Good afternoon, and welcome to another episode of Likeable Science here on ThinkTech Hawaii. I'm your host, Ethan Allen. Thanks for joining us. We're going to have a really interesting show today. We have some truly amazing technology to showcase, and we're doing this, actually, with more technology, because our guests are joining us from Buffalo, New York, Dr. Chao-Chan Gann, and Dr. Hauman Seng, excuse me, sir. Dr. Gann is with the electrical engineering department at the University of Buffalo and is the founder of a group called Sunny Clean Water, and Dr. Seng is the Chief Technology Officer at Sunny Clean Water. Welcome to both of you. Thank you. Thank you very much. You're very good of you to take the time and on a Friday evening to come join us here. Dr. Gann and Dr. Seng have developed a really interesting, a very old technology of solar distillation. Now, maybe you can relate just sort of the very fundamental principles of what passive solar distillation is and what it does. Solar distillation, we actually use the solar energy to heat the water. Then we will evaporate the water to generate the vapor. The next step, if we condense this vapor, we can get to the seal the water, so that in this case, most of the inorganic contaminations, like carbon metals, a lot of chemicals, they can be removed, so people can produce clean water, drinkable water, using this way. But importantly, we don't need any electricity, so we only rely on solar energy. Therefore, this is environmentally benign technology. Right, and this sort of distillation process actually happens all the time. That is, our oceans are all the time, the water is evaporating, going into vapor form, condensing up in clouds, precipitating and running off on land in streams and lakes. Right, so this is sort of, it's the natural water cycle, but in a constrained format. Excellent, excellent. Now, one of the things, I mean, solar distillation has been used by a lot of people over a lot of years, and people have developed all sorts of different designs for doing solar distillation, and it's great because as you point out, its real power is that essentially water evaporates, but the salts in it, the minerals in it, the contaminants in it, typically do not evaporate with it. The bacteria stay behind, the viruses stay behind, really only the water evaporates, the water condenses, and so you end up with very fresh, very clean water at the end of this. Yeah, right. So, but traditionally the problem has been that it's not been a very efficient process, right? That is, it takes a lot of energy, a lot of energy gets wasted in the process, right? That's true. And what sort of a typical solar, old fashioned solar, still efficiency? Okay, yeah, the old technology, for example, people use a container with a black color, so there's this ball container filled with the water, so this black color will absorb the sunlight and heat the bath water, so we have to heat the entire water, so the temperature of the entire bath water will increase, so then they will evaporate, so like we cook the water, we boil the water at home, so this efficiency is really low, relatively, you know, usually it's only 30 to 40 percent. Right. And that's really the beauty of what you guys have figured out, you figured out how to take that whole excess heating of the water out of the process. Yeah. And maybe you can talk a little bit about sort of, you know, how that came about, what was your insight as to how, that you didn't need to do that really? Sure, sure. We basically, we developed, improved thermal management technology related to solar energy, so we developed a system floating on top of the bath water, and we also developed a kind of a, how power the fabric material, so also on top of the floating system, so this material, fabric material, usually you can consider the tissue, you know, tissue that can absorb the water, right? But in this case, because of the capillary force, the water from the bottom can be transported to the surface. So since the material, the fabric is black, it will absorb the solar light efficiently. In this situation, we only have to heat the surface water absorbed by this fabric paper. We don't have to heat the entire bath water, therefore our efficiency is boosted. Right, right. I think, if I'm not mistaken, we have a diagram that sort of shows that process. Yeah. Right. So, just also walk through this diagram, basically on the right-hand side, you're showing individual unit floating basically on a styrofoam block or something in the water, the water absorbs by capillary action up through the black paper, and then, you know, your solar energy is just heating up just really, that black paper, a very thin layer of water becoming very efficient in terms of evaporating water off, and then the whole unit is enclosed, as it's shown on the left, inside multiple versions that are enclosed in a plastic box that collects the water. Excellent. Okay. And yeah, I can see it. That's really, it's very sensible in a way as to, you've cut out this whole unnecessary heating part where people have been heating up a large volume of water, and we all know water has tremendous heat capacity, and so you can dump a lot of heat into water before you do much with it, before it heats up much.  So that was quite an insight, I think.  