. Ah, Kitty, Sam's gotta make it last, you know? One barrel for the whole winter? Well, the less people drink, the less trouble they make for me. Ah, that's been selfish. Ah. I wondered how long he'd hold, huh? Who you talking about? Now, the man at the door over there. He's been in town two days, and it's the first time I know he's come into a saloon. Kitty, what's the matter? Nothing, Matt. Nothing. Now, you're staring at him like he was a ghost or something? A ghost. Well, what is it, Kitty? Do you know him? Call Yankton. Well, who is he? Well, what do you know about him? He's coming over here. Excuse me, Matt. No, wait a minute, Kitty. What? Evening, Marshall. How about Yankton? Your girl took off. Uh-huh. She's going out the back door. She's really leaving. Yeah, it looks that way. Now, why'd she do that, Marshall? I wouldn't know, Yankton. You ain't even curious? I don't figure it's any of my business. Maybe you're right, Marshall. Maybe it ain't. Like I said, Yankton, you worry about it. Good night. Good night, Marshall. Introducing one of the country's best-known jazz musicians and arrangers, Mr. Bobby Haggart. How about whistling along with him? Packs more pleasure. Packs more pleasure. Chesterfield packs more pleasure because Chesterfield's more perfectly packed. The more perfectly packed your cigarette, the more taste and mildness are released for you. Chesterfield, made by exclusive Accu-Ray, has an open, easy draw that unlocks all the pleasure of fine tobaccos. Now, Accu-Ray ensures an even distribution of tobacco from one end of your Chesterfield to the other. Chesterfield is firm and pleasing to the lips, mild, yet deeply satisfying. Chesterfield packs more pleasure because Chesterfield's more perfectly packed. To the touch, to the taste, Chesterfield packs more pleasure because it's more perfectly packed by Chesterfield, mild, yet they satisfy the most. Look at him, Chester. Sitting there half asleep in the sun and crime is being committed all over town. Whitters are being robbed. Old men are getting the throats cut.  My golly doc, he don't look none too lively.  I'll end your mind.  We'd better do it too, Chester. It'll make him look less conspicuous. This is one part of my job, I take pleasure in, doc. You know something, I wouldn't hire either one at you to drive a tent vague and quick, son. Don't answer him, Chester. That's his bad conscience talking. Doc, did you ever hear of a man with a little thinking once in a while? Oh, he's thinking. And what would you be thinking so hard about, Marshal? I'ma tell you, doc. Cole Yankton over there. Huh? That's him standing right across the street. Where? Oh, yes, yes, I know. I saw him this morning. This morning? Where? In the plaza. He was asking where he could find Kitty. Said he wanted to talk to her. Chester, why shouldn't he be talking to Kitty? Well, no reason, I guess. You don't fool me, madman. You're wondering why as much as everybody else. Kitty knows lots of people, doc. Oh, yes. People like Cole Yankton. Outlaws. Look, there's Miss Kitty. She's got to run right into him. Can you stop me? I guess he's going to get to talk to her all right. But he isn't, Chester. He's just kind of smiling at her. Well, that sure didn't last long. Where is he going now? He's taking his horse. Looks like he's leaving town, Matt. Yandere goes. Well, that's good riddance. You can forget about him, Matt. Yeah, maybe. Why don't you ask Miss Kitty about him, Mr. Dillon? You said you was having supper with her tonight, didn't you? Yeah, that's right, Chester. I'm having supper with her. You like the enchiladas, Matt? Well, I'd like them better if I knew what they were using for meat, carry on. Haven't you ever been here before? No, not often. Yeah. But one thing, it's too long a walk. This place is hardly part of dodge. Mm-hmm. Now, it just causes it the edge of town. I don't think you like Mexican food, Matt. I grew up on it, Kitty. Well, the walk's good for you. Gives you an appetite. Mm-hmm. Is that why you brought me clear out here? Mm-hmm. I get tired of eating at Delmonico's in those places. Change is good for you once in a while. Yeah, sure, it's good for you. As long as it's for the better. There's nothing wrong with this food. I think it's delicious. Have you tried this coffee? I wasn't talking about the coffee. Well, you take cornmeal and molasses and you fry it together until it turns to powder. Then you boil that with water and you got coffee. Is that how they make it? That's how they make it here. Well, I like it. Well, you don't have to, you know. It's not going to cost me much. Then you ought to be grateful I made us come here. Oh, I am, Kitty. I sure am. Matt. Yeah? You haven't asked me about cold yankton. No, I haven't, Kitty. Why should I? I swear I thought I'd never find you. What are you doing way out here? Is something wrong, Chester? Only the bank got held up. Three men, they took over $10,000. When? A while ago, I'd been looking at the words for you. Has anybody heard, Chester? There was a few shots fired, but nobody got hit, I know well. What, any idea who it was? Yes, sir. One of them anyway. Well, who? Cole Yankton. I'll never find him.  So we started after him. We rode blind for a few hours. I was about to give it up and wait for daylight when we ran into a cowboy who'd heard him ride past him in the dark. When I told him who I was, he told me the only place in the whole country where they might be hiding. An hour later, Chester and I were crawling on our bellies up to a half fallen shack that lay under a small bluff. And in the shack, they got a bar going outside. They'd have been safe enough if it hadn't meant for that cow puncher, Chester. Yankton's one laying on the ground, ain't he? Yeah. Just hold it up, Chester, and listen.  Yeah. The other one's probably in the shack. Listen. They don't like it, I tell you. Another thing, Yankton, what were their men doing in the bank? It was always empty at that hour. Can't find out everything in two days, can they? Yeah, I guess not. I still give you credit for one thing, Yankton. At least they're tin-horned morsels. No, they're not. No, they're not. No, they're not. At least they're tin-horned morsels never showed up. Don't give me credit for it. What he means, give me some. He means she was in on it. That cow helped you out? What's the name? Name's Kitty, and I don't want to talk about it. You talked about enough of what we got to do. Look, the morsel was out of the way, wasn't he? That's what I said. And that's all you need to know. Now, leave Kitty out of this.  Chester. You watch for the man in this shack. I'm going to move in on these two. Are you ready? All right, you men are covered.  