The squeezing of the leg is not important anyway. It's what you do with your seat and your croix's aids. So, I open my leg and from that open leg, it's possible that if I had to, I could bump them because my leg's already off of them. So I sit up, I tuck my seat, I open leg, and if I had to, I could bump or I could kick if I needed to. I don't want to bump on my horse, but you get the idea.


So if rights are a way in which to deal with adults, you know, pursuing their own happiness, you know, free of coercion and allowed or left free to pursue their virtues, what about children? So why start rights at birth? Why protect rights at birth and why not protect rights at some, you know, some measure of adultery? If you think about birth, so it's often put, I'm sure you've got this argument many times, like it's something arbitrary, birth is, you're just like drawing an arbitrary. What about a minute before birth? Yeah. And it is not arbitrary, birth is, and it's been for hundreds and thousands of years, marked as a major event, because it is a major event. This is when it now, when it is born and you cut the biblical cord, it's, you now have an independent functioning being. It's not an adult yet. It can't look after itself, but you have an independent being. And that's the sense in which children have a subordinate and derivative status. You wouldn't, you're not organizing political society if everyone's children. You're doing it for adults. And the parents then become really custodians of the child's rights. There's a way in which they don't fully have rights yet. The parent has to exercise all kinds of decisions about what will happen to the child, where it will live, how, what it's fed, how it will be educated and so on. It's the parents who are, and they have an obligation. I think once the child is born and is independent, they are then custodians in that sense. And what part of their responsibility is to bring the child into adulthood maturity so that it can exercise its own independent thinking life. And it becomes then fully the, it has rights and they're not exercised by the parents. And the parents don't like what the child's doing. It doesn't matter anymore. I mean, it's an independent, fully functioning being, but you have to see it. It's a derivative.   And you can see like we're descending into, we've got a bunch of five-year-olds and you don't have a political... Running the country. They're not just the people that are running it. So what birth does is it creates this individual, right? It separates. So what about, you know, an hour before? Because I get this as a serious question. What about an hour before? Is it moral and then separately, is it, is it a violation of rights, which would make it illegal? Yeah, I don't think it's a violation of rights. It rights begin at birth because now you have an independent entity. Is it moral would depend on the circumstances? What is happening? Why you're aborting right before birth? Is it because there's a real threat to the mother? Is it because you've detected there's some real abnormality with the fetus or what is it? And if it's completely capricious, obviously it's immoral, but there's all kinds of decisions people make if they do it completely capricious or immoral. Capriciousness in and of itself is immoral. So this is just one instance of it, but it doesn't inform the debate much. And just think, just in this context, how many things parents do to their kids that are immoral? And the government can't come in and say, look, the way you're educating this child is really bad. I mean, I think in many, I mean, in essence, teaching a young child religion is immoral. You should wait till he's an adult and can think about these issues and choose for himself, not inculcate some dogma into him. But I don't think the government can come in and stop people from teaching the child Christianity or Judaism or things like that. So there's all kinds of things that are immoral, that are not illegal. And it's not something distinctive about some case of aborting the fetus. So what realm is the government responsible for the rights of the child, for protecting the rights of the child? I think it's essentially, it's the physical well-being of the child. And so when there's physical abuse, that is, you can say that the parents are no longer acting as the custodian for the child, respecting its rights, bringing it into maturity and adulthood. They're preventing that. And they're actively preventing that through physical abuse. And the state or the government can step in at that point. You could make an argument, I think, that parents have a responsibility to develop the child mentally in a certain way as well, not particular content. But if you really don't teach a child language, it doesn't learn to speak. I mean, it's pretty hard not to do that. You have to lock them up in a closet or something like that. Yeah. So there's usually will be physical abuse in order to do this. But if that level, I think you can make an argument that it's, that's child abuse as well. So it's not about the particular content. It's just not developing the mind at all. I think that's right. So let's see. So somebody says an hour before birth, the baby, it is distinct. It's a separate thing. It just happens to be tied by a cord. But it's not just happens.  Both means something. The baby comes out. It now becomes separate before it's in the mother, literally inside of her. It's not the same thing. You can't take it as, so, and this is where I think there's this intrinsic. It's, so somebody else says, but it has a unique DNA from conception. The DNA is unique to it separate from the mother's DNA. Isn't it a separate entity? Separate DNA doesn't make it a separate entity. A separate entity means it can function independently. It's not biologically parasitical on the mother. So, and this is true. I mean, it's not just about human biology. This is true about procreation for other species is, well, it's at certain points in time. It is not yet independent. And this is why birth, it's not just human birth, perfect in all kinds of when you watch animal shows and so on. It's a major event because now you have an independently functioning thing that is individuated. It's metaphysically distinct. And it's at a certain level, this is perceptual, that it's you've got separate things. And if the argument is, well, they're not really separated, it's all, then at a certain point, it's just you have to look and see. This is, there's a difference between something that's part of the thing, parasitical dependent on it and something that acts independently. And then before birth, it's not independent in that sense.  None of that is relevant because it's still not a separated human being. It's not relevant from the perspective of rights. I've read a little bit of this. I think the science is bogus from what I've seen. And because it's all towards the, you already know the conclusion, we're trying to find ways to prevent abortions. And so here's some data that might, someone might fall for. But the idea that they, that this is established, I do not think is true. But even if it were, what it would mean is maybe they would change the way, the procedure for the abortion. Maybe you give some pain killer or something like that before, if they really, really thought this. And then there were evidence for this, but it would not change the morality of doing it. I think that if it is like, no, we're not ready to have children. We don't want children. We can't afford children. And it certainly doesn't affect it legally. And almost nobody has abortions in the third trimester. Because if you're going through those calculations, do we want a child or not, you do that early. And there is a cost to the mother of having an abortion late. This is not an easy procedure on the mother. So the more you wait, the more difficult it is emotionally, physically and in all kinds of, so it's almost always the case that a third trimester abortion has something to do with either the mother's health or something wrong with the fetus. And they're doing it that. And then I think abortion is a moral necessity. Because to give birth to a human being who's not human, it does not have the capacities of being human. Always going to be like the Zika babies.  They wouldn't allow these women to abort even though the child wanted to was born would be in pain its entire life. And I can't think of anything cooler than that. Yeah. And that's the, so you've put it as there's an intrinsicism involved. That dresses it up philosophically. And religion is a form of intrinsicism, but it's it's commandment and sort of explicitly commandment. I think for the abortion issue, you have to think of it as they've been it's been commanded that at conception, God says there's a soul now, and now it's your obligation and your duty to minister to this and foster it the whole time, no matter what it does to your life, to your happiness. This is these are your orders. This is what's commanded.  And that is the root of it. And I mean, I ran said, and I think this is true. There's no such thing as love for an embryo. There just isn't this thing that is not even remotely yet a human being. It's a potential that is like way far from actual. The idea that it's Oh, I've fallen in love with this. That is that there is no such thing. So what it is is no, I've been ordered that I have to do this and I'm going to be punished if I don't do it. And if you don't do it, I'm going to be punished. That is God said, we all have to do this and you're not doing your part. And that's the motivation for it. And what's what's astounding is, I mean, there are lots of atheists on here who are taking the anti-abortion position. And they're arguing vehemently that they're not Christian, and they're not driven by God. And yet so much of the modern world, the secular modern world, is shaped and driven by Christianity.  They don't even know it because the ideas are so powerful and are being part of the culture in such a in such a powerful way. It's sad. It's sad. And it's this so that we've had 2000 years of Christianity inculcating sacrifice. It's important to get for the abortion issue. So it's, I mean, Jesus on the Cross is the elevation of sacrifice as the moral ideal. And part of what Christianity pushes is the unintelligibility of the sacrifice. So the more unintelligible it is, the better. So if you think it's, I've got to sacrifice for my fellow man. And there's questions you can ask about that that are like, why do I if I've made money, why do I have to give it up for the guy who hasn't made any money? Like, what's he doing? And why shouldn't he be? And once he starts making money, then he has to give it up for other. Like it doesn't seem to make any sense. But if you say, look, no, you've got to sacrifice for God's sake, which is Jesus is somehow redeeming everything. Like he didn't do anything wrong, but he's somehow redeeming our sins and God's eye. Like, how does this work? And he's got son to boot, right? That whole thing is doesn't make any sense. All that you can figure out is, okay, he's suffering. Yes. Sacrificing. What does this accomplish? How does it accomplish anything? You can't figure it out. And that's the so it becomes sacrifice for the sake of sacrifice. So, and if you think of abortion, no, there's nothing actual that's gaining anything.  