Can you maybe elaborate on that a little bit? Yes. Just based on this system showing in a picture, we realized around 88% energy efficiency. In other words, 88% of the solar energy used to produce vapor rather than used to heat the bulk of water. So this is, at that time, it's a record of high efficiency. Recently, we actually improved it further. Right, and now let's talk a little bit about that latest improvement. So you changed the way this absorbing tissue layer is shaped, right? Instead of having it lying flat on a surface, it actually comes up and hangs freely? Yes. And the peak for this structure is that we just want to enhance the surface area of this evaporated structure. So compared with the first design, you can see the first design is a flat structure. Now we try to enhance the evaporation surface area. Therefore, we just produce a triangular structure. But in this case, the projection area is the same, but for this new structure, the surface area is much larger. So under the same solar illumination, the surface, the light intensity, light density on this larger surface area is much lower. Therefore, the surface temperature is also lower than the first design. But in this case, most of the solar energy are used to generate a vapor rather than to heat the vapor or heat the water. So our efficiency is much higher. So actually, in principle, we can enhance our efficiency up to 100%, which means all solar energy are used to evaporate water rather than heat water. So this is a breakthrough. Yes. That is a breakthrough indeed. If you're getting very close to 100%, you're working at an amazing efficiency. I agree. Virtually unheard of in any mechanical process. You're, of course, talking about an energetic process rather than a mechanical one here. But knocking those molecules off and just using the solar energy only goes to that and not heating up a big bulk of water is, that's amazing. Yes. Yes. So this, I'm sure this did not happen overnight. What was it? Maybe you can sort of step back a bit and tell us about what kind of research you were doing and what brought you sort of to look into this. Okay. So actually, recently there is, this is a really hard to research topic. Actually, in last year, National Academy of Engineering has a global challenge forum and Dr. Song and me were invited to attend that workshop and Dr. Song had a presentation there. So actually, water scarcity is one of the global challenges. Right. So that's a motivation for my group to do the research along this direction. We started this research in 2016 because a lot of groups including MIT, Rice University and another university, Nanjing University in China, they are working on various advanced nanomaterials to enhance this solar vapor generation process. But my group, you know, we feel if the material is too expensive, it's still difficult to design, you know, for, for, for private applications. Therefore, we focused on, you know, improved the thermal management system using low cost of material. So this is our, you know, motivation. So we already worked on almost three years and we had some progress. Yes. That is, that is very interesting and you bring up a point I wanted to touch on.  That is, you lay, you lay, or you treat it in some way with some special material? Actually, the, the lowest cost of material is carbon. Actually, carbon is an abundant material available in this, on our planet. And therefore, we only use, we can use a low cost of carbon powder to realize a very, very good solar effect. Oh, interesting. Interesting. That's great. Again, a very, very inexpensive sort of low technology. Yes. Way to approach this. That's, that's, that's super good to think about that. And, but is there anything special about the paper or, or is it a cloth that you're using actually to this black surface rides on? Definitely. You know, this is a kind of material engineering and surface engineering research. Actually, we are also working with some collaborators to identify, you know, which material is the more evaporative. For example, actually the, the fabric industry like Nike, those kind of, for, for sports clothes industry, they are also looking for this kind of materials for the sports clothes. So, we are actually looking for, into this area, you know, to, to find the better material for evaporation. So, this is also a research topic. And we are also looking for the fabric that can last for a long time. So, it doesn't need very much maintenance, for example. Yeah. So, that can last long. And so, it's cost effective. Yeah. That's, that's a very, very interesting issue because you're going to be putting this solar steel out and different people will put it into different conditions. Hotter, cooler, more sun, less sun, cleaner water, saltier water, water that has other contaminants in it. And is that going to influence sort of your choice of, of paper or will pretty much all be the same? Definitely. Actually, because this is one of our interests at this moment because our company is, is working on auto tech. So, the environmental conditions are different areas that vary a lot. So, we have to consider their feedback to, you know, think, to think about the optimization of our product and select the different materials. Excellent. Excellent. This is, this is very exciting stuff to, to learn about. And you're, you're be commended for looking into this. And there's so many different things that, you know, on the one hand, it seems like such a simple idea, just evaporating water and having it condense. And, but there are, you know, there are many subtleties to it as you're pointing out. And that's, that's wonderful to learn about. I'm told at this point that we're going to need to go off for a brief break here for about one minute, but, and then we're going to come back and dig a little more deeply into this whole process and how it's, how it's developing and all that. Dr. Chao Chang Yan and Dr. Halman Song from Sunny Clean Water have been, are being my guess here on Lekable Science. I'm your host Ethan Allen and we'll be back