Shoot him! I got that fella in the door, Mr. Dillon. I keep up, Marshal. Don't shoot. Got him all but him. All right, keep your hands up, Yankton. Here, up. All right, get on your feet. No, I can't, Marshal. Too dizzy. Marshal, I... I got him too, I guess, Mr. Dillon. Yeah, he's bleeding all right, Chester, but he's not dead. Say, looks like an old car to some kind over there, Mr. Dillon. If it ain't busted, maybe we can hitch it up and carry him back to Dodge. Yeah, well, let's find that money first, then we'll try it. All right, Mr. Dillon. Yeah. What, Chester? It's kind of bad about Miss Kitty, ain't it? Say, where are you listening to Gunsmoke? In your car? Getting ready for dinner? Oh, I see. Just relaxing in your favorite easy chair. I'd say you're in a good spot right now to really enjoy Chesterfield's better taste and mildness. You see, Chesterfield packs more pleasure because it's more perfectly packed. A more perfectly packed cigarette gives you an open, easy draw that unlocks all the better taste and mildness of fine tobaccos. And Chesterfield, made by exclusive accu-ray, is more perfectly packed with an even distribution of tobacco from one end of your Chesterfield to the other. Firm and pleasing to the lips. Mild, yet deeply satisfying. Remember, to the touch, to the taste. Chesterfield packs more pleasure because Chesterfield's more perfectly packed. Bye, Chesterfield. Mild. Yet they satisfy the most. I would. And I don't give up, Yankton. There's always a chance. You'd bury them before we brought you in. You got a bullet in me, Kitty. I know. I'm on the street there. Yesterday, I... I had it in mind to ask you something, but when I got close to you I didn't. I knew I couldn't. And I'm glad to think things didn't work out so good. No. I'm sorry, Cole. I'm real sorry. Thank you for coming, Kitty. I won't bother you no more. He's dead. Here, I'll cover him up. Matt. No, Kitty. You don't have to explain anything. Yes, I do. I want you to hear too, Doc. I'm listening. You both think I tried to help him, don't you? It looks like you did, Kitty. Oh, no. And I guess I'd have to hear you say it before I'd believe it. I stand with Matt, Kitty. Thanks, Doc. Matt.  No. No. I want to tell you something about Cole, Yankton. He's been in California for years. That's why you never heard of him. Well, I've heard of him. I know what he's been doing. I think he came here because he thought I'd help him. But then he did a nice thing, Matt. He didn't ask me to. He didn't make me say no. Well, then I guess he wasn't so bad after, I'll get it. Cole, Yankton. New Orleans. Or just a girl. He's the first man I ever knew. The first grown man. Yankton was a fool, Matt. Yeah. He should have stayed with that girl. Now she's all right, isn't she, Doc? In a moment, our star, William Conrad. Chesterfield packs more pleasure because Chesterfield's more perfectly packed. Chesterfield, made by Exclusive Accuray, packs more pleasure because it's more perfectly packed. Unlocks all the pleasure of fine tobacco. Chesterfield packs more pleasure because Chesterfield's more perfectly packed. Firm and pleasing to the lips. Chesterfield, mild. Yet they satisfy the most. You know, to compliment a westerner, you might say, you'll do the right the river with. That means that he's courageous and honest. But next week, when a man rides the river, he dies. And that was the West. Good night. Gunsmoke. Produced and directed by Norman McDonald, stars William Conrad as Matt Dillon, U.S. Marshal. Our story was specially written for Gunsmoke by John Meston, with music composed and conducted by Rex Corey. Sound patterns by Tom Hanley and Bill James. Featured in the cast were Vic Perron and Barney Phillips. Harley Bear is Chester, Howard McNeer is Doc, and Georgia Ellis is Kitty. Smokers, this is it. L and M filters. So good to your taste, so quick on the draw. Make today your big red letter day, your L and M red letter day. Superior taste and filter. It's the miracle tip. Make today your big red letter day. Chains to L and M today. L and M, so good to your taste. So quick on the draw. Get L and M today. Relax with L and M. So good to your taste, so quick on the draw. Join us again next week for another specially transcribed story on Gunsmoke.


I've been coordinating the MADCATCHER outreach program for several years now. Everything started in band in 2009 at Warshup First Nations and Mathematics organized by Melania Alvarez. And the idea of the Warshup was really to put a group of academics, a group of elders and a group of teachers, mostly from themselves together, to discuss common ground, how to introduce and teach and present and how to promote mathematics to Indigenous learners. And among other conclusions, something that really resonated with me was that we should introduce mathematics to learners early and that there should be a cultural component in what we do. And that was really the philosophy, it's been philosophy of the program over the last, how many, nine years now. So we started with creating animated films. Our hero is a small number, he's an Indigenous boy who is always in some kind of trouble, but because he knows his mathematics, he gets out of trouble. So we created, so far, we created nine stories and maybe the true legacy of our project is going to be that those stories, they've been told in nine different First Nations languages. And I find this as actually a big compliment to the whole program that our narrators and these nations accepted our stories and they were willing to tell the stories in their languages. But creating these videos and sharing them with the communities is just one part of the program. We do school visits over the last nine years, the program is about 250 schools across BC and Alberta. And of course those schools are not only schools on reserves, or schools for Indigenous learners, but we use really the spirit of story talent, really, to introduce mathematics to everyone who wants to listen. And we meet with students from kindergarten to grade 12. The main idea of those workshops is, or actually there are three main components. One is no fear mathematics, no fear. We would like to show mathematics as a source of joy rather than source of fear. And I think that what I learned from others that I met over the years, the way how they present themselves, helping really to build this story talent component of our workshops in a way that really resonates with young people. Another component of the project is hands-on activity. And that is again something that I really learned from some of my Indigenous collaborators that doing hands-on activities always helps to communicate actually ideas. And so films, school visits, we also organize a year annually, one-day workshop for grade 11, grade 12 students. We invite about 100 students, Indigenous students across BC to come for one day of science here at Simon Fraser. And the idea that really here is to introduce to these students Simon Fraser University as a place that has everything really to support them if they decide to go this way. We do this always in coordination with SFU's Office for Aboriginal Peoples and with SFU's Indigenous Student Center. So it is really our joint effort to promote higher education among Indigenous learners. Another component of this program is organizing summer, we call them academic camp for Indigenous learners. In this part of the program, we invite Aboriginal students from grade 9 to grade 11 to come for a month of mathematics and English in the morning and various activities in the afternoon. This is again done all in coordination with the SFU Office for Aboriginal Peoples and with the SFU Indigenous Center. For this camp, we always have quite a few guest speakers that are coming from various communities, Indigenous communities, mostly from grade 10 to 12. The overall