There's nobody around to benefit. There might be a potential they become. And, and a lot of people are losing. Like the woman or the couple doesn't want the child and has to bring it to term. It might endanger her health, but she has to do it. So the sacrifice is clear that there's someone gaining from the sacrifice? No. And that's part of what, if you really get the way sacrifices have been pounded into us, it's the more intelligible, unintelligible it is, the more, okay, I guess there must be some reason I've got to do this. God works in mysterious ways. So how do we, how do we differentiate between kind of approach the fetus and approach the human being, a coma, or somebody who's old and who is an Alzheimer's or see, or lost these rash, lost his ability to take care of himself? Why does such a person have rights? Well, they have rights. They're again, more similar to a child that they have rights. They were adults and so on. They're no longer capable of exercising their, if you're really talking of advanced case of all time, I've seen some where the person really can't function anymore. They're not able to exercise their rights anymore. And it's either you have someone now who steps in as now I'm responsible for this person and you're in effect treating them like a child. And I'll administer their financial affairs and make sure that they're doing what they're supposed to be doing. And then I'm not wandering into other people's property or driving a car and threatening people. Like I'm taking responsibility for this. And that is, yes, if you have someone who's doing that, then you have someone who's exercising and it's a real issue. If you don't have someone to do that, it's not just, okay, this person's free to go about and can do whatever they want. So they're no longer, when we're talking about an advanced case, they're no longer capable of rational action. And it is then it's, that's not the normal case about rights. But again, if you just think of them, there are these mysterious things implanted by God, then like, did this thing go away? Isn't it still in him? So is he's just like everybody else? And that's not true. Yeah. And suddenly somebody in a coma, that's not true. They, you know, if somebody is paying for them to be kept alive, then they'll kept alive. But the fact is that if somebody stops paying, then yeah, the plug, the plug is somebody says, would you pull the plug on all of them? Yeah, if nobody's paying and nobody, you know, there's no, there's no right to sacrifice my life, my income for them staying alive, right? And why somebody else's labor to stay alive. And you're starting midstream that it's like, would you unplug? No, I mean, one of the reasons to have a living will and so on is to appoint people, if I'm in a car accident in a coma and so on, that someone can step in and make decisions for me and say, yes, he would want to be put on a respirator and see maybe for a month that he comes out of the coma or not. And you appoint someone in advance precisely because you can't exercise it if you are in a coma.  So and then would you unplug the person? It's how does he get on a machine? And that all it has to be, you have to take responsibility for that. And if it doesn't, then there's nobody to do that. And you would die. Alright, so we have a few questions. Adam asks, uncle, could you comment on the insult to homo sapiens that's implicit in saying it's a person from the moment of fertilization by chemistry. It has unique human DNA. It has unique human DNA, but there's it's, I don't know what has been exactly is an insult to homo sapiens, but it's an insult to actual human beings to say that an embryo is you're just like an embryo. You're not just like an embryo, you're not even close to it that and this was one of the things that I think I ran found particularly shocking and it tells you that there's a non-rational mystical element in play. Nobody would equate a potential with an actual nobody wouldn't equate a embryo with an adult human being. And if you think of it in other areas, I mean, nobody equates you've got a resort, some materials, metals and so on in the ground with a corvette, like it's the same thing. It's just, no, one is potential if an enormous process is happens that you can convert all this into a functioning atom of it. They're not the same thing. And to equate them as though, yeah, no, they're just the same. You don't think of that in any situation except for here.  I mean, that would be bizarre. The fact that it has a unique DNA, okay, you know, it doesn't doesn't add or detract from this discussion at all. What we need today, what I called a new intellectual would be any man or woman who is willing to think, meaning any man or woman who knows that man's life must be guided by reason, by the intellect, not by feelings, wishes, wins or mystic revelations. Any man or woman who values his life and who does not want to give in to today's cult of despair, cynicism and impotence, and does not intend to give up the world to the dark ages and to the role of the collectivist roads. All right, before we go on, reminder, please like the show. We've got 163 live listeners right now, 30 likes. That should be at least 100. I figured at least 100 of you actually like the show.  But, but at least the people who like it, you know, I want to see, I want to see a thumbs up. There you go. Start liking it. I want to see that go to 100. All it takes is a click of a click of a thing, whether you're looking at this, and you know the likes matter. It's not an issue of my ego. It's an issue of the algorithm. The more you like something, the more the algorithm likes it. So, you know, and if you don't like the show, give it a thumbs down. Let's see your actual views being reflected in the likes. But if you like it, don't just sit there, help get the show promoted. Of course, you should also share. And you can support the show at urunbrookshow.com slash support on Patreon or subscribe star or locals and show your support for the work, for the value. Hopefully you're receiving from this.  Right. So, yes, like, share, subscribe, support, like, share, subscribe, support. There you go. Easy. Do one, all of those, please.


Family Theater presents Mitzi Gaynor and Lyle Betker. From Hollywood, the Mutual Network in Cooperation with Family Theater presents God in a Red Scooter, starring Lyle Betker. And now, here is your hostess, Mitzi Gaynor. Thank you, Tony Lafranco. Family Theater's only purpose is to bring to everyone's attention a practice that must become an important part of our lives. If we are to win peace for ourselves, peace for our families, and peace for the world, Family Theater urges you to pray. Pray together as a family. And now to our transcribed drama, God in a Red Scooter, starring Lyle Betker as Ed. Sleep is beautiful. Sleep is a soft hand smoothing the frowns and frets on the tired faces of men. Sleep is a mother hand rocking the cradle of the world, rocking it softly, rocking men and women and all the little children to sweet silence and peace. That's what sleep is. Do you want to know something? I pity the man who does not know how to sleep. Consider little Eddie. I love children like Eddie. Eddie knows how to sleep. Before he went to bed, he was having a talk all by himself down there in the garden. This is the way he spoke this afternoon as he sat dropping pebbles into a milk bottle. Know what I said, God? Know what I said to Daddy? I said, God did hear me. That's what I said. And God, remember when I said, please give me a Red Scooter like Stevie and Tony Scott? Remember when I said that about the Scooter? Didn't you hear me, God, huh? Didn't you? Look, God, I've got lots of pebbles, whole million. See what I mean? See why I love little children like Eddie? He wanted a Red Scooter, went to sleep dreaming of a Red Scooter. Did he get the Scooter? Well, I'll have to tell you the whole story. In a manner of speaking, the story begins with grapes. There, from this hill you get a pretty good idea how it looks, Jeannie. The vines are beautiful, Ed. Nice dark green. Here, let me hold Eddie for you. Be careful of his back, Ed. So wiggly. I got him. Is that our land all the way to the road? Yep, straight clean to Route 99. When will the grapes be grown, Ed? Oh, three years. Takes at least three years. You know what it's going to be like down there. What? Well, they're going to be out there on the wire trellises, those grapes. They're going to be hanging thick and heavy near the redwood stakes. And when the harvest comes, we're going to be packing in, well, well over 200 tons of the best red emperors in California. It's almost like a miracle, Ed. Yep. Eddie, you'll be three years older when we start picking our grapes. Yep. It takes time for kids and grapes to grow. These plans, these husband-wife plans men spoken in sunny places are delightful, invariably delightful. But I must repeat, I pity the man who doesn't know how to sleep. Listen to him. I don't know. Maybe I made a mistake. It's a risky business. It's a gamble putting all your money into grapes. This man is worrying, mind you, at one o'clock in the morning when he should be asleep with his wife and babies. You'd think the gentleman might allow himself the gentle privilege of getting tired. By one o'clock in the morning, you'd think he might yawn and go to bed. Why doesn't he stop fretting? Why doesn't he relax, poor fellow? I pity the man who doesn't know how to sleep. You're not getting enough rest, Ed. Now, don't start fussing again, Jane. But you're losing weight. Eddie, grapes aren't everything. Not if you're going to keep losing your health and everything. That's what's worrying you? Yes. Look, Jeannie, every cent we own is in those grapes. And right now, this minute, I figure we got over 230 tons in those vines. They're ready for the lug boxes in three weeks. Now, if anything goes wrong with those grapes, Jeannie, well, it's going to put an awful big dent in things. Nothing's going to be wrong with the grapes, Ed. Yeah, a lot of things can go wrong with them. The trouble with you is you haven't enough faith in God. Now, don't go into that again. Maybe if you got down on your knees once in a while... Listen, Jeannie, you do the prank and let me look after the grapes, will you? That's the way it is with some people. Their heads are forever spinning plans and projects. You'd think Edward might have a little more confidence in me. You'd think he'd stop worrying for the space of a quiet sleep. And let me look after the grapes. I have a way with grapes, with vines, with branches. Understand me, I'm not against plans and projects. I find no fault with a sweat on a man's brow. Labor is a magnificent and courageous thing. I'm talking rather about something that is more courageous than labor. About confidence, about trust, and faith in me. I like the man who sleeps. I love the man who, like a child, can rest easily in the arms of my providence. But not so with Edward. Edward is too full of plans, as if the plans of men were merely the plans of men. Listen to him. Now, look, Campbell, I'm ready to start now. Those grapes can't wait. Where are the pickers you promised me? We're coming up the valley as fast as we can, Ed. Don't blow your top, man. You got enough pickers for me? All you need. Only give me time. How soon do you figure to make it? We'll be cutting your vines by the 17th. I'll guarantee that. Okay. Only you make it fast. As fast as I can. I like vineyards. Vineyards in the fruit of the vine, thick clustered grapes, all bursting black and purple in