in one minute. Aloha, my name is Mark Shklav. I am the host of Think Tech Hawaii's Law Across the Sea. Law Across the Sea is on Think Tech Hawaii. Every other Monday at 11 a.m., please join me where my guests talk about law topics and ideas and music and Hawaii Ana all across the sea from Hawaii and back again. Aloha. Good afternoon and welcome back to Lekable Science here on Think Tech Hawaii. I'm your host Ethan Allen. Joining me today from the University of Buffalo and our Dr. Chao Chang Yan and Dr. Halman Song, both of Sunny Clean Water, it's a new, a new company they've formed to promote in advance a great, highly efficient solar distillation process where they simply employ passively the energy from the sun, but they do so in an amazing way where they've gotten an efficiency very, very close to 100% efficient. So virtually every single photon from the sun that hits the surface of their device knocks water out of the liquid state into the vapor state and yet you're not heating up any extra water. You're not wasting any heat. You're not wasting any energy. The water is simply evaporated off and then recondenses giving you clean, fresh water. An amazing story actually. But there's always a big leap between getting a good idea and maybe demonstrating in a laboratory and then actually forming a company to go out and make this a practical application in the world. And perhaps you could talk about some of the hurdles that you faced in moving ahead. Actually we started a company last year and so as a very, very new startup company so one problem is that we need some resources. So right now we are supported by the NSF, the National Science Foundation, a work called Small Business Innovation Research that they are very supportive and help us a lot. And we are right now so we are developing the portable system which can be easy to carry and easy to use and easy for maintenance. And that's one thing we are developing and one challenge we have now. And also we have to make sure that the water we generated is okay for drink. So we are testing the quality of the water right now and try to make sure everyone can use the product very safely. Yeah. Excellent. You of course have to do that. I mean we can all say yes only the water evaporates and only the water should condense and be recaptured and no contaminants but you always of course need to check that out and do the proper tests to be sure that that's really true. But the numbers you are getting off your early tests suggest that indeed this does reduce contaminants very efficiently. You knock out essentially all the heavy metals out of water, you leave salt behind, you would leave presumably any bacteria, fungi, microbes, and also some organic compounds also can be removed. Right. And one of the nice things about your design is because it floats in a body of water you are not left with a residue. Many stills typically you have filled them first with some baseline of water and then you are left with a brine at the end or a residue that is contaminated, sort of a more densely contaminated residue. And instead by having yours just float in the water you are just essentially pulling the fresh water out of that system and leaving the rest of it undisturbed, right? Yes. Yes. That is the advantage of our solar cells that can't float on top of the water and it just absorbs the water from the water. Right. It makes it very applicable to a lot of different situations too so I immediately looked at that and thought about boaters, people doing boats, particularly long boat trips should love this because you could float one of these behind your boat and just keep tapping the fresh water from it. You could float a whole train of them as a matter of fact behind your boat, right? Yes. Yes. Actually we are looking for potential customers for this kind of boat to use like a fishing where people perform fishing on the ocean so they may need, especially if the boat is small, they may need such a kind of water purifier. Exactly. It's actually funny. I was just the other day talking to some people who are trying to reintroduce small, mainly wind driven or solar energy driven surface vessels around the Pacific Islands group who's very interested in doing this. They've already got a number of the boats out there and these are small boats. They can't carry, every square inch is critical to carry cargo and carry passengers and also something like that. It's probably a very useful thing for them to have, they'd probably be very interested in it. Yes. Our device is foldable so it can be stored in a very small area, a very small volume so it's very easy for carrying. Yes. Again, that's a real difference. A lot of the solar steels are big, they have a big case, have a rigid panel on them that they're very bulky, they're very cumbersome to work with. Again, you've very neatly done an end run around all that. The designers here we're showing here is actually an older design, there was a sort of rigid plexiglass top but now you've actually got one where it's more of a dome tent type affair and it's quite an interesting difference. Maybe at this point what would be good is to take a look at, you guys produce a video that really sort of summarizes all the stuff that we've been talking about for the last part of the show here and maybe we can bring up that video and just help our audience really get the whole picture. The shortage of fresh water is a global challenge afflicting people throughout the world. Only three percent water on this planet is a drinkable and it is not equally distributed in the world, even in areas with adequate fresh water sources. There are still concerns about water contamination including