purpose of the project is really to promote mathematics. We started really, we were inspired with this BAM workshop, but I think that now the program is kind of a wider A. We use what we learn really from various Indigenous collaborators to promote mathematics among the general population. Often, that is almost a rule we are invited to visit public schools by Aboriginal resource teachers. In a way, our program is is helping those teachers to be more visible in their schools. There is also one thing that if I may share. During my visits, I like to remind students from kindergarten to grade 12 that if they live in British Columbia at this point, then the Indigenous culture of First Nations here in BC is also part of their culture and better if they are aware of this. The stories are created by my colleague Mark McLean, Professor of Mathematics from UBC and myself. We started really in 2009 at that BAM. Our first story was inspired by a narration of Rina Sinclair, an elder from Sixth Nations. She told us a story about her own childhood and that was really our inspiration for the first adventure of Small Numbers. Our first translation was really in the Blackwood language. Other stories were inspired mostly, I have to say, mostly with my interaction with various Indigenous individuals and communities. Almost everything that is in those stories I've seen or heard in this way or the other way. But we also do our research. We know that we are talking about very sensitive issues. So before going public, we do our research. We find as many sources as possible that would support the story that we would like to tell. But also we run this by the members of Indigenous communities. And so far so good. I mean it seems that our stories have life on their own now. And I know that they've been used across Canada. If I may share with you one anecdote, I had an opportunity a couple years ago to meet a young teacher. And she told me that she was a teacher in a small community, a community in North Quebec. And she said that she showed our films that were in the Cree language to her students. And she was teaching kindergarten grade one. And the feedback was that they liked the movie or the movies that are few of them in the Cree language. But they said, they said, they know it was Cree. But the dialect is different. So that kind of they couldn't understand. And just that image that somewhere in North Quebec, a group of kindergarten kids could connect this little story that was made on this part of the country with their own language and to experience that there is Cree with a different dialect spoken somewhere else. I think that is also a contribution to our society. I would like to think that in our stories, one can see mathematics in every scene, in everything that was said there. The plot is always mathematical. We always finish with an open-ended question. So we really leave a space for the teacher or whoever want to use this to build whatever they need for. I know that a person here at Simon Fraser was doing her master's and her project was really about how she implemented the stories in her class. In this paper, she describes actually how she needed time really to find a way how to use the stories to communicate mathematics with students. So it is not that our stories themselves are enough. They're a resource. And I hope really that we have enough space that we'll leave enough space for a teacher to use these stories in any way. There is also this component. The program has been around for several years. So I get invitations to meet with teachers. I always try to bring some of my former Indigenous students as volunteers to those meetings. So we are really trying to reach out, not just to students. We are trying to reach to wider teaching community with this program. Again, this is a learning experience for everyone. It is not that we have many answers. But we have maybe we have more experience than some others. And what we do really we share our experience with the community. And it seems that that community needs at least this as a conversation. So first, what is success? The fact that we've been around for nine years, is that a success? The fact that our films, they've been used across the country as a resource and they're connected with other, how many schools or school districts or resource sites, is that a success? The fact that our school visits for a year, that for example this year I was completely booked by the middle of August last year, that our volunteers use this experience really to start promoting various Indigenous courses themselves. That's a success. Probably it is. But really, if you ask me personally, what is a success? I was just two weeks ago, I was visiting a small reserve close to Williams, not close, two hours away from Williams. In the middle of nowhere, a small school and the principal asked me to meet with all 50 students in the school. They have something for four years old, heads up or something like this, to grade six. And I met with everyone. And wonderful kids, smart kids, well-behaved, well-capped, beautiful school, welcoming teachers. Obviously it was obvious that the school is also a community center. You could see parents involved, you could see that the school is part of that community and you could see happy kids. So I was asked to meet with a group that was four or five, four-year-olds. And how do you communicate mathematics with four-year-olds? How do you talk mathematics with them? And how do you keep their attention for half an hour? They're teachers right there. In my mind, I have this particular boy showing me on my banner, triangle and rectangle and counting. And I think that was maybe one of the happiest moments in my professional life. Just being in that position to support the obvious intelligence of this young boy. And for me, that is maybe the biggest success really that I've actually been at these nine years. To be there for that kid. The project is based really what I learned about Storytellers. I go to, and if I was better prepared, and my memory is not as good as it was before, Rena Sinclair is one of those storytellers, but there was another lady here from SFU. Her first name was Evelyn, but I cannot recall her last name. She was a black widow also. And the way how they were telling stories, that is really the format that I'm using. I visit a school and there for a day. I visit a class, kids that never seen me before. And that they're not going to see me probably later in life. And just using this what I learned from Rena and Evelyn to build the story about who you are. And it works like a magic. Teachers are always surprised that kids are talking back to me in a few minutes. And I don't know how I can thank Evelyn for sharing really their knowledge with me. There is another elder that influenced me a lot and influenced everything that I do big time. That is Betty Wilson from Claminace. She's been collaborating for several years. She told, I don't know how many of my stories in Siamese language. But also she was she was so kind to share with me her knowledge about basketball. And if you look for mathematics, I call that functional mathematics and art. And all that is a part of what we do. That what we learned, I would like to share with