the harvest time. These are among the lovelier aspects of my creation. I bear no grudges against vineyards, having regard for the littlest grape. But once in a while, by design, clouds will gather, for reasons sufficient to the ultimate purpose of things. I gather a breeze at Burbank and scoop a cool breath from the high sierras. Northeasterly, my gales go playing with canyon dust, with the sea sands at San Diego, and quite suddenly, quite perceptively, there is mist in the Midlands, and in the valley of San Gabriel, and over on the mountains, and down from the mountains, down around the flatlands of San Fernando. Nor is it any surprise that there is mist also in the eyes of a woman in Fresno. It won't rain, Head. Don't keep staring like that out of the window. You heard what it said on the radio. That's just mist. You know how it is with mist. They come and go. They'll be dry tomorrow. The grapes will be dry. Wait and see. Listen. It's only a little flurry of rain, Head. Listen. God won't spoil everything by letting it rain now. I know he won't. God, don't let it rain. Yeah. God won't let it rain. Oh, Eddie. Don't let it hurt you. Three days. Three days to harvest, and look at it tonight. You work for years, prune, cultivate. You put every cent you own into grapes, and what do you get? Wash out. A man ain't supposed to cry. Yeah. A man ain't supposed to cry. Believe me, I hold no grudges against vineyards. I like vineyards. But more than all the vineyards in the world, I like man. I love man. I know man well. Yet never do I cease to wonder at him, capable of so much of kindness, of charity, of sacrifice, and yet so often incapable of hope. All things you can ask of him at times, save this. A little faith. A little confidence. It was so with you, Edward. It was so with you, those nights. Tony and Stevie's got scooters, Mom. I know, Eddie, but you don't want a scooter. I want a red one. Maybe on your next birthday you'll get one. Tony and Stevie's got scooters and... Oh, no, no, baby. Stuff.  You just pray to God, and next year he'll send you a scooter. God, send me a scooter tomorrow like Stevie's got. Red one. I don't want to wait till next year, God. Hurry up and send me a scooter. Did he hear me, Mom? Hello, Ed. Daddy, did God hear me? What are you talking about, Eddie? I asked God to send me a scooter. Did he hear me on account of it's my birthday tomorrow? I wouldn't know, son. I wouldn't know too much about that. It's a red one. You're tired, Ed. Maybe God left it in the yard already. You've been giving him ideas about birthday presents? He's been asking for that scooter for over a year, Ed. You know that? Well, tell him to stop asking. Ed, you... You've changed so much lately. Sure. I know enough now not to go around asking God for scooters. Maybe I should ask him for a rebate on 26 acres of slipskins. Well, supper's ready. I saw Campbell today. We're ready to pick in a week. My second harvest. It'll be a good one, Ed.  I'm only banking on red amperors, Jeanne. Not red scooters. Look at those grapes piling up, Campbell. Those are big lugs. Great crop!  Gonna set them up there on that hill and let them look at a real harvest. That's worth looking at, ain't it, Campbell? Jeanne! Oh, Jeanne! Got a surprise for you and the kids. Hmm. Wonder if she's lying down again. Hey! I knew I'd find you in here, lazy bones. Jeanne, I want to take you in. What's the matter, Jeanne? Tired, honey. Say, you don't look good. You don't look good at all. Maybe I better get Doc Hanley for you. Wait a minute, Ed. It's funny. Somehow I've always had a feeling I'd be lying here like this. Talking here like this. Telling you sooner or later. What are you talking about? And I'll be leaving you for a while. Now look here, honey. You're just run down. Doc Hanley will fix you up in a jiffy. Come here, Ed. Sit down in the bed. What? Now look at me. Do I look scared? No, you don't look scared, but you do look as... All right. Now listen to me. The sheets are in the closet downstairs. And the kid's laundry. You'd better send it out every week. Mrs. Abel... Jeanne, what are you talking about? Maybe you better stop praying for me. Just don't leave me alone, Eddie. Don't leave me alone. Just keep praying for me. Maybe we'll still take that trip someday. You and me. Let's go to the first class. I'll the way to Holland. See the tulips and kids with the wooden shoes. What about it, Doc? As far as I know, and remember I'm only one doctor. There's nothing much that can be done for Jeanne, Ed. All right. I'm gonna get her. Doc, I'll get the best specialist in this country if I have to. Go right ahead, Ed. Oh, by the way, you can go in and see her now. She's conscious again. Hey, you're looking pretty good, Jeanne.  Hi, the kids. Good. Listen, Jeanne, I was just talking to Doc Hanley and... I know, honey. It's all right. Jeanne, I'm gonna get you the best specialist in the country. Ben? Yeah? I asked you to do something for me once. Remember? Okay, Jeanne. You asked me to pray. Not that way. All right, now look. If I have to kidnap a half dozen of the best doctors, I'll do it. You're gonna get better, Jeanne. You hear me, honey? You're gonna get better. You'll be out of here before you know it. Excuse me for barging in like this, Doc. What did you find? They're doing everything possible, Eddie. You'll have to be patient. Yeah. That's what everybody says. Be patient. Why don't you go home and rest? Get a little sleep. Sleep? No, not now. I can't sleep now. I don't know the words you're supposed to use, but God, it's from the bottom of my heart. I'm praying for Jeanne, my wife. I can't lose her God, not now. We got kids. Three kids. And we're trying to make a go of it with grapes. Now, you gotta hear me, God. You gotta make Jeanne well. Please, God, I'm... I'm asking you from the bottom of my heart. What's her chances now? Sorry. I think you'd better be prepared for the worst. You mean... there's no chance. She's getting weaker. I'm sorry, Eddie. I see. I understand. Okay, Doctor. What's the matter, Daddy? Oh, nothing. Mom's sick, huh? Yes, son. Why don't you ask God to send Mom home, huh? Want me to ask God for you, Daddy? Maybe God's got cotton in his ears, Eddie. Cotton? Yeah. You can't hear so good with cotton in your ears. He can hear me. That's all? Yep. Once he didn't hear you, Eddie. When? I asked him for that scooter. Yeah. Red scooter. Yeah. Well, God didn't hear your prayers, then, Eddie. Yes, he did. God did hear my prayers. Eddie, come over here, son. Up on my knee. Now, what did you say? I said, God did hear my prayers. That's all? What did he say to you? God said, he said no. Sometimes God says no, huh, Daddy? What's the matter, Daddy? What's the matter, huh? Hello? Yes, yes, Doctor. What's the news? Well, we wanted to let you know that you're... Hello? Hello? Doctor? Doctor? Operator? I've been cut off, Operator. Get me Mercy Hospital. The line's dead. Stay in the garden with the kids, Ed. I gotta go to Mom. How to pray, dear? I tried, Gene, so help me, I tried. Oh, you can't die, Gene. Not alone. Not up there in that room alone.  Sometimes God says no. Huh, Daddy? All right. All right, God. Listen to me, please. Sure, I wanted Gene to live. When... I just love somebody. You don't want to see them die. You want to have them... You want to have them close enough to put your arms around it. Okay, maybe I did want to... Maybe I did want you to say yes. Just like I wanted you to say yes, that first harvest. Sometimes God says no. Huh, Daddy? And sometimes you say no, too. If... If that's the way it's going to be, only listen to me now.  Without me. Hear me, God? I can take it. I can take anything. Only just don't let it be all alone for Gene. I'm asking you, God. Honest to God, I'm asking you. Hello, Eddie. Honey, you're not... What's the jubile, honey? Well... You're smiling at me, Gene. You're... You're looking at me and... Talking to me. I'm really feeling much better today. Come put your arms around me. Stop looking like a baby. Oh, honey. Maybe... Maybe God has said yes. Maybe God has said yes. Gene, maybe he's saying yes. The night tonight is beautiful over California. The night tonight is beautiful over California. For the first time in a long time a tired man sleeps. Resting at last in the shadow of my hand. He sleeps. I might have said no. I have said no to some of my loveliest children. My best beloved. But know this always, Edward. There are times when my refusals are necessary to a plan you cannot understand. The little Reddy, being wiser and his innocence seems to understand. That storm upon your vineyard, the storm that drew your curse was blessing to a thousand other Edwards and pasturelands parched by the drought 600 miles to the north. Tragedy, the tragedy of today is but the pruning and the preparation of a lovelier tomorrow. Yes, there are times that I have said no. As many fathers have said no to their dearest their best beloved children. But tonight tonight, Edward, I have said yes. O night rest lightly on the tired eyes of the man.  Our Father Lord in heaven Lord is with thee and blessed is the fruit and and give us this day our daily bread and ever and ever Amen. Send me a school like Stevie's got. I tell you, I have seen all the beauties of my creation.  The small lips of a child fumbling with prayer getting it mixed up, getting it tangled, sweetly muddled with sleep. Listen to him. A red scooter, huh God? And all the while the soft fingers of sleep smoothing his eyelids closing them easily. A red red scooter. Oh God. All right Eddie it will be a red scooter I have wielded Eddie. Now sleep Eddie sleep. This is Mitzi Gaynor again. In everyone's life there is an interesting story. A story that tells not only what has happened to us but a story of our doubts hopes and desires our personal life story. And in each one's life there is a reaching out a seeking for happiness. All of us long for the joy that comes from friendship and kindness and love. We all seek for peace and understanding. Would it not indeed be a better and more wonderful world if in every family there could be found true love and understanding and joy. There are many influences that in one way or another can turn or shape our way of life. But the most important influence in our life is love of God. The basis of our love of neighbor the inspiration for our tolerance for our faith in our fellow men. It gives us the sublime power to rise above petty difficulties and differences. It brings to our homes and children a true appreciation of the purpose and meaning of life. And the simple expression of our love of God through family prayer brings the most wonderful blessings on our homes because the family that prays together stays together. This series of Family Theatre Broadcast is made possible by the thousands of you who feel the need for this type of program, by the Mutual Network which has responded to this need and by the hundreds of stars of state screen and radio who give so unselfishly of their time and talent to appear on our Family Theatre stage.  This is Tony LaFranco expressing the wish of Family Theatre that the blessing of God may be upon you and your home and inviting you to join us next week when Family Theatre will present West of the Pekus starring Peter Loughard Walter Brennan will be your host. Join us, won't you? Family Theatre has broadcast throughout the world and originates in the Hollywood studios of the world's largest network. This is Mutual, the radio network for all America.