bacteria, virus and heavy metals. This is where sunny clean water can help. Our solar drink product is a system to purify natural water sources. Solar drink system can work on a sunny day to purify water from rivers, lakes or ocean. Due to the black color of the fabric, the solar energy can be converted to heat efficiently. In this process, most solar power will be used to evaporate water at the surface only. The vapor will go up and condense on the coat cover surface. Using this technology, our system can boost the performance of existing portable solar distillation systems by up to three times. Zero electricity, zero carbon emission, zero worry about water quality. Our product is suitable for outdoor activities like hiking and sailing and is important for areas affected by natural disasters. Wherever sun shines, sunny clean water works. We have solutions for personal use as well as utility level applications for small communities. Our units are low cost and can be customized. We're here to meet your unique needs in clean water generation. We use solar energy to produce fresh water. We're sunny clean water. Wow, that's really amazing to see and you capture everything very nicely in that video about the whole process and some of the real pluses of it, how it can be used in emergency situations, how it can be used by sailing vessels or boats. And again, on the small islands where I work, a little unit like that can produce what is it, two and a half, five gallons a day of fresh water that can support a person or a small family put two or three of those units. You could support a little compound of a larger family. I think it's going to make a big splash out in the Pacific Islands, I think. I feel forgive the little joke there. So where do you now stand? You started doing some field testing on this, right? You've field tested it somewhere around your own home site there. Yes. We are doing the field test right now, actually, along the research. And first, we field tested it in the University of Buffalo, the lake in our university. And then we also have our third party agency that's in Rochester that can help us test it and also test the quality of the water. And we also have customers who is in the Barbados that are also helping us to do the field testing. Also, we hope we can do more field testing in our islanders, for example, like that. So especially in Hawaii is one of our target areas. So another target is disaster relief, for example, Puerto Rico, Haiti, and probably recently Florida has some natural disaster. So we really hope we can help. Yeah, that would be great. When you get your design fine-tuned and can really produce a large number of them, you could see these could be tremendously valuable to move a whole bunch of these units into a disaster area and enable people to get water from distillation rather than having to truck water in or fly it on in, all of which are very expensive processes, ultimately. I was reading some stuff recently that in the after earthquake in Haiti, they brought an aircraft carrier which had a big reverse osmosis system to buy water. They calculated that water cost $160 a gallon, ultimately, to produce that. That's insane. I mean, people need water, and so it's worth any price, but you shouldn't be doing that, right? You should be producing it cheaply, inexpensively, with free solar power, like what you're doing there, right? Excellent, excellent. And so, you're getting started on this. I'm sure people are interested to follow up on it, and I know you've got, actually, a rather nice website there at www.sunnycleanwater.com, it's all good. Just one word, sunny clean water, just like you'd expect to spell it, and it's actually an amazing website that really shows your products very nicely and very cleanly indicates what some of the issues and the advantages and the processes are. So, that's great, I suspect there's going to be a lot of people interested in following your, do you have a sense about when you're liable to get these things into some scalable production where people could actually just reward them? Yeah, we are working on that, actually, we are preparing for, to communicate with, to bring in investments so that we can, that will enable us to scalable manufacturing. So, hopefully, we can bring this product to the marketer by the end of next year, 2019, so that a lot of people can try to use our product. Excellent, excellent. That'd be really exciting, and it's great, great to hear you can do that kind of fast turnaround. That's remarkable. If you just started this back in 2016, this local line of research, if you can within three calendar years after the start of a line of research produce a marketable product that's saving the world and doing good, that's a truly remarkable achievement. Yeah, another thing is that this might be a very good kit for education. Actually, a lot of middle school students, they contact us to request this kind of educational kit because our product covers the water scarcity, the water quality, energy, and global challenges. A lot of these kinds of global concepts can be covered by this kind of technology. So, we can produce a lot of educational kit for those make-up programs. Wow, wonderful. That's great. That's beautiful to think about, of course, it makes great sense. Educating the youth of tomorrow while providing good today, who can ask for anything more? Thank you guys very much for being on the show. Dr. Yan, Dr. Song, very nice to see you and wonderful to learn about your amazing innovation here. Thank you both. Thank you. Thank you. And I hope our viewers will join us next week for another episode of Likeable Science here on Think Tech Hawaii.