the community. And I have learned, I think I'm still learning, but what I learned was so valuable for myself. So I'm not sure if I'm answering your question, but for sure this program wouldn't be here if there were no elders willing to share their knowledge with me and allow me to use it in the program. So our math camps, our summer camps, they were really introduction to so many, introduction of the post-secondary education for so many of our students. One thing that I'm very proud of, that in five years of running this program, we didn't lose a single student. All students that started the program at the beginning of July, over the last five years, where they will be closing ceremony. And not everyone is going to go to university, but I'm quite sure that we at least open them up for that thought. And also, I mean, and this is, I think, important to say that we do everything together between SFM, DGNC, and SFIO, Office for Aboriginal Students. So we show that these still in high school Aboriginal learners that if they decide to come here, there is support for them. And that is maybe actually the most important message of your time to communicate with those kids. And if something that for sure is going to stay after this project is the fact that we recorded so many of these small number films in First Nation languages, and I think that is going to build legacy of our program. I know that those films, they've been used actually in language classes. One of my collaborators from this commission nation who is actually teaching this commission of group of learners here at SFIO, he told me that these films are great resource because they have an imagery, they have sound, and there is a transcript with all each of these. So I think that is maybe a small but a contribution to Indigenous education, and not just Indigenous education. I would say, I would like to think that by doing this, we are contributing to whole Canadian society. It is at least in my experience, two ways, three. We are building communities. We are building connections between Simon Fraser and various communities. And as an outcome, that is not directly a part of the program, but it wouldn't happen without the program. We had a very recent collaboration with the Tlamination, and they kindly allowed us to make a computer model of their baskets. And this is going to be a great learning tool. At the same time, we are preserving part of this tradition. So this is the latest technology that we can think of, and a group of students led by Professor Cedric Shaw here from my department, they created an app that you can actually build a design of a basket that resembles Tlamin designs. And that is another outcome of this project, but on that side of the project, really, through our collaboration, we've been able to build a trust between Simon Fraser as an institution and various communities.


Everybody for Shawn and Jeff here ripping mega triple case MLB 2023 definitive bowman draft sapphire moments best Random teams here. I'm gonna show the results to you right now. We'll scroll down I'm also starting the 30 seconds for the guest of super now I'll scroll down to show the rest of the results here my guess the rays up top There we go. That's the bottom of the world is the bottom Super guys all right, let's go ahead and get started here. You got 10 seconds five four three two and One time is up So It's like morale dug down to We'll start with best so we'll start with the product that has a super factor bounty again Superactive bounty in this product in this product is 625 currently That's what the guess is for as well. That's what the guess is for the guess the super Coincides with that bounty is that 280 I think is what it was never remember. It's on the tonight sheet Someone hits it. Let you know It's over 200 under 300. That's what we got Kyle rich said Lee and El Messi See this dude's got this guy But my dudes got problems We know this box wine. This guy is not at home watching. He's at Frogger's or something. He's sitting on the corner I might join him. I might join him if you're there in a couple hours. We'll come Alex of Vila Spencer I Write Jordan you are right my friend. It's my Johnson refractor junior carbon arrow the one person that works. Yes We should unmod Sam Jake and Kyle In doing yeah 100% ash Joe's auto Camilo Diaz refractor Jacob Gonzalez Hey, Marino on the reigning Johnson insert their refractor Bryce Harper wave of Crawford for the Phillies refractor rookie Gorman Cardinals Hello, LSC butternugget a.k.a. Cortes Blue refractor to 150 is Jackson choreo. You Cortes is never inch out. What's the occasion man? I love oh Yoshida on the rookie astral projections auto to 99 Red Sox I said Boston Dodgers factor flighty junior go Dodgers and Red Sox if they get good Red Sox start playing well and back dude refractor Jackson choreo like immediately. Yeah, me too. Right now Orban Carol rookie astral projection refractor Correa He wasn't checked any line walks around here with a bat sometimes autograph brewers Louise Lara Refractor Ethan solace LSC butternugget is Cortes gold lava Colson Montgomery to 75 for the White Sox Fractor Colson Montgomery White Sox You hear that Jeff just said Cortes best swag game in the office You see what I what I'm wearing wave Jacob Wilson is I Just wore all black it always matches Auto for the guardians refractor will be in Francesca at least you got the hat and the shirt to match Yeah, I'll see her for the fractured your Jones. I'm adamantly not swaggy. I'm wearing a Patriots shirt.  We stopped the Bucky's didn't get Bieber Nuggets when we were going to Chicago Yeah, we didn't get it. That was weird no, I Was still in panic from lanes driving. I didn't know he hadn't driven yet. Oh, no Oh, no, wait, when did he only drove the one time didn't he yeah, we only let him yeah one time I Did that it was like all right, we'll switch and I was like I was thinking like man I really don't want to drive like into Chicago at like 5 30 p.m. Eastern But I was like, you know what I'll do it Morale Astral Projections refractor Ricky Perez morons. I still rather drive through any any part of Chicago then drive around the Tampa area I for an I 75 Like interchange area that is the worst place I've ever driven in my entire life That was the gold Langford to 50 Rangers Nice one, Texas and a blue refractor auto Braille and tavera for Baltimore to 150 good pack Paras work here factory Yanks We got I got like a breakfast I got like a breakfast sandwich and something else Yeah, I'm not the we got the brisket. I got all fat my brisket Disgusting wave of soda for the Padres or fractor soda Padres. I might go up to Daytona. Just you go to Bucky's Oh, that's what we got dude. I hammered the I don't Gonzales Mariners auto Gonzales, not Gonzales No Like the nuts that they roasted nuts I think that's basically what it is when you say that like people yeah, that doesn't Roasted or candied or something not candied because they're warm. No. Yeah, masterpieces mini diamond Max Clark Tigers She'll act of Langford refractor Wilson You know, they're all they're delicious cinnamony sugary Heaven crunchy masterpieces ohtani angels rally green refractor Louisa right mark Have a good night See a mark Talk to you in chat