It's a pleasure to be here and it's a joint work with Iqmar and with Band Puhala from Ahen. So in the last talk you have seen multiplayer games and this is somehow a follow up for the general motivation which is to get some understanding of multiplayer games and in this talk for multiplayer games with imperfect information. And I think Roma has given enough motivation for this. So multiplayer games are a great model, very powerful. They arise in economy and biology and we were many of these games are games with imperfect information but the price for this powerful model is that computationally these are very difficult games to study, very difficult to solve. So some of the issues you maybe know are so in multiplayer games it's really difficult to say what does it mean to win? So in the last talk they studied Nash Equilibrium. This is one notion of winning but this is just one of possible notions and you might ask which Nash Equilibrium what do you really mean by winning? But then when you add imperfect information you also have this problem. So how do you describe it? What does it mean that a player knows something and then there is the next problem. So what does the player really need to know to play good? So for a Nash Equilibrium if whatever I do I lose terribly then maybe I don't need any knowledge. So these issues come together and we tried to somehow separate them a little bit so we wanted to focus on the issue of imperfect information and that's so we decided to study a special kind of multiplayer games where you have n players but they all want the same thing. They have just one goal, a common goal for all the players and they have to enforce it against nature. So against one adversary who knows everything, has perfect information and can do everything. And so this problem maybe directly reminds you of distributed synthesis and that's why we named the games distributed games. So let me introduce them a bit more formally. We have n players and nature and then each of the player has a set of actions, a finite set and the common action of all players. We denote the set A, it's just an action profile where everyone makes an action. So now the game we describe it as a graph where the nature resolves the non-determinism. So there is a move relation and the information of the player is given by equivalence relations for each and every player. So here is an example and you can see well the notes of the graph, the action profiles of two players on this graph. So from the first note, both players can just take the bottom action and the nature chooses one of the four successors and then afterwards the player chooses some actions and then the equivalence relation for one player is drawn as dashed lines. So one player cannot distinguish this A0 note from A1 or end B0 from B1, they are indistinguishable and then I don't know if you can see the other equivalence relation which is dotted. So the other player cannot distinguish A0 from B0 and A1 from B1. So please think that there is an equivalence relation here and here. So two equivalence relations and now a strategy for a player is a function from sequences of notes from the play giving an action and it has to obey the information meaning if two histories are indistinguishable for the player it has to give the same action. So now I want to look at this example game in a bit more detail. So the idea of this game is that one of the players can only see the digits and one of the players can only see the letters. In the first move it's the nature that chooses both the digit and the letter. Oh yes, I think that's better. And then in the next move it's the player who chooses and the player 0, the first player chooses a letter and the other player chooses a digit and all the way one player is informed only about the letters that have been played and the other player is informed only about the digits. So the strategy of one of the players is after seeing a sequence of digits of which I generate every second and every other one is generated by nature I play a digit and for the other player it's the same but with letters. And now the winning condition for this game, so the play is a sequence of pairs, letter and a digit as you see in these notes first generated by nature then by the strategies of the player then we go back to the top node then again we have a letter and a digit generated by nature then again by the strategies of the players and so on. And then the play is won by the coalition of all players if the sequence belongs to a let's say regular winning condition. And the question we ask is can we find a winning strategy profile? And then this example is good because it's relatively easy to see that you can take a Turing machine and construct a winning condition W such that the players will be winning only if they can construct a halting run of the Turing machine. So this is just to make this first remark that this problem in general is undecidable. It's a well-known thing from distributed synthesis. So if you can do something like this split the two players and make them play you cannot hope for decidability but the thing we want to do is we want to look a bit more into why does this happen and what is the information the players have and maybe for what kind of specific winning conditions can we do better? So what can be done in this setting in general? So to have a better understanding of what is the information the players possess in each step we will track what they know and to have a description of the knowledge of the players or what they think they might know or what they think their opponents know and the players they play with and what other players know they know they know about them and so on. We will use Kripka structures epistemic models which consist of a set of nodes connected by equivalence relations so for every player we have a relation telling which situations which world are undistinguishable and our epistemic models are related to the game at hand meaning every node in the epistemic model has an associated vertex of the game which because this node represents a position which is in this point in the game. So for example in the game I presented you here this first row is actually this epistemic structure right. There is one player who knows whether it's an A or a B and another who knows whether it's a zero or a one that's somehow the situation after the first move in the game. And now let's say we arrived at a situation which is described by such an epistemic model so we ask what is the next knowledge of the players in the game? What's the next epistemic model? So since we consider all of these states possible and let's say we have a fixed action profile for the players so from each and every of these states you take an action the action prescribed by the profile and then the nature might choose a number of possible successors. So the epistemic model grows by splitting each and every vertex into the possible successors the nature chooses. So here is a definition as you see if you want to compute the next epistemic model you take a position of the one you start with and take all possible next vertices. And then the labeling is as it should be with vertices and the equivalences are well what you can distinguish you do distinguish. Now it might happen in this definition that you arrive at two epistemic model which are not connected by the sum of all equivalence relation which means they are distinguishable for all players. And these we will consider as separate positions because in everybody in our coalition already knows we are somewhere else we can safely think it's another position and then given a game and starting vertex we will unfold this construction we start from a vertex it's a one note epistemic model and we unfold it look at the next epistemic model and the next one and the next one so on. So here is a formal definition but let's look at this example game we had. So let's start at x so this is our first epistemic model this is the next one then since the players just chose their letters well this is just one of the possible next models. They could have chosen in all of these possible states a different letter right so this is just one of the models and now the game goes back to the top and then the nature makes the choice again this is the another step and now you can see one of the player knows that it's 0 that it was 0 0 or 1 1 or 1 0 but he has to consider all the options for the other player and in this way these models simply grow and grow this cannot be avoided. So this epistemic unfolding of a game here is the complete view well you start with the single epistemic model unfold this position and so on now one thing to note is in the game you had just a set of actions for each player a finite one in this epistemic unfolding on every level here when the players choose an action I mean they choose an action profile for every vertex in the model. So now the branching of this game grows at every level it's bigger and bigger. So it's a bit of a weird thing a game not with a fixed finite set of actions but with a growing or infinite one but still it's a finitely branching game and this is a game of perfect information. So in this way by simply collecting the knowledge of all players we unfolded a perfect information game to an imperfect information. Now okay the theorem you might expect is the following if the grand coalition has a winning strategy in the original game it has a winning strategy in this perfect information unfolding game and vice versa and the proof of this theorem is not very surprising you track the strategies to look at a few technical things. Now the problem of course is that this unfolding this tracking is an infinite structure. So we have taken a maybe undecidable game and built an infinite one which is a simple game a perfect information game but what we would really like to do is for this tracking game to be at least manageable for simple cases. Maybe the example we had maybe you can't do much it's undecidable in general but at least for one player games this should not be so big. So here is an example of a very simple game just one player and the information sets grow and grow while this is actually not necessary I mean you could just store the set of notes where you are and that's the only thing you need to know. So to correct this problem we will quotient the Kripke structures by homomorphic equivalents and now just to remind you I think this was luckily already introduced today in the invited talk so two models are homomorphic if there exists a function which so if there is a label in the first one there has to be one in the next and they are homomorphically equivalent if there is a homomorphism from one to the other and a homomorphism from the other to the first one but they don't need to satisfy anything else they just have to exist and the core of a model the core of the Kripke structure is a homomorphically equivalent structure with the minimal number of elements and now it's first of all not clear whether there is just one or maybe many structures with minimal number of elements but in fact you can prove a theorem that there exists a unique core for every well for every graph and for every epistemic model as well and so just to give you an example we had this structure this square with two equivalence relations and the core of this if the labels are the same it's just one note right the homomorphism well on the one side everything falls here the other hand just embed okay so now the idea now is to take the epistemic unfolding we had and quotient every structure that appears there by core but this epistemic unfolding is a game it also has edges and it has a winning condition where you have to look at the paths through the place so now when you just quotient it wouldn't be clear where the path should follow so the actual definition is a bit more involved so we take the definition again and then say from the next step model you'd make the move and then you quotient it's just a technical thing to to make sure that you can follow the the place through the models because well when is a play in now winning a play is a sequence of of Kribka structures so it's winning if all of the small plays through the through the sequence were in the old winning conditions now what does it mean a small play through the sequence well previously it was quite clear it just means meant it's connected with the edges now it's you have to look at this homomorphism which comes from the core so we go to the next state and then the homomorphism tells you where to go so the winning condition is is a bit involved but that's that's how you define it okay so now when we quotient by by core but by actually by any homomorphic equivalence we get indeed much smaller tracking games so let's get back to this example again we start from the root so as you've seen this this is the next structure and then when we get back to the top we we had this structure previously and then it grew to a to the larger grid but now since we quotient by core we we actually don't get this structure but simply the root so I've drawn the loops they've been there all the time right these are equivalence relations meaning they are always well and then from here we we get back this structure and so on but that means in fact we we repeat a cycle here right okay then there are some other site possibilities but all in all we we get a finite perfect information game so this means a game we can solve so as you can see there is probably some problem with undecidability but the theorem so the theorem will not be as general as the previous one so the equivalence