So I wanted to continue our analysis of the nations, organizations and companies who have the capability of launching satellites into space. Also there's a new rocket engine that just hit the market that may enable future flights into space as well. This is your space pod for April 9th, 2015. To pick up where we left off in the last space pod that I did, by 1971 six nations had launched satellites into space, the Soviet Union, United States, France, Japan, China and the United Kingdom. The United Kingdom abandoned their rocket program in favor of collaborating on a multinational project called the Europa Launcher. Although the Europa Launcher never got past the design stage, that project did lead to the creation of the European Space Agency and Ariane Space to market their rockets commercially. The European Space Agency launched their first satellite on December 24th of 1979 from the Guiana Space Center in Corot, French Guiana. The satellite was called the CATS-1 satellite and its purpose was to provide data about the launch characteristics on the new Ariane-1 rocket. Again, we will talk in more detail about the European Space Agency and the Ariane family of rockets in another space pod because I do want to go really in depth onto all their different programs. Thanks to the European Space Agency and Ariane space, they enabled multiple nations to operate their own satellites who didn't have their own rocket programs. India joined the list of Orbital Launch Capable Nations on July 18th of 1980 when they launched the Rohini-1 Experimental Satellite on their four-stage solid rocket simply called the Satellite Launch Vehicle, abbreviated as SLV. It launched from the Shiharakoto Range later to be named the Satish Dhawan Space Center. They retired the SLV rocket after four flights and their next successful rocket, the Polar Satellite Launch Vehicle or PSLV, would see a lot of success and reliability. Again, I want to talk more in depth about the Indian Space Agency and all of their programs, so we'll talk about that in the future space pod. Israel was the next nation to launch its own satellite called the OFEC-1 and it launched on the Shavit rocket on September 19th of 1988. Their satellite is a reconnaissance satellite and it had to be launched in a retrograde orbit or west-facing against the centrifugal force of the Earth's spin so that spin rocket stages drop over the Mediterranean Ocean instead of neighboring Arab countries. Thus, their rocket, a three-stage solid rocket with an optional liquid force stage, can't deliver as much mass into orbit as it would if it launched with the centrifugal force of Earth's spin or east-facing. The rocket is based off of Israel's Jericho-2 ballistic missile which was developed with some assistance from France and incorporated some United States technology as well. It seems that the Shavit rocket was developed by Israel to launch their reconnaissance satellites due to the classified nature of those satellites. All of their other scientific and communication satellites have been launched by other nations' rockets. However, Israel has expressed interest in marketing the Shavit rocket for commercial use so that might start flying a lot more frequently than it has in the past. After the Soviet Union broke up, some of their member states inherited the Soviet space program and technically these new nations had to launch their first satellites after their governments were reorganized. Namely, Ukraine launched six Stella III Russian communication satellites on their Cyclone III rocket for the first time on September 28th of 1991, followed by the Russian Federation launching their Cosmos 2175 reconnaissance satellite on a Soyuz-U rocket on January 21st of 1992. Both of these launches occurred from the Plasetsk Cosmodrome in Russia. Other than the nations that I've previously talked about, the only other nations that have launched their own satellite on their own rocket is Iran and North Korea. I talked about both of those in detail in a previous space pod and I hope that you can check that out if you haven't already. Several private and public companies have the capability of launching satellites and spacecraft into space, technically Boeing and Lockheed Martin have had this capability for a long time due to their involvement in NASA's early rocketry programs, which have resulted in today's Delta and Atlas family of rockets. Orbital science has achieved satellite launching capability when their Pegasus rocket reached orbit on April 5th of 1990, 25 years ago. Happy anniversary, Orbital ATK. Technically, Sea Launch also has satellite launching capability, but their rocket is based off the Ukrainian Zenit rocket with a Russian upper stage and components provided by Boeing such as the payload fairing. Sea Launch launched for the first time on March 27th of 1999. Finally, SpaceX joined the club with their first successful Falcon 1, Flight Number 4, which occurred on September 28th of 2008. I hope you've enjoyed hearing about these firsts in space that these companies, nations and organizations have achieved. I've enjoyed talking about them and I really enjoyed learning more about the lesser known satellite operators. In some recent news, Blue Origin announced on April 7th that they have completed acceptance