tomorrow factor auto blue jays Gabriel Martinez refractor Joey Votto Dude, there was so good, man. Yeah, we I so I was like I'll make these lasts. I did not know dude They lasted like an hour. I mean less than how I'm wearing them things man Purple the 250 drew Jones d-backs refractor Matt vervis rookie for the Cubs That's like the one thing at any sporting event or like like if I'm in like Like if I ever went to like New York, there's like something like Carlos out of the street like they got that that's over Like I'm getting that Real it's real solace refractor Ricky Carroll d-back like Disney or you know theme park something like that Tigers base auto Javier Azorio Fractor rookie Richmond for the oros. I'm volunteering Jeff this time. Yeah What is it Cleveland this year? Yeah She'll act cellist and refractor Jay Ram That's how everybody reacts when they're hanging out in Cleveland You want to Cleveland at least the guardians better be in town Something so at least we got to see You get to see a ballgame Cubs in All the hot dogs I'd like to go back But for like it and just take his time and go to work put for like a non-professional leader. Yes, that isn't like 300 pounds Hello, Lane Mini diamond Bonilla at a 299 blue J's refractor rookie Bobby Miller Dodgers Lane was there. We're talking about Lane a minute ago About eating hot dogs at the White Sox game Do Lane walks if we get a red let's go. Let's say we get a red And it is rookie Nolan Gorman. Let's go. That is sick Holy cow number one of ten Got red lava is the five of this. It's confusing. That's it color match cardinals First mag of the triple-caser I don't know who's got him. Are they there they are Steven you congrats even even gold lava behind it Kenny Gomez out of the 75 Astros Schmidt rookie refractor Giants Yeah pool for sure with with the four autos many diamond a rushman for the Orioles there Jones. Oh, there they are. There's uh, there's Sean shoes Yeah, Sean shoes right there the dunks Fractal Ricky Alvarez for the Mets Real surreal cost us red Sox refractor Alvarez Zavala Padres auto, what do you mean refractor? It isn't a super didn't say super factor bouncy. Yeah It did say that it is the bouncy shell act of Gunner Aqua Lava Wilson a 199 a some refractor Matt Olson Yeah, it's a super factor bound Yeah, I think it's to me it'd be super factor factor match on yeah, we're chasing super Yeah old nut butters in here wait what wait what's Auto for the Yankees caner Delgado Fractor Oswald Cabrera Osvaldo Cabrera for the Yankees It's pretty sick though. Yeah, it's hard Who's that that was some guy ripped a hobby box. I thought that was yours for Real surreal Vargas purple the 250 Davison de la Santos D max Rookie refractor Grissom for the I want to say Red Sox or Grissom every time is it he's a brave still in 2023 Yeah, he's got to get the rest of the Five of those gigantic like Really green auto to 99 Kendall George Dodgers, that's pretty solid She'll act of Max Clark refractor Freeman Or sketches dad eight dogs in three days, I had eight dogs in like one and like 40 Challenge in like two and a half. I did complete the nine challenge dude Yeah, you add them up It was impressive Appreciate it, Brian Around the shop they call me the glissie gladiator Glissie gladiator line refractor cable To 99 auto D-vax Davis and de los Santos Fractor Max Eight minutes Know what more more respect for Nicky rips now, honestly Gonzales won that For the Mariners Lazaro Montes refractor manning which Yeah, she'll act of schemes refractor Lindor Oh Projections there refractor Ronald Acuna Refractor auto Dodgers you her tire Fractor Rikki Cosas Red Sox That's probably how it goes with the time honestly, especially I like to be a pocket show Was it factor Rikki morale comes thing I'm probably gonna go tomorrow Real to real Montes Mariners refractor Rikki almond Dodgers, I'm gonna sell some parts Many diamond Jackson holiday to 299 Orioles and an auto for the angels ran into Jesus Fractor Rikki Volpe Yanks I'm gonna sell the purple wit Refractor The hell Say till 3 am going to the public show get ripped off as well my goodness Given the locals That's very fair for a deal for like shop dealer. Yeah, that's really fair Refractor Tommy Troy Max Anderson tigers autograph refractor Bonilla. Oh, we haven't done any personals yet tonight You think it ripped maybe another night? Yeah, guys personals are full. I'll probably get everything done. That's in queue Probably Lane, I'm jumping you for every customer that has a Personal in queue. I don't see any finest Star Wars order for tonight Do that tomorrow night No Sunday daytime or work Probably Wide open and we would love to open that for you, sir In all reality, yeah, that is the next time though. Yeah, we got a lot we're behind Wave J ran for the Guardians refractor Walker Rikki Cardinals if your local comfort in show Frison ring cash Purple to 250 machado for the Padres Mac Horvath bluer factor out of the 150 baltimore factor Ohtani I was gonna say I might come by one of these boxes tomorrow woman's best for Boman chrome you refractor Rikki gray rod Orioles Hello, James Supposedly do you have an order number because I don't see any finest Star Wars in queue for tonight Actually, I'm supposed to play Reds many diamond at 299 outman Rikki Dodgers Dodgers Rikki refractor Moreno d-back. Go Dodgers by the way. Go Dodgers Yankees auto Brando Maya Fractor Rikki Yoshida Red Sox Fractor Rikki McClain Reds Hey real to real Harper refractor Rikki rather dream tigers Fractor auto for the Braves Louise Guanipa Fractor Josh Chisholm She'll act of Jackson choreo aqua lava to one out of nine Davis and de la Santos d-backs Fractor fucker. We're going to Lane's house with a game tomorrow Hi noons aren't bad Oh Masterpieces Volpe Rikki Yankees blue refractor Rikki to 150 Riley Green Tigers and a schemes refractor for the Pirates Base auto Cubs Ludwig Espinosa and refractor Jose de Paula got just the order to ship a ship sealed box Yeah, oh good that done during personal side. I'll probably go around like 2 a.m. Or so Probably it'll go before 3m Eastern. That's that's all I can really guarantee at this point mini diamond shell act of the Paula for the Dodgers Carol refractor de la Santos d-backs You're at the shop you can take it home Hey frikki Paraza Yanks refractor Bishette. Yeah, Jays. He stinks Oh They saw it over the blue jays Josh Kassavich Fracture Tatis Jays just said he's spent the past Eight years working for Sabin a bell check and didn't win one championship Three many time it's a 99 rookie Grissom for Atlanta and refractor rookie Beatty Metz Fracture Chris Bryant Really? He's 27 years old green rookie the 99 Mazatake Yoshida Boston And auto Faunas for the Mets Fracture Carrera. Well, it's it is super for the bouncy refractor Bobby Witt This is the last break tonight that the bounty applies to refractor sanga rookie for the Mets Another red another red it is Roman Anthony auto wow nine of ten Lane brought the Reds dude Yeah, that's it big both big reds to Boston Boston Boston Boston Jeffrey H Gratch Jeffrey Jeffrey appreciate that one Fracture rookie Langoliers A's Refractor shell act how refractor Montez Mariners. I Know you were I know I texted you but you saw what Tom hit, right? No, it may have been