now will only hold for observable winning conditions and an observable winning condition you can think of it as one given by a labeling which is seen by all the all of the players alternatively if you look at the information structure it is something which is uniform on all of these connected crypto models meaning the if there is a color a label it it's the same for for the whole structure in the state it doesn't depend on the on the particular note so for observable winning conditions our theorem is the the grand coalition has a winning strategy in this original game if and only if it has a winning strategy in this core unfolding and now the proof idea is again to translate strategies but the tricky point somehow starts at the moment when you quotient through the core so imagine there were some plays we played played and there was one play going to this note and another going here and now maybe the winning strategy for the for the whole game decided to do one thing here and something entirely different here because the information that well maybe we are somewhere else maybe one player really uses the fact that he knows something important here and and does something really different in the core while we have put this all together so we well choose just one of these possibilities and now why so for example this play would be if someone played here and then continued playing this way well it's somehow the play has been cut and changed why is this still okay because we can find some play that would be this one in this case which goes through the same Kripka structures through the same sequence of structures and well this small play was winning by by by assumption so the coloring of this sequence of Kripka structures is right and this gives us the the result that since the condition is observable we just care about the sequence of structures and and well that does the the play in the core is is is winning as well okay so what can we what results can we derive from this construction so it's a bit of a general construction but does it imply something so one previously known result is that when the games are hierarchical meaning the one equivalence relation is a subset of another and the subset of another and so on then one can solve games of imperfect information of this kind and indeed if you just look at what kind of Kripka structures can you get if the relations are hierarchical then it turns out if there are n players and and the hierarchical structure of equivalence relations there are at most and and fold exponential so two to the two to the two n times many Kripka structures of this kind which means the the quotient by core of of any game of any hierarchical game will be a finite graph which gives us this corollary that hierarchical games with observable winning conditions for such games the the question whether the grant coalition has a winning strategy is decided so this this lemma is actually you just need to count and then you get this corollary for free from from our result okay so that's basically it I think the the notion I really want you to to remember from this is is the epistemic unfolding which you can do for for every n player games with imperfect information but for observable winning conditions you can quotient it by homomorphic equivalence and it will still be okay and much smaller and of course there are several open questions here so one question is definitely if the games are not coordination games if there are many winning conditions you can do the same construction but what should you look at what what what are the results but maybe even a more interesting question is for example hierarchical games can be solved even for non-observable winning conditions with with automata methods so can we can we solve them as well with quotients maybe we should use something else than a core maybe some other homomorphic equivalence and what we suspect now is more than maybe for every regular condition you should use a different quotient so maybe there is one good for for every condition but maybe not one good for all of them so this is something for for future work and I think that's it thank you


The Sisters, starring Miss Frances Farmer with Miss Kathy Lewis. A tale well calculated to keep you in suspense. Here is a very lovely item. The lining is pure silk. Yes, that's very nice. But I believe I'd like to see something perhaps even a little better. Oh, of course. If you will just step over this way, Miss Haskell. Now, here. Here is an exquisite casket. Something that really honors the departed. It is beautiful. Now, the interior is just the same as the last one you looked at, but the casket itself is a bronze, solid bronze. And notice particularly the seams, guaranteed airtight and watertight. You know, of course, how important that is. Oh, yes, of course. In a hundred years or even two hundred years, this casket will be just as strong and look just as beautiful as it does on this stand today.  How much would this one be, please? This casket, a durovo, by the way, durovo for durability, as we say in the trade, is expensive. But it is such a solace to know that one is given the dear to part of the finest possible last honor. This durovo is priced at $750. Very well. I'll take it. I'm sure you'll never regret it. In all my years as a mortician, I've never found a family that has not been completely satisfied with the durovo. And now, do you wish us to handle the funeral arrangements? I don't know yet. If you'll just hold the casket here for me for a while, please. Hold it? But for how long? Not more than three weeks. I don't understand. Who is the party, the deceased? Who is the casket for? It's for me. Lydia, where have you been? You've been gone all afternoon. I've been shopping. Did you get me some ribbons? No, I didn't have time. Oh, I wanted some new ribbons. My others are all worn out, see, Lydia? Ellie, I wish you'd stop putting ribbons in your hair like a schoolgirl.  I know, Lydia. I know. Then try to act like it. I wonder why we have to grow old. Wouldn't it be wonderful if we were young like we used to be? Well, we're not, Ellie, so stop talking nonsense. It is nonsense, isn't it? Indeed it is. Oh, the doorbell rang while you were out, just before you came home. You didn't answer it? Oh, no. You told me never to answer it. I just looked out of the upstairs window. Did you see who it was? Yes, it was a man, a rather big man. He rang a long time and then he went away. He didn't see you, did he? Oh, I just peeked ever so carefully from behind the curtains. Then I came down here and watched him going down the walk. You came downstairs? Yes, I... I told you never to come down those stairs when I'm not in the house. It was all right, Lydia. I held on very tight to the banisters all the way and I didn't once look down the stairwell. So I didn't get dizzy and I didn't want to jump. Well, don't do it again. I won't. I promise. What did you buy today, Lydia? A deravo. What's a deravo? Don't ask so many questions, Ellie. Lydia, I think I'll sew a while. I could fix up some of these old ribbons. May I, Lydia? Yes, sew. It will be good for you. Thank you, Lydia. Yes? Could I go shopping someday?  I'm sorry. I just thought... No, I suppose you're right. It wouldn't do. Not yet. There wasn't any mail today. Wasn't there? No. I thought perhaps there'd be a letter from David. It's been such a long time since he's written. I haven't noticed. Oh, yes. He used to write every week on Tuesday and I'd get the letter on Thursday. But there wasn't one this week or last or the week before that. It's strange, isn't it? But perhaps he's been busy. Perhaps. Stop singing that. Stop it. But Lydia, it's my favorite hymn. Well, learn another one. That's all you sing day and night, day and night. The same tune over and over and over. Now stop it. Yes, sometimes you frighten me the way you look at me. You make me think that perhaps I'm not getting well. Perhaps I'm still crazy. I'm not. Am I, Lydia? I'm not so crazy. Good evening. You miss Lydia Hastel? Yes. Well, can I speak to you for a minute? Well, I don't... I was here this afternoon. There was no one home. What is it, please? I'm from the police department. Oh, really? I don't see what the police would want with me. But come in if you wish. Thanks. Miss Haskell, we got a call this afternoon from Done Brothers, the undertakers. And, uh, well, you've got to admit it's sort of unusual for a woman to order a casket for herself. Unusual? I've heard of many cases of that kind. People who are alone in this world with no one else to look after things. Sure, I, uh, I know. Only it's a little more unusual when you can name the date. The undertaker said you wanted the casket held for three weeks. Why, three weeks? There must be some reason for that. There he is. I'm going now. There he is.  I shall die in three weeks, or perhaps even before. That's why I ordered the casket. You may call it, uh, a premonition, if you like. Maybe I can also call it suicide. I don't know whether you know it, but suicide is a crime in the eyes of the state. For which there is no punishment. Yes, we'll know, but our job's to prevent it. I have no intention of taking my own life. There is no need to do so. Since I know I'm going to die. I don't quite understand that. I didn't expect you to. Miss Haskell, do you live here alone? Yes. No relations, no housekeeper? I live alone here. And now if you're finished with your impertinent questions... I'm sorry, Miss Haskell. I'm only doing my job. I was told to find out why you bought that casket. Then I think we may assume you have found out. I guess so. Sorry I had to bother you. So am I. Good night. Oh, Miss Haskell, how are you going to die? I don't know. Nor do I consider it important. Why should you? Oh, good night. Good night. Ellie, what are you doing sitting on the stairs in the dark? Lydia, why did you buy the casket? Why are you going to die?  I'd be alone if you died. Go up to bed, Ellie.  Promise me you won't. I promise you. Now go to bed. Why did you buy the casket? Why, Lydia? Why do you want to die? I don't want to die. No one does. You have such a lot to live for, haven't you, Ellie? Yes, I have, Lydia. I've been happy. You've made me happy. And someday when I'm well again, David will be waiting for me. You know he will be. You've always told me he'd be waiting. And he'll see that I'm well again. And he'll take me back. I know he will. I'm not that much older. David won't see me as old. He told me that when I was well, no matter how long it took, he'd still see me as a young girl. Haven't you learned yet?  No. No, I'm getting better, Lydia. You know I'm getting better. Yes, putting bows in your hair, sewing ribbons all day long, sneaking about the house at night, spying on me, singing the same hymn over and over and over until I think I'm going mad, too. Yes, you're getting better. Is that why you want to die? To get away from me? I thought you loved me, Lydia. Why should I love you? I gave you the best of everything I had. I've given you my whole life. I even gave you David. With David, he came to our house. You, he came to see. Yes. But I had to stand by and watch you take him from me. And when you had your first attack, I was glad. People said what a shame it was, but I was glad. Because I knew then that he could never have you. Oh, yes, you were going to be cured and he was going to wait. But it won't matter now how long he waits, because you'll never be cured and he'll never have you, never. Bring me here so I'd be cured. You wanted to keep me this way. Mad. That's why you took me out of that place. Because they might have made me well again. Go upstairs.  Was it for yourself? Or is it for me? Ailey. What a dreadful thing to say. Yes.  It is for me.  Ailey, you're my sister. My twin sister. And you want to get rid of me because you hate me. Yes. Yes, because you love David.  And they'll think it's you. Ailey, you are mad. It's you who is dead. Because no one knows I'm living here. And then you'll go away. You'll go back to David. And you'll say that Lydia has died. And he'll think you are me. And that I'm well again. And he'll marry you. You'll have him. You'll be Ailey. And you'll have my David. And you hear what I said?  Lydia, how can you be so wicked? She's just pretending to be asleep. She's lying over there on the other side of the room staring at me through the dark. She knows it was the truth tonight.  And now that she knows it will have to be soon. And it mustn't look like murder. No, it mustn't. How? How shall I do it? That hymn. That hymn. I could kill her for that. Just for singing that hymn. I could kill her. But how? The stairs. The stairwell. She gets dizzy if she looks down into the stairwell. Yes. Three floors straight down. The stairwell, of course. Ailey. Ailey.  Do you hear me? You mustn't be afraid of the dark. Here, I'll light the lamp for you. There, dear. That's better, isn't it? Why, you're shivering. We'll go down to the parlor and light a fire. And I'll make you a nice cup of hot milk. Come, Ailey. No.  Mommy. I'm your little Ailey. Now, come, dear. I'm your rapper. Put it around your shoulders. That's my little girl. Get up now. Give me your hand, dear. Now be careful. Walk slowly. There we are. Now hold on to the banister, dear. That's right. I'll hold the lamp up high so you can see better. I'm afraid. The stairwell. Ailey, you must get over that fear. Just look down. There's nothing to frighten you. Look down the stairwell, Ailey. I'm holding you, dear. Just lean over and look down. Don't make me look. I can't stand it. Come closer, dear. Lean over. Lean over, Ailey. Look down. Look down.