testing on their BE-3 hydrogen engine and have made it available on the commercial market. Blue Origin plans to use the engine on their new Shepard suborbital vehicle, and it'll be really interesting to see if anyone buys their engine and incorporates it either onto some new or even existing rockets. Thank you for watching this Spacepod. My name is Michael Clark, and I would love to hear your guys' thoughts on all of these different first satellites that we've talked about, especially if you're from any of those nations. Don't forget to subscribe if you haven't already, and if you'd like to find out more information about how you can help us to make these Spacepods, then please visit patreon.com slash spacepod to find out how you can contribute towards this show and become one of the citizens of tomorrow. Thank you again for watching this video. I will see you guys again next week. There's going to be no live show this weekend, and as far as the Spacepods I'm going to do next week, I'm tentatively thinking about talking about animals in space and India's spaceflight programs, especially their plans to send humans into space. So unless there's something really cool that happens recently, that's my plan for next week, but that's subject to change. Anyway, thank you again for watching, and I'll see you guys next time.


What's up everybody, I'm TheMangus, you were awesome and as promised I'm coming back from a week of playing the hell out of Moragash while attempting to implement some of the advice you guys gave me. While I'm certainly no master at the hero, I do believe I've improved with her significantly and I've learned a great deal along the way.  Before we start into this game though, I just want to point out what I think was probably the top suggestion that helped me improve tremendously with Moragash and this one comes from Funky Monkey who says, don't fight far, walk behind them, you have insane movement speed, keep circling them, it works 100% of the time. I wouldn't say it works 100% of the time but it does work out a lot better than just trying to mark spit and run away. I started to dance around melee heroes who gank me and it usually turns out pretty well or at least better than if I would have just tried to backpedal and kite. I'm still using Beast Hunter and Queen as my two aspects. I love Beast Hunter so much, mainly because of the versatility of it. Having that green aspect means I can load up on health when I need to, so sometimes if I'm facing like a Countess or something, I'll have enough health to where I can actually survive their full wombo combo and it's always funny to watch because you see them drop it and they do that ult and they expect you to be dead and they just kind of stand there confused as to why you're not and then you can start pouring on your own damage and of course if you're ahead and you don't need that health and you could just put those points into your blues for that extra energy power. Dropping a quick ward into the red side jungle entrance, the enemy team's red side because that's the most common place for an enemy jungler to early gank you.  I'm trying to wiggle quite a bit more especially when up against the bellica to try and draw out her stun before I actually engage and we were both wheeling a lot there although I don't know where that stun was going but um yeah she didn't get me with the bomb but yeah that's uh that's one tip that I got was you know pull a 90-degree angle whenever going after a bellica but I think the main thing for that is just to really wait to engage it until after they've used their stun because man yeah more gash is highly susceptible to stuns as is anybody really but and yeah but my farming still sucks really bad. Thing Mel got himself into a little bit of trouble so we're going to try and come in to assist. Now we didn't make it over in time to really help or do anything but a lot of times just showing your presence showing your face is enough to deter people from chasing your allies. I could hear enemies in the raptor pit and I didn't have my ward off cooldown. I didn't have the sentry ward I should have thrown that. I also went straight after Decker which she was just the closest I guess. Probably should have went after the Thing Mel first but it does work out. Twin blast crushing my face. We do get some good damage on Thing Mel and Grim blasting through the wall with that ultimate but yeah Twin Blast took us out there. I'm trying to up my vision game through the use of sentry wards. I try to place it to where the enemy can't easily see it because those the sentry wards are visible to the enemy but it'll see them even if they do see it and clear it you still get an idea where they are on the map. Something else I really don't do enough still is Rotate but it's all part of trying to farm as well. Now this grucks I'm not going to be able to take him out but I do want to push him away so that our several can get the green buff. Green buff goes for this several does go for the green buff but Bellica comes in. Thankfully she didn't engage too hard right there. That could have been bad for us and I don't know why the grucks have decided to re-engage on this fight but I do have my ultimate and he's getting pretty low but it was not enough to take him out. He must have some energy armor going on but that's another big thing with the ultimate. Playing her well I think comes down to knowing when it is and is not going to kill and something I was definitely doing really poorly before was she gonna let me just get this. Something I was doing really poorly before was not um God Jesus.   