at like 25 15 or 25 or something because the packers are all strange on the checklist I ran into you he got the twins and Rangers in the range or twins and Braves in the random You didn't have like a crazy amount of spots you have four like he had a good amount I mean if you want a sure way to make sure you get that card and a P white C That's there was only one way. I don't blame. There's only one way to ensure that Our refractor Bradfield Orioles An auto for the A's Colby Thomas Fracture Xavier Isaac If you wanted a rips like it earlier time we could have a go first for personals tomorrow night exquisite After group breaks. Yeah, buddy Many diamond a 299 is trout for the angels Fractor Abrams You're talking about it for like 20 minutes wave rookie Perez for the Marlins refractor Is there even Nathan's around outside of like the mall Well, that's cool Oscar Colosson the Randy Johnson insert auto to 250 for the White Sox That's a converse factor rookie netto for the angels She'll act of Michael Harris refractor Michael Harris Masterpieces Corbin Carroll for the D-backs Harris their refractor of Tovar It was his only meals that wasn't just one a day Vargas Dodgers auto Many diamond real Tareel Ohtani angels I would ask Cortes that Cortes you still here This it sounds like she pulled him because she acknowledged it in the text thing Real Tareel Alvarez Mets nice corporate Carol gold lava D-backs to 75 That's pretty refractor rookie young for the Rangers Thought Ellie was faster. Oh, he's faster around the bases. I guess Refractor auto Clifford for the Astros Lane wants to know where those master work boxes are refractor Marcel Demire Taxi or whatever She'll act of Jackson holiday refractor Celestin last moments best Yeah, she did you just keep guessing Because the second you switch it up we hit something All right, I'll get it down for a exquisite if you do miss it it'll be uploaded. It'll be uploaded later for you. Oh Yeah, for sure. Yeah A masterpieces rather green for the Tigers bonnie refractor a safe as a zoo That's cool lava actual projections rather green for the Tigers out of 50 Justin Henry Malloy Tigers auto Tigers pack Refractor rookie Henderson Orioles Wave rookie rushman for the Orioles refractor Jackson holiday Auto for the twins Henry Chavilly Fractor rookie Bradley for the race Yeah, of course Jeff is still here. Let's go Jeff's going nowhere, dude Many times rookie Corbin Carroll for the D-backs Jeff works here now Shalak rookie of Carroll for the D-backs refractor mookie You better be careful it's not that cheap solace refractor rookie Julian for the twins A refractor auto of taverra for the Orioles There's a refractor They're purple to 250 is bonilla for the Blue Jays a refractor of Langford for Texas It's a Frank Real to real Aaron judge refractor Colin Hauke Cortes, what are what are Lane Sean and my nickname? What are our nicknames? What about Sean what do you call him? She can't say that Auto Ryan Clifford for the aftereme family stream refractor you and your Vargas Pack for a super Not didn't have it didn't happen It rolls on to tomorrow the next moment's best break tomorrow started 650 on the super bounty Shellac sapphire shell act of Walker refractor of Nato. You I don't know. Will you be definitive? Yeah At this time of night with how closely lives. Yeah, I forgot Lane lives way closer now. Yeah, I forgot little so close You underestimate my power You underestimate my power Full case of sapphire That's one thing I noticed before I Color That's true We're gonna do I got Emerson Delgado Soto and Barry Tanner Hall twins yellow first color of the sapphire case is Olsen for the Marlins the 75 Or Bethany The Nazi Troy Nichols and Foster Got an orange sapphire selections come up. Oh, it's an auto There's Watts Brown and it is a match Shaw orange sapphire selections auto cubs 8 of 25 Jordan it K with the cubs. That's a big one Jordan. Oh Boy Cameron's here Connelly early and Brady Smith It is to ours forced to ours guy Grayson hits gold to 50 Jason choreo guardians When y'all is in Wilson black sapphire after Drew Hackenberg is Spencer Nibbins first bowman Kansas City of 10 What a box Radha and Hawk Save your Isaac yellow Connor burns the 75 reds first bowman got O'Donnell questad Paula Homer Bush solace and Connor Burns as the first box We had an orange Shaw auto in a black sapphire first bowman Juice box guy. No, that's Jeff. Who's the juice box? Oh Talking about it Got parada Nibbins Max Clark first Brock Rodin first an orange sapphire Kevin parada Mets color match number 21 to 25. Oh Matt's a juice box. I didn't make sense Espinosa Braden Taylor Yeah Skinniest person here eats McDonald's like five times a week doesn't doesn't gain a wedding or a boy Acuña and alderman. Yeah, well, he's 21. So Jane ham autograph Brock Vrattenberg for Every go Marlins Marcella Meyer Colton led better The Ocho it is the Ocho Cinco diet to be fair a Hunter Hollen yellow sapphire and Lysia green for the Nationals out of 75s like that Phil Kessel Dude still a baller Williams a bit taunting. It's the best got a Huna Merrill Savakul and Cunningham Got a gold at their scone wetter is a jet Williams jet the Mets of 50 Halloran Cade Norris on the Langford first woman sapphire Cravey and Mahoney about the skip to the finnish All right, I'll do us a sapphire to minute James Wood Kevin sin Yes, oh We're doing I'm not gonna do it ready. Go cooler Valdez Coleman Picard yellow sapphire Andrew Lindsay for Miami to 75 Toran and Eldridge Fernandez Sullivan oppor and Walters. This is a This is a fish in right here Kendall George Johnny Farmella first woman auto for the Mariners nice Farmello Drew Jones Jake D'Aliot That's crazy inspire. I might have to get a double Big Mac for now though Spencer Jones Dylan Campbell Emmett Olson and Alberto Rios Sapphire selections after McLean and it is a gold tie Pete Seattle 35 of 50 Oh Great box for the Mariners Guanipa and Blake Mitchell first of Jackson Holiday, Montero and Hurston-Waldrup Sup trash Right louder Coupette some Meyer and Honeyman Bradfield my yeah, yeah chase Davis and you Andrew Vargas See a pool Sam of Osaya with an orange first Maui Ahuna for the Giants nice color match Number to 25 dude. Everything's good right now trash. J. C. Young y'all some Mercedes angle with the gold Why it's Langford 7 of 50 Texas Yeah, wasn't I saying earlier that Texas is like bound to hit something in a full case here Holy heck The Rangers in this they're sitting pretty now. That's Jordan Jordan K with the Rangers Jordan also hit The he also has the Cubs hit to hit the Shaw crushing sapphire Jorge and Schliger the Los Santos winnaker McDaniel and Gonzales Ty Floyd Bradfield first woman out of her Baltimore. That's a nice hit Sapphire Cole Young and Hunter Haas And Cortes up late don't you work tomorrow Cortes? She's on that for Mar-Johnson Nice Garrett Forrester yellow color match pirates first bowman to 75 I as in Bashir's I haven't seen Cortes on for a while Montez pink me Gordon and Clemmie Lane Jake and our plane last night Yeah, all the text Cortes directly For group chat crazy. Yeah, so many people too many. I just had people that I know we're all Yes, yeah Appreciate you for joining this Jordan Patrono ballman Thornton and salted bond dude You still