Live from San Diego, California, it's theCUBE. Covering Cisco Live US 2019. Brought to you by Cisco and its ecosystem partners. Hi, welcome back to theCUBE. Lisa Martin with Stu Miniman, covering day one of Cisco Live from sunny San Diego. We're pleased to welcome back a couple of our alumni. To my right, Eric Herzog, CMO of IBM Storage. Eric, it's always great to have you and your fashion choices on theCUBE. Always wear a Hawaiian shirt for theCUBE. I know, it's a thing. And we've also got Everest's main, so a general manager of IBM Cloud Private Ecosystem. Everest, it's great to have you back on the program. Thank you very much. Delighted to be here. So guys, here we are, we're in the DevNet zone. Lots of collaboration, lots of conversations. Day one of Cisco Live, but this event's been around for 30 years. Long time. I think Chuck Robbins said this morning, what also turns 30 this year is Tetris. Anybody a big fan of Tetris? So much progress, so much change. I know you've seen a lot of it. Eric, let's start with you. The global economy, what are the impacts it's having on IT? Well, I'd say the number one thing is everyone is recognized and the most valuable asset is data. It's not gold, it's not silver, it's not plutonium, it definitely isn't oil, it's all about data. And whether it be a global Fortune 500, a mid-sized company or Herzog's barn grill, data is your most valuable asset. So at IBM Storage, what we've done is making sure that our focus is on being data-driven. It's all about solutions. It's not about speeds and feeds. Of course, having done this for 35 years, like KOWACS, Poetic Revan, speeds and feeds, and even have some speeds and feeds that Stu may not even remember anymore. That said, it's really about data. It's not about storage speeds and feeds. How, really, storage is that critical foundation for applications, workloads and use cases. And that's what's most important. Yeah, so Eric, when they rolled out on stage this morning that 30-year-old box with ribbon cable, yeah, that predated a little bit when I was looking at IT. But I remember when I started in IT, when we talked about security, the main thing was lock the door of the cabinet that everything was in there because it was kind of self-contained. Security's gone through a few changes in the last, you know, 20, 25 years though. Maybe you could talk a little bit about that kind of security resiliency. Obviously, something that's impacted the network for a long time, something that IBM sees. Well, I think the big deal is what most people think when they think of securities, I got to buy security software. So I got to call up IBM Security or RSA or the Intel Security Division and buy some security software. And while that's great, the reality is as many people have written about, in fact, Wikibon SiliconANGLE's written about it, close to 98% of all enterprises, and I mean big enterprises are going to get broken into. And you've seen this all over the news. So the key thing is once they're inside, storage can help you with a cyber resiliency play. And at IBM storage, would that be data rest encryption, would that be malware ransomware protection? We put together a whole set of technology that when the bad guys in the house, they can't steal the TV because we've locked it down. It's almost as if it was in a safe. Maybe it's almost like the cloak in science fiction where you can't even see the Romulan ship because it's cloaked. Well, guess what? That's what IBM storage can do for your data and it is your most valuable asset. So critical to cyber resiliency. So helping customers go from reactive to this expectation breaches happen very frequently every few seconds to being proactive? Eventually predictive? Well, what we do is, for example, with our Spectrum Protect software, when there's a malware ransomware attack, what happens is they always go after your secondary data sets first. I know that sounds weird, but they go after your backups, your snapshots, and your replicas. Because when they attack your primary data, if you can just recover from a backup, they can't hold you for $10 million a ransom. So our Spectrum Protect software, for example, when it sees anomalous activity in backup data sets, sends an email and a warning out to all the admins that says, you have weird activity going on, you might want to check it out. And that way you would know because secondary data is attacked first in a cyber resiliency strategy. The other thing we're seeing a lot is just the scope of what's happening in IT when you talk about things like scale and you talk about edge computing and so much change going on. There's got to be AI in there or machine learning to help us because humans alone can't keep up with what's going on here. Tell us a little bit about that. So big data and AI is like the hot topic right now. Cyber resiliency is important because people obviously have been buying security software for a while. So what we do is really an adjunct to that. In the case of big data, it's a brand new open field. Everyone is looking for solutions in both of those spaces. We have created a complete set of data infrastructure. We call the AI pipeline. It involves not only physical storage arrays but a whole bunch of software. In fact, our Spectrum Discover software which allows you to create metadata catalogs about file and object data is being expanded. And we already publicly said this in the second half to include EMC and NetApp and AWS, not just IBM storage. So it's a critical thing. You've got to make sure. The other thing is when you're using AI, let's say you're going to use AI to run a factory. If the storage goes down, those robots aren't working. So storage is that critical underlying foundation. A, in a big data network load to be able to have this pipeline to get the data. But if you don't have the resiliency, the performance and the availability of the underlying storage, everything shuts down if the storage fails because the AI software won't run. So that's how we see fitting into there both a critical foundation and also this AI data pipeline with all of our software. So before we get into the Cisco partnership with Everest, it's one more question, Eric, for you. As chief marketing officer, you talk with customers all of the time. In that example that you just gave about the criticality of storage for AI, where are you having conversations within customer organizations? Is it at the level of the storage goals and guides or has it gone up to lines of business, to executives? Yeah, so from an AI perspective, it runs a gamut. It could be sometimes the storage people, sometimes the infrastructure people. A lot of times it's actually in the line of business or at the data scientist level. On the big data side, it's a little bit more mature so people know they need to do analytics versus AI. And so when you look at it from that perspective, on that side it's often the storage guy, but it's also the data scientist as well. So that's who we talk to to get things rolling. We don't just talk to the storage admin for either of them because they're both so new and they have such a big impact on the data scientists and the analytic engine communities inside of those giant enterprises. And I can imagine eventually maybe it's a question for you of that conversation elevating up to this week because if you can't access the data that can't be protected, what good is it, right? It's really, to say it's the lifeblood is a silly thing we say it all the time but it's critical, it's table stakes. Well, one of the things that's interesting is I just got my Fortune 500 magazine at home that had the Fortune 500 list in it and there was an interesting article on AI and the enterprise and they did a survey according to Fortune magazine, 50% of the CIOs that are in the Fortune 500 said they're using AI and big data of some type. So it's sweeping the world and started of course in HPC and the academics but now it's going into all enterprises of all types. All right, so we've talked for a few years about the VersaStack partnership but the last year or so we've really been talking about where hybrid cloud, multi-cloud fit in this. We talked a little bit at IBM Think. Everest, as we talked in another show about some of the IBM cloud private. Give us the update where we are with customers and how that fits. Eric, let's start with you and Everest, just go into the partnership. Sure, so from a storage region perspective, we've been talking about hybrid multi-cloud now for several years and in fact, I did a presentation two years ago at Cisco Live on hybrid cloud using the VersaStack. Today I gave one on data driven enterprise and why hybrid multi-cloud is important to you. So that was the 30 minute presentation I did today. So I think the key thing is we make sure that we, A, are hybrid. It's not going to be all public or all private. We can move data seamlessly back and forth and then also multi-cloud. When you look at enterprise shops, they're not going to use just IBM cloud. I wish they would, I'm an IBM shareholder but they're not. They use IBM, they're going to use AWS, they're going to use Amazon and in many cases they're going to use some smaller cloud providers. So we make sure that we can move data around across any multi-cloud of various different providers to a company but also hybrid cloud as well. So the status, talk to us about, you know, from a partnership Cisco IBM cloud private perspective. What's going on there, Everest? Thank you very much. Well, IBM and Cisco have been partners for a long, long time. And what we're doing now is giving the realities of the fact that most clients have found themselves in a multi-cloud environment, hybrid multi-cloud environment. What we can do to help clients so they can develop, they can test, they can manage the applications in a consistent manner, whether they're on-prem or in the cloud. And there are a couple of initiatives that we are announcing. One of them is that IBM cloud private is going to run on Hyperflex, so Cisco's Hyperflex, as well as Hyperflex hyperconversion for structure. What it means is a client who currently has Hyperflex can have IBM cloud private on it, which effectively means they have themselves a private cloud environment that also connects to other public cloud environments and allows you to really begin to work within a hybrid cloud environment the way that most clients need to. The second initiative is that we will have ACI pods, V pods, or virtual ACI running in the IBM public cloud, which basically means that again, Cisco customers, ACI network customers, who currently use a product on-prem, will be able to use exactly the same control pane to manage their deployments and to manage their security preferences on-prem as they do in their cloud. And this again, it's not running in the public cloud, it's running on bare metal in the IBM cloud. All right. Eversus, can you bring us inside a little bit the applications? Eric talked about data we know is so important. Really, it's the applications that are driving that. It's where we're seeing the most change in customers as to how they're moving or building new applications. And in hybrid cloud, it's one of the biggest questions for customers is what do they do with that application portfolio? Yeah, so what we're seeing is clearly because clients have now lots of different public clouds. They also have private clouds to deal with them. They have lots of applications that are currently that need to move, right? We believe 20% of those applications have moved. We're remaining 80% that still on-prem. And so the trend that we're really seeing is applications moving to the cloud. In the two ways of doing it, you could do this by simply lifting and shifting on the end. You get the contraction benefit of your stack, right? So you get some cost impacts. But the really interesting way that you see lots of clients moving is modernizing the applications because the real value driver we think for the cloud is not so much cost as innovation. And when you convert those applications into microservices and ride them around them in containers, it gives you plenty of flexibility. And we see lots of clients that want to use IBM Cloud Private as a platform to enable that modernization journey. So as every industry is living in this hybrid multi-cloud world for many