Had too much hesitation before that engage I think if I would have gone in a little quicker then our duo would not have died we still got the twin blast which is cool and I'm a little surprised that ultimate didn't kill Decker but you know what give a few levels on it then I'll be killing her but um yeah I should have bellica but yeah I should have a should have just straight up engaged that's something I need to improve and fall overall is just going for it instead of pussyfooting around doing nothing. I still really like going travelers augment on more gash but I do want to build damage first to help me get ahead I was building teog way too early on usually I go with apocalyptic apocalyptic epitome for the extra damage when enemies are at low health but if I'm against the countess mid lane or anybody that has a lot of regen then I will go with cursed remnant first which uh which gives you the trauma that lowers their their healing countess can really sustain pretty hardcore just by shadows slipping in on minions. Looking back at this video I have no idea how those seismic assaults weren't hitting me she was timing them perfect like she was adjusting to the way I was playing against her but for whatever reason that those seismic assaults just weren't hitting I guess maybe it's because I'm on European servers and there was just a latency thing I don't know that was another shit or get off the pot situation and I ended up just farting around as always now I remember thinking at this point in the game I shouldn't go up there I should not attack this twin blast I should not commit to that I should just back up let the minions come to me and wait for help from my team but I went in anyway I just said fuck it and went in anyway I don't know why it was a dumb decision ends up working out for me but that was uh that was incredibly stupid of me I should have um should not have done that I should have been punished I should have been punished and yes there's the Traveler's Augment it's I know it was suggested that I use a matter limiter instead which applies a slow on ability hit which is really good on more gashen and would be a lot better for the team but t-og has just become a crutch that I rely on and I find it hard to get rid of it it's it's become a part of my more gash playstyle if you just t-og and e and blast through people and still get away it's uh oh it was just fun now this decision is what I'm kind of proud of I know that Decker's around there somewhere but I want to at least get a mark on that twin blast and then you know get some damage on him and then peace out which is exactly what I do Decker does end up catching me with a stun right there really good stun from her but now my team's catching up I've got the mark on the twin blast so I can safely just kind of stand back and boom catch him with the ultimate pretty far ahead at this point so instead of going with any kind of utility I just went for the straight-up energy power that you get from arcane amplifier you can see that perfect stun from Decker she caught thing about just as he was exiting the the tower and forced it to take a tower shot props to that Decker that was good and there's the surrender again I've gotten a lot better weather against equally experienced players I can usually dominate against more experienced players I could at least hold my own but I still get shit upon by people that are expert mid laners because I sure as hell am not an expert mid laner so if you have any more words of advice let me know but I'm gonna probably move on to a different position either jungle or ADC let me know which guy which which hero you'd like to see me try and master decks and I'll give it a go man goose special shout out to channel members foolish bloodhunter jelly knees me I'll mix for men stunt Farith and Raven


Hi everyone, Joe for Jaspy's CaseRakes.com coming at you with a pack of 21-22 Prism Hobby Basketball. Random team break number 10, three different dice rolls happening here. The first one, we're giving away eight spots within this prism pack itself. Second dice roll will be the randomizer for the break, names and teams. And then the final dice roll will be those four NT basketball random number block spots that we're giving away. The next two will get into the Cleveland one, and then the next two will get into that Toronto one. Big thanks to this group for getting into the action. So we only sold 22 spots outright, giving away eight spots to the top eight after nine. Four to five, nine times, good luck. One, two, three, four, five, six, seven, eight. And ninth and final time after nine. Top eight, Raymond, Stephen, Han, Adam H, Adam K, Kevin, Stephen and Robert. Top eight after nine, extra spots for you. A little buy one, get one scenario. We'll put a little rooftop next to your name so you know you won that spot. Don't worry everyone else, you're still involved in the main part. The random number block giveaway. First, we're