have half a case of sapphire in a case of definitive left with Cubs and rain comes a range of pretty solid and definitive Rhymer green Tayshawn Walton and Mejia Yep, yep, Justin Crawford followed by yellow sapphire Homer Bush jr. Padres color match of 75 Patrick Riley and Seth Keener Three things better at the music one Cortes Jake or me Chorio Sabayos, Hudpool and Whitman Jack Hurley with an auto bass sapphire auto of Jack Hurley Dbex bass followed by the auto Clifford and Grant Taylor Colin Howe followed by orange Rhett Louder 16 of 25 We go reds choreo and Jonah Cox That guy's we'll keep going here. Thank you Cortes All right, keep going here pump rat louder Almeida, Francisca, Louisa, Halakunia, Zach 11 sin Taipea first a yellow sapphire first woman Jack Mahoney for Colorado to 75 Mires and Christian Campbell. I was half a kid Sapphire stacked Bob's big boy burger place If I ever see one, I'll stop in I'm ever in the area of one We got Farmelo Arias Woodward and Mahoney got Mikey Romero yellow Spencer Nivens Kansas City to 75 Xander Muth and Jacob Cravey Arias Fisher Espinoza and Taylor There may be big Tommy Troy Collier, Kayfus, Meyer and Alderman Kering followed by a yellow sapphire Bryce Eldridge Giants 57 of 75 will mag that too Giants Mike ask Congrats Mike It's probably you're chasing this they're not the best team in the finish They got some poses and stuff, but that's probably your chase right there. Awesome hit for you Lead better in a cunea Santana Gutierrez Jets and the taunty Cool Miller orange sapphire Matt Shaw autograph a cubs to 25. Oh my god Two orange Shaw autos Savakul and cunning him. Yeah, they're eating there eating Paul Skeens first and an orange of Jason choreo to 25 Guardians Non first, but really nice. Oh, Halloran and Morris. That'll still do pretty well right there. It's water. Oh Yeah, I know. Yeah, okay, okay. I definitely know what it is then He did miss the gold link for it and it's two orange Shaw Zavala Forester Montgomery and Barofin. You didn't know Lane drives fast Stop gunner gunner What up Stan is lane I'll tell you don't make the trash list your first week here, dude Oh man, which he's like that one too Vakero Redfield Levi Wells and Kristen napkin a rock ratio first gold Dylan Campbell for the Dodgers go Dodgers Let's go Dodgers 46 of 50 best hunter Owen Marcus Brown big Dodger fan right here huge My whole life key for Lord Kate Denton Castro and Wilson Wyatt Crowell a Charlie Soto first woman auto from Minnesota Matt Shaw and Felton Celeston Jax Wiggins Luke Schleiger yellow sapphire first woman for the Giants of 75 You over to Max Anderson Papa Come around us One of one pot Parasha Twins Ariel Castro Congrats to the twins Minnesota Jason H There we go, Papadea Ariel Castro I was hoping we rip a full case and get it and get a pot Parasha Brooks Lee and the Zanzanatello Trusser a gold Christian nap chick for Cleveland number 250 Go ahead rock a fort rock a fortnight forget about Carson rock a fortnight In the west they better get to winning Yeah, when you when you pay as much as LeBron probably has you better have the best hairline in the league What's brown but not you Vargas and Meyer? Whoa, it's not that bad It's better to have to be like gone than like what the rants got Hackenburg hits Mercedes and Chase Davis No Dave your Isaac with a J Sparrow fin blue jays gold sapphire number 250 Zala's and JC on Let's hit let's hit one lane to Paula Homer Bush Hunter Haas and Quinn McDaniel. We have hit some big cards tonight Give us some monster cards in this break Got pirata followed by gold auto Travis Honeyman St. Louis St. Louis having a very awesome break. That's out of 50 Also have that red Gorman from Bowman's best as well Shears and Cole Young and they're also probably one of the better teams in definitive coming up here red You got a Spencer Nivens first woman base sapphire and the red is Marcus Brown for the Nationals Tom with the Nats three of five Great color match like that. Well the Nationals red sapphire earlier, too That's one of the mixers sliger and bias Whoo Got a black sapphire now what is going on? You got Brock Rodden and it is Grayson hit black sapphire for the D-vax number seven of ten. Oh my goodness Camilo Diaz and Dion Jorge and a yellow. What is up with this box? Mario unboyed and a yellow a breaded winnaker for the twins out of 75 Still in the head and Kevin sim. Oh my god Lane. What do you say?  Oh boy. Oh boy Lane Lane knows exactly what he's doing, too. All right got Brady house yellow sapphire first Bowman Connor Burns for the red I think we have one of those earlier 75 Sova cool and Cunningham No, no, no Jones still in Campbell. Oh, Halloran and Kate Morris Nolan McLean with a green auto now green auto is Dude, are you serious Matt Shaw to 99? You kidding me Three match saw autos in nine boxes so far Woodward and Mahoney Lane. Let me know when you do which case you got it out of so I know that I'll go I'll go to that case if you if yours box is terrible Jackson holiday with a gold now of you Andrew Vargas for the Dodgers till 50 Cravey and Moose Definitely hit a couple of Tasha Waltons. I would think Paul both Montgomery and Barofin You hit a big Philly and a definitive though Harper Schwerber Schmidt old Emerson. There's the yellow Kendall George for the Dodgers that have 75 You buy a well as Christian napkin. Yeah, it all takes is one Tommy Troy. Canard Delgado Louise son, hella Cunha and Christian Campbell Watts Brown and Menachi Alex Ramirez and Zach Levenson box 10 of sapphire here Tray Morgan Arroyo Horvath and Lee Sapphire selections after this Chris Clark is Jacob Wilson's short print insert for the ace Nichols and Foster Hero Wyatt a yellow sapphire first Dodgers again Brady Smith, they're hitting pretty well in sapphire too If you numbered cars 75 Brady Smith first Connelly early Brady Smith again Teddy McGraw, Abner Munoz, Paul Wilson, Vinny Gutierrez a gold Phillies first Tasha Walton a number 28 of 50 This is a triple case sir. We got three cases of product We're ripping all three Ice gold Walton solace. There's a max Clark first base sapphire Over your hits lane Carlos Jorge Paul Skeens for a sapphire auto Hitsburg go Pittsburgh that's for Thomas J Tommy Hawking Nelson Rota Jackson bowmeester Connelly early to 75 first for the Red Sox Oh Donald questad Jaworsky Detmer Carlson reading Connor Burns that does it for the sapphire case. Holy cow. All right, here we go definitive case to close it out They can do pretty big in this you've seen a heart My shawbers in here too before It's a it was like a booklet. Yeah, I was out of this My best of luck everybody and a pretty good break so far. I see some nice colors here See some nice colors coming up First up is that's a nice one to start tigers purple rookie autograph Riley greens who have ten oh Geez Lane was it was it low numbered or anything? Go Detroit to ten Riley green rookie auto Rangers Josh young rookie auto out of 50 nice Josh young Rangers already already crushed it That gold lane for that's a that's a nice hit though, too Check it out y'all Giants with a red one-of-one patch auto of will Clark Will the thrill Congrats Giants. I don't go nicely with the yellow sapphire Eldridge. He had the sapphire case Yeah, that guy was a beast three-color game-worn patch auto one-of-one That's nice for the Mets here one of five defining images auto Mike Piazza Piazza Framed autograph goes to the Brewers Kristen yellow chat of 30 is a monster for Atlanta Triple auto John Smoltz Greg Maddox Tom Glavin number to ten Alan with the braves Lee cow that's a big one pitching staff Sean hit homers on Walden. I did I took him way deep Kyle shorebird Jersey to 40 for the Phillies don't throw me BP fastballs no more Ain't Korea see your Jersey to 30 for the Rangers.  Yeah, but I never too too much too much trouble Rookie auto pigwaddle to 50 for the Pirates Yeah Smoltz's Hall of Fame right if Smoltz is in the all-arcos Maddox and Glavin for sure are We're no pirate turkey out of the 50 a pretty sure Smoltz is Defining our PA redemption Mets Francisco Alvarez That's killing it here in the that's Phil K with the Mets killing it with the definitive case so far Relic auto Don Mattingly to 40 for the Yankees nice Donnie baseball What a Gavin with the Yankees Braves hitting again here. We got a Dale Murphy on a 25 Nice SC Nice SC Congrats Next is Padres framed autograph. You've got Manny Machado one of ten. I'm actually a Colts then randomly Indianapolis Duel auto Salvy Perez Bobby wit jr. Number to 35 Dalvian wits relics here chipper number to 40 for the braves on the Jersey card and a Bridges patch Albert Pujols 15 of 15. Do you got the Cardinals feats? Oh my god, dude got the Cardinals feats What if that's from the same one we pull worse than the Cardinals head? That's pretty sick right there 15 to 15 a big owl for the Cardinals I feel like it still kind of went past everybody that he hit 700 home runs Like I feel like that kind of passed everybody by and then he became an angel because he was so quiet He's just crushed Dude he's 700 home runs Jersey auto Jose Ramirez out of 30 for the Guardians Guardians Brewers rookie auto out of 25 Garrett Mitchell Phillies Jersey autographs Steve Carlton. You got a lefty auto here Phillies came around Well, that's a big card Going to the Yankees number to five a Derek Jeter autograph Pretty good case of definitive too Captain three of five three of five Yankees We'll get that one bagged for you in New York I didn't think we were eating another one of one But we are we are gonna get another one of one right here Houston Framed Auto Jeff Bagwell Bag Jeff Bagwell Framed Auto Really good mixer here congrats to Houston, right? This is a Dual auto relic Mike Troutz Juan Soto God This mixer has had so many big hits Zufan with the angels The Padres The Padres is going to be Chad Eight of 15 I'll give out some bad people. We are going to random that at the end We'll give out some bad beat on that one Jersey of albis It's a 30 for the Braves And two of 10 ash throws the finding image is auto yordan alvarez. We got a bonus auto on the back instead of a relic Good hit for the straws Big straws box on the on the last one of the break Okay, that's the only random right? Yeah. All right All right. God. I mean I was going going and then it fell apart. It fell apart. You're starting 11 30 Are you It's already 11 30 I'm we're behind but the time's flying by all right. So big random here I'm gonna do Let's see For bad beat on this one Sapphire So this one I'm gonna do We'll do 75 bad beat on this one. It's a pretty hefty amount of bad beat. Uh best of luck y'all Angels Padres eight of 15 dual relic auto trout and soda angels Padres best of luck In 75 bad beats whoever doesn't get this one seven times four and three Whoever's up top gets it one two three four five six and Seven the Padres gets the card Yeah, I don't like pulling dual autos and multi teams like that Not I like Big car. I don't like it. I don't like doing that Personal's I'm all about it personal's I'm all about it Yeah group breaks. I don't like doing it. Um, so angels get you 75 bucks bad beat credit to your accounts I'll add that after the break here. Let's do a recap. I would say quick recap. This is not going to be a quick recap This is gonna be a long recap You guys get your spots for tomorrow The baseball basketball football fanatics live youtube twitch All over the place Okay, wow. Okay, uh, we got relics and then numbered parallels here. So relics. We had all these our pools the Burns feet there Chipper Jones, Kyle Schwerber and Seager numbered cars These are going to be in mostly most most the order here. You're going pretty fast But these are all numbered early smith Tashon Walton, that's a gold. We got Kendall George gold Vargas Burns winnaker hits barofen napchick schleiger Dylan Campbell Jason choreo, Spencer Nivens, Mahoney, Rat Louder Orange, Homer Bush, Garrett Forrester, Maui Hoona Orange, Goldtie Pete Sapphire selections Jeff Williams, Lindsay, Green, Orange Parada Connor Burns, Gold choreo Black to 10 Nivens Olson there into the moment's best. We had Bonilla, Trout, Machado, Jackson Holiday, Manuel Bonilla Drew Jones, Davis and De La Santos, Wilson, Davis and De La Santos, Gonzalez, choreo Riley Green, Von Grissom, Mazatake Yoshida Montgomery, Langford, Gold, and a gold lava Corbin Carroll Okay, autos now Fire product man, you gotta get in Starting with definitive on the autos. We had Alvarez, Steve Carlton, Garrett Mitchell, Jose Ramirez Salvi and Whit dual auto Frame got a Machado to 10 for the Padres Padres really really did well Dale Murphy, Don Mattingly, Alvarez defining RPA Metz redemption, Puguedo Cio Puguedo, Christian Jelic, to five was Piazza And Josh Young rookie there All right autos now starting from Sapphire. We had Honeyman Gold, Soto, Hurley, Bradfield, Farmelo Radenberg, autos and bowman's best. We had Clifford, Chevely, Tvera, Maloy Clifford, Vargas, Kobe Thomas, Willy Farras, Josh Kassavich, Espinoza Mayella, Guanipa, Anderson, De Jesus, Cartaya, Montez, Delgado, Zavala Javier Ozorio, Gabriel Martinez, Gabriel Gonzalez, Welbin, Francisca, Luis Lara, Camilo Diaz, Yoshida to 99 Had a Coloss, Orvath to 150, Tvera to 150, De Los Santos to 99 Same with Kendall George, Gold Lava, Kenny Gomez, everything else is in a mag So went to the Padres in the random dual relic auto trout and Soto Angels, I'll get you some bad B credit once the break is done here One of one framed auto Bagwell for Houston Auto to five, Jeter for the Yanks Triple automatic, Smoltz, Glavin to 10, Braves One of one patch auto, Will the Thrill for the Giants Really good definitive case actually Bradley Green, Rookie Auto to 10 for the Tigers This is a lot of mags, even for what we open, this is a lot We've opened some Sapphire cases that are not near as hot as that We had a Gold Lankford Bay Sapphire Orange Auto match saw Sapphire selections, man if you thought that's gonna be the last match saw You might be disappointed to see like four more in a second here Here's a Skeens Auto Green match shot at 99, Red, Sapphire, Marcus Brown, Nats There's a Padperasha Castro for the Twins, numbered one of one Orange shot on it at 25, again, Cubs We had a Yellow Sapphire Eldridge for the Giants A Red to 10 auto Roman Anthony for the Red Sox And a Red Nolan Gorman for the Cardinals The moment's best there I think pretty good cases of every product right there About as well as they can go for group break purposes Thanks again everybody, moving on now to football