reasons, but it sounds like to me is that the IBM Cisco relationship is deepening as a result to enable these organizations that are in these very amorphous environments. As we see the explosion of edge and mobile. That's what it sounds like to me is that this long-standing partnership is getting deeper and maybe a stronger foundation to help customers not just live in this hybrid multi-cloud world, but be successful so that their businesses gain competitive advantage. They can identify new products and services and revenue streams. Yeah, I think multi-cloud and hybrid cloud actually requires partnerships. Because as Eric said later on, of course you'd like everybody to be on the IBM Cloud and it's a great cloud. But we recognize that many clients will have a variety of different clients to deal with. They have a variety of different infrastructures. And that's why when you look at IBM Cloud Private, which is our offering that really enables that hybrid cloud, it is designed to manage that. So it is multimodal. So if you want to run it as a VM, you can. You want to run the containers. You can run serverless. You can run bare metal. But also it supports a range of different infrastructures. So not only does it run on Z, it runs on power. It runs in spectrum storage. We announced we're running now on Hyperflex. It also runs on other people's public cloud. So it runs on Azure. It runs on Amazon Web Services. It runs on Google Cloud Platform. It runs on IBM Cloud. And the intent here is to enable clients to basically manage and work with that infrastructure as if it was born the way that Stu said in a data center where you lock everything up where it's not like that anymore. But the most that we can do is to enable clients to treat all of that infrastructure as born. And that's what we sort of aim to do without platforms. All right, I guess last question I'd like to get both of your comments on is your advice for customers? Customers have that they have a lot of existing things that they have to deal with that they're looking to modernize. What advice do you give them? Where do you start them? I guess one of the things, you're starting where they are but what are some of those first steps and recommendations that you have for customers today? We have a process that works really well which is called the IBM Garage. Which is effectively a way that we use to co-create with our clients to solve their immediate problems. So a client, for example, who is looking at app modernization but isn't sure where to start. Which app? What we do is we get their teams together with our teams, line of business together with IT and our teams and we spend a couple of days in a design thinking workshop to identify a minimum viable product. Which is something that solves the problem. Not big enough that it will take forever but big enough to matter. Then we get our teams who work side by side. We code it, we test it, we deploy it, we run it in the IBM Cloud, we manage it. Like in one week sprints and then we spend another few days at the end of week four or five to do a retrospective, see whether it solved the problem as you expected. And if it did, you pick the next piece of work to continue your journey. So before you know five weeks in, you have your first application modernized or you have your first cloud native application written. Now from a storage perspective, it's a little bit easier. We supported storage on bare metal. We supported storage in all the virtual environments. KVM, OVM, obviously VMware and Hyper-V. And now we've been supporting containers for over two years. So what we say is leave no data behind. If certain data needs to stay on bare metal, that's fine, we can support that. But we can also transparently migrate data back and forth between the various tiers of container-based, virtualization-based or the old-style bare metal. So from our perspective, we help them move data around where they need it. And if they're still running in a hybridized world, in this case, containers, virtual and bare metal, that's fine. They just go containers, that's fine. If they just go virtual, it's fine. So for us, because of what we've been supporting now for several years, we can help them on that journey and traverse from any one of those three layers, which is where data sits in today's data centers and cloud environments. So overall, a lot of collaboration, a lot of customer choice. Gentlemen, thank you for joining Stu and me on the program this afternoon. Great to have you back. Great, thank you. Love to be on theCUBE. Oh, our pleasure. For Stu Miniman, I'm Lisa Martin. You're watching theCUBE live from day one of our coverage of Cisco Live. Thanks for watching.


You can't teach what you don't know. You can't leave where you don't go.  So I know who you are. I understand who you are I'm not judgmental, but I'm just trying to give you some game. I'm trying to tell you utilize me as your crash dummy


Okay, welcome to the Bookmap Platform Details webinar. This is Bruce at Bookmap. Wrist disclaimer, trading equities and futures involves a substantial risk of loss. It's not suitable for all investors. Past performance is not necessarily indicative of future results. For more information, you go to bookmap.com. There is a free 14-day trial of the product. It comes with education. You get the Bookmap Educational course and you get access to the Bookmap Advanced Order Flow webinars that start in about 25 minutes. There are other resources that come along with it as well. And if you have any questions, you can reach us at support at bookmap.com. So let's take a look at the Bookmap website here and just quickly go through it. Here's the home page here. Let's click on Explore. Drops us down into the intro video here that you can see. And then just some various information here about Bookmap, what it is, and some of the advantages. Advantages here with NASDAQ TotalView. It's not just for futures. You can also connect Bookmap now to US equities. You can read about the data feed here. This is a new feature for the last, I don't know, two, three months or so. It's a great data feed. Here are the other data feeds. You will need a data feed provider to connect Bookmap to the markets. We're just a software platform. You will need a data provider. So these are the ways that we connect Bookmap. As you can see, some of these are through the API of a trading platform like Ninja Trader, TTX Trader Pro, or Interactive Brokers.  So you can connect directly with your data provider, like CQG, Rhythmic, Gain Capital IQ Feed, Transact, or the Dev Experts with that NASDAQ TotalView. Here's the free trial. You can see it's for 14 days. There's Bookmap Basic or Advanced. The difference between the two are the add-ons. Other features that were built out to enhance the basic version. So for example, you can trade right from the Bookmap chart.  This allows you to hide your orders behind high liquidity, for example. Or you can front-run high liquidity. So you can react to the other players that you see in the auction. And that's the advantage that you're going to get with the one-click trading. You can also get access to these proprietary indicators that we put together. For example, the large lot tracker, this allows you to see some of the larger players in the limit order book. There's some imbalance indicators. Iceberg Detector allows you to see orders that trade that weren't in the limit order book. And then there's a correlation tracker. If you're a quant, you can reach out to us here. You're going to want to connect to your own data and have your proprietary indicators as well. If you need a data feed, you can click here. So you can get a trial of a data feed along with your trial of Bookmap. Usually data providers offer a two-week trial period. And if you can't decide which one you want out of the different features here between Bookmap Basic, Advanced, and Quant, you can click here for a complete list. Social media, you can follow us here on Twitter at bookmap underscore pro. And you can see all sorts of things here. So for example, look at this nice GIF image showing this ignition algo here. This is an algorithm that is pushing price up, trying to probably get it filled up into maybe this area up here, and skewing the auction. So great stuff here, all sorts of other resources and things that you can access following us at Twitter. Or you can subscribe to our YouTube channel. If you do, I would recommend watching some of these intro videos if you're new, and then get to some of the features and components to understand the user interface of Bookmap, and then get to these order flow video snippets. These are very concise videos that go through the order flow phenomena that we go through in detail in the live Advanced Order Flow Analysis webinars. So this webinar here is for everybody. It's open to everybody. It goes over the features and components of Bookmap and the basics of order flow, and what you're looking at in Bookmap. The advanced webinar goes through more of this kind of content here of understanding how to trade using Bookmap by what Bookmap is showing you and how to react to it, and understand this phenomena. We'll go through a little bit of that today. Let's take a look at Bookmap. We've been looking at the NASDAQ for several weeks now, because S&P really hasn't been moving, although it's been moving a little bit lately. But usually we cover that S&P. We can see the bullish activity today, no question about it, and we found buyers. So just looking at the bigger picture here, because it's always important to get that across. We're up at all-time highs again today. So we can see the pretty significant move to the upside here. We're going to see some pretty interesting stuff in Bookmap. So let's take a look. All right, so here is Bookmap. And when you look at this, especially for those of you who are new here, you're probably going to think this is like nothing I've ever seen. And it looks very foreign and complex. It's actually the opposite. It's very simple data. And we're giving you a very transparent, objective view of the market, more objective than looking at volume bars or candlesticks, et cetera. Whatever kind of bar, rotation, point and figure, footprint chart, they're aggregating data. And Bookmap is not. It's showing everything. And that's one of the advantages you're going to get using Bookmap. So I'll get into what I mean here. And let's just bring down this dot size for a moment here. It's a little too big. OK. So what we're showing in Bookmap is really three things. We're showing historical best bid and offer. We're showing you the volume where the volume traded on the historical best bid and offer. And we're showing you the historical auction, the limit order book, the dome, but recorded onto the chart. That's what we're looking at. We're looking at just those three things. Looking at a beautiful flip of the book here. This is a phenomena that we go through in detail. And I'll get to it a little bit in about 10 minutes or so. But so those are the three things. So we do have an indicator subpanel here. I'm going to actually close that up and shows the cumulative volume delta. And we have a subpanel here as well for volume. This is just bar volume based on time. Not showing you exactly where. So anyway, I'm going to take off these layers of data. And we're going to go through it in detail to show you exactly what you're looking at in Bookmap. Here is a five-minute candlestick chart. All right. So we're all pretty accustomed to this view. We understand what it is. Open, high, low, close of a five-minute period. The problem here with this view is a lack of transparency. We have no clue where the volume traded. We don't know what size that volume was and when and where exactly and what type of volume it was. Obviously, it's going to be a lot of aggressive buying. But today, we still have no idea where this volume traded. Now even beyond that, a lot happened within these five-minute periods. There's all sorts of microstructural detail in here that gives tremendous insight. It's all lost within this bar because it's aggregated all within one bar. So if I just turn on the historical best bid and offer, we're already going to see a lot more data. That's all I've shown here on this candlestick chart is historical best bid and offer. But we can start to see all sorts of little ripples here and understanding of what maybe this WIC constitutes here. We come up here.  Then we come back up and break out to new highs again. But we really don't have an understanding of that looking at this candlestick chart because it aggregates that data. And that's part of the problem here with this candlestick chart. Now the other side of that problem is the volume, not knowing where the volume traded. So if I turn on the volume dots here, now I know exactly what occurred. So let's zoom into this little area here up here. So this is what occurred. And we can see between this bar and this bar is five minutes. Well, what actually occurred here was we can see that the beginning of the bar, we broke out to a new high above this swing right here. And there's a microstructure. I'm getting a lot of latency here. I'm not really sure why. Anyway, I can draw in a line here. This is the swing up here. Well, look at the pullback, right to it. And then we saw continuation to the upside. Starting to see maybe some sellers starting to come in here in the order flow. We can see them. Let me cover what the dots are displaying here.  And I'm going to show you every single action or event that took place. Some latency here between the best bid and offer and where that volume traded. So that's why it's off of it. But because these markets trade very quickly. And these best bid and offer comes in via a different protocol than your trade volume. So sometimes there's some latency between the two. Anyway, in this section here, here's a very simplified version of what's going on. We have historical best offers, a red line. Historical best bid is the green line. And these dots are transactions on the historical best bid and offer. A green dot constitutes a market buy. Someone hit the market buy button here. They cross the spread. They paid up the spread. And they didn't provide liquidity. They took liquidity. The liquidity provider was here with these 20 orders or contracts. The limit order book is the COB column here, current order book. User traders lined up here to provide liquidity. They want to sell at these levels. On the bid here, this is where they want to buy at these levels. Someone hit the market buy button. They took the liquidity that was being provided here on the best offer. Market sell is the same thing. It's just that they're taking liquidity off of the best bid. Now note how these dots here, we can continue to zoom in here. And I can show you every single event. That looked like it was actually one big trade. So it's not breaking down. But we can zoom into other little areas. And we can see one event as well. But I can show it in a different way. I mean, we're zooming in to nanosecond levels. We have the capability of doing that. The complex event processor and book map is able to show you every single event at those levels. Very, very low time frames. Now as I zoom out, though, note how the timeline compresses. And we're showing all of this data here in just a bigger dot. That's what's really occurring here, is just we're visually or graphically aggregating the data together. And you'll see as I continue to do that, just it becomes a bigger red dot. We still have all the trade data here. We can use the data tip tool and hover over here. And it says 108 contracts traded here. We have the date, the time, what was on the bid at this price level, and the volume it traded at this price level. As I zoom in, though, we can split apart all of that. And we see exactly what occurred. So that's how we're recording the data. And that's just the volume part. And then note how as I zoom out, we saw both buying and selling in here. So we're giving you the overall shape of that with the pie display. And the pie display is really showing here pretty much 50-50 out of these 241 contracts that traded. 120 are going to be aggressive buys, and 120 would be aggressive sells, more or less. But you can see down here, the majority of it is buying, pulling the market up. They're lifting the offer. And we can see that. It was very typical in order flowing a trend. Noticing more volume trading at higher highs. We see kind of a change here in that order flow here. More selling starts to come in. We're still holding structure here. I mean, the swing is here. So we're still bullish at this point, even at this point down here. Anyway, all right, so that's the traded volume. That's only one side of the information, though. And most of us are only accessing that data, to be honest. There's so much more going on here that gives us tremendous insight of what's going on in the market. But we don't see it here. And that's the historical order book. How do we usually look at the order book? Well, we look at the current order book. And the current order book is your dome, your depth of market. This is the current order book right now. Here's our best bid and offer right here, the dash red and green lines. This number is the last traded volume. Here's our best bid and offer here in the current order book column. Here's our price ladder. And then these are traders that want to sell. They're providing liquidity. And these are buyers at these levels. This is where they want to buy. These numbers are changing all day long. They're pulling, adding liquidity in the auction. That's what's going on here. Now, the current view of the market is good. It gives us insight to where areas of high liquidity are. We can see up here at 63.82. Around the bid, maybe down here at 75. So we have that understanding by looking at the current snapshot. But when these numbers change, then that current snapshot is we don't, or that previous view that we just, where we just came from, we don't have any record of it. And that's the problem with the dome. Because you'll have to remember those areas where there were buyers lined up, how they behaved, what about areas in front or behind? Those buyers, were they front running, or were they pulling to lower levels, et cetera? There's all sorts of things to read in the auction, which is very difficult and challenging to do by looking at the dome, the numeric current snapshot of the order book. So where bookmap solves that issue is we record it. And we start here in this window, which is the current market window. And you see how at 78 here, they had high liquidity, and now they're probably up here at 79. They just pulled, and they added up here. And note how this area here gets a little bit brighter. These areas are changing, too. When the grayscale changes, it is reflecting the liquidity in the order book. So if there's more liquidity, these areas are going to get brighter. And if they pull, like they just did here, as we can see, well, then it's going to get darker. So that's in this current market window here. Where this really gets interesting is we take this data here, and we record it, and plot it onto the chart historically. So here they are. Here's the story of these traders up at 81 and then at 82. So now we can start to look at a bigger picture, much bigger picture, of the auction and how they previously behaved at these price levels. And if they're still interested or not, or if they traded, we can answer those questions. I mean, emphatically, we can answer those questions. We know the truth. Did they stay in the book, and did they trade? Well, we can zoom right in there. And we can check it out. So did these areas trade? Absolutely they did. Look at the high liquidity. If I hover over here, 194 contracts. And if I go back here, well, out of those 104 contracts, well, they continued to, no, we're going to get an iceberg here. That's what's going to happen. Actually, 302 traded. So now how is that possible? There's a number here that is being hidden, because we'll have to, there it is, 108. So actually, not only did this liquidity trade in here, and they stayed in the book with these contracts, but there's an iceberg order. Actually, it looks like it was waiting ahead of a lot of that liquidity, because that traded first. And so that's how, even though we see 194 in the book, 302 contracts traded. So we're looking right at a larger player using an iceberg order, getting filled at these areas. It's liquidity that wasn't in the limit order book, but it traded, and that's an iceberg. So they're absorbing here. Larger player is absorbing up here at 6380. That is fact. And we know that these guys at 80 as well, they're interested in being sellers here, because they stayed in the book. This is not fake liquidity. They stayed. So we can answer these questions. Now then they started to pull, and then they started to add back in as well. And price reacted. It traded for a little bit, and then it veered away. So it's going to stop, or they absorbed a lot of the buyers here. Need to find more buyers to trade into these areas here. And we did. The buyers came up here and traded into this area. And not many, just a volume of one. But still, and then here's another one, volume of one. But the majority of the traders at that point decided not to take these guys on until here. And we see the same story. A little bit, some of it was filled and it remained, and then some of it was pulled as well. And that's why the buyers were able to trade through that area. So now, going through the details of this here, though, it gives us a lot of insight. And this is different than looking at some sort of indicator that has a crossover or some sort of signal that it's overbought or oversold. This is factual data of just knowing where traders, larger traders, are in the market here. They have conviction in their trades. They have transacted, and we know that. And that's the big difference here. So now we understand that there's potential here for maybe some of the buying to exhaust out and the potential for reversal to find more buyers, because buyers, maybe they start to exhaust out here. And that is kind of the case here in this instance. We're still bullish, though, because we're still finding buyers down in some of these areas here. Now we make a double top, though. We don't even come up to the high here. So just from reading this information here, we're getting tremendous insight. We're going to see also here other areas of high liquidity and then absorbing probably here. So we can see that that's starting to kind of slow down the market up here at that 80 level. And in fact, that 80 level is just about to get retested here again right now. So anyway, this is how we start to begin to analyze the market in the advanced order flow webinars. And starting to understand these areas. Starting to understand really what's going on, not based off of some sort of indicator. We're just looking at real market data here and understanding what's going on in this auction, where traders are committed and where they're providing, where they're lined up and showing interest to buy or sell. So for example, we'll end it here on this one. But we can see here a phenomena that we go through all the time in the advanced order flow webinars. This is called a flip of the book. There's high liquidity here at this area around 75. High liquidity, 139 contracts, well, 109 on one level, 133 at another level, 85 at another level. They wanted to be sellers here. We kind of come up here. It looks like they actually polled a lot of that, but maybe some traded, some traded, no question. But then some of it polled and these sellers that were providing high liquidity here are now buyers right on the other side at the same price level exactly. So the order book has flipped. And you can very visually see that. And we can see that it's bullish. Because it's supporting this area where we broke out from. Right here. So one of the strategies that you can employ is looking for pullbacks to these areas to get involved in the market and look for continuation to the upside. This one would have worked out really well. Anyway, let me leave you with that. And I wanna show you where you can find that flip of the book. There's a video on it. It's about three minutes long. It's right here. So go to our YouTube page and come down to order flow video snippets and here's flip of the book. All right. If you wanna read more or find out more about what this phenomena is. Okay. All right guys. If you're in the advanced order flow webinars, we'll see you over there. Okay, bye.