going to make you sweat it out a little bit. We're going to do the break itself. It's a hobby, Paxler. It could be something interesting here. Let's roll it, randomize it. Four to two, six times for names and teams. One, two, three, four, five, and sixth and final time. Four to two, six times for the teams. One, two, three, four, five, and sixth and final time. After six, we got Boston down to Houston. And no trade windows in these filler breaks, but here's the first half of the list right there. And the second half of the list down here. And now let's just print and rip after I alphabetize by team. So once again, after the randomizer or after we do this pack break, we're going to see who gets what. Here's the final list, hot off the presses. Thanks everyone for making this happen. I appreciate it. We've got to do one or two more of these. And then we'll finally unlock the random number block. And then you can unlock the actual NT basketball break itself. So keep chipping away, boys and girls. Thank you. Bill Russell Red Wave with Kim Olajuwon, Anthony Davis. Nothing too crazy there. But let's see who's going to win those number block spots. So let's go back to the main list again. Let's gather everyone's names one through 30. Third and final dice roll. Top four. Top four after nine. We'll get into the random number block. The randomizer for that four and a five, nine times. One, two, three, four, five, six, seven, eight. And fingers crossed. Ninth and final time. It's only the top four. So there's going to be a lot of sad faces here, especially spot five. Raymond, very close, but not quite. Five through 30. Sad times, but thanks for trying. There is another opportunity if you want to try again. I think it's worth the chase. Jaspy'scasebreaks.com. Top four. Happy times for you because you're in the random number block. Steven Flatt is happy. So is Han, Kevin, and Russell. Congrats to the four of you. We'll see you hopefully when we do all the fillers. Get your names in there. Once we do all these fillers, we'll see you in that random number block randomizer. There you go. So Russ and Kev, you're in that Cleveland random number block. Han and Steven, you're in the other one, the Toronto number block. Thanks for watching everybody. I'm Joe. I'll see you next time for the next break. Bye-bye.


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Have you heard the strange tales of the whistler hmm the whistler Sylvia warned me. She told me about you now. I know why she was telling the truth She knows you Frank Gerard. She said you were no good Another Sunday night and again CBS presents the whistler I the whistler know many things for I walk by night I know many strange tales many secrets hidden in the hearts of men and women who have stepped into the shadows and So I tell you tonight the unusual story of the confession The courthouse walls of a county in an eastern state have echoed for many years the vibrant persuasive voice of William Marshall Marshall has defended countless numbers of persons great and small who'd become entangled in the measures of the law and He has never lost the case The great criminal lawyer Attributes his success to the fact that he has never taken a case in which he was not convinced that the defendant was either innocent or the victim of unfortunate circumstances At the moment in the anti-rural of Marshall's office a beautiful young girl and a handsome man of 30 Wait for an audience with the attorney After some 15 minutes of waiting the girl speaks to the handsome man I Pardon me, but are you in a terrible hurry to see mr. Marshall? Well, I know No, that is my business can wait a few moments. Well, I'd appreciate it so much if I could see him first I'll only be a few minutes. I I just got off the train and I've got to see him. I see This is really as bad as all that what you sound as though you're in terrible trouble. I am I really am That's too bad. How did it happen? How did what happen? How'd you get into such trouble? I just Well, I've spent all my money. I'm broke Is that your trouble? Yes. What did you think? Oh, I thought maybe you'd murdered your husband Oh, no, I haven't a husband. I've never been married. No Well, uh, my name is Frank Gerard. Yes My name is Jean Marshall. William Marshall is my father I've been away at school for a year and you know what can happen to a girl's finances in a year So I've either got to borrow some money from father or borrow his car to get home Well, I'll tell you what I'll do is you care to wait a few minutes That is after I get to see your father. I'll take you right to your door Well, I suppose it's all right Are you a client of father's? Mr. I certainly hope to be he's a busy man, but I hope he can find time to handle my business All right, I live in mission hills. That's not far. I have nothing to do I'd love to accommodate you then I won't be with father over one minute. Your father will be right out, miss Marshall Jean darling, I'm very glad you're home. What are you doing at the office? I'm broke father. All right. Here you are Money money money Sorry darling, I wish I could talk to you a while now, but I've got to be in court in 20 minutes See you at dinner. Uh, this gentleman is waiting to see you mr. Gerard. Oh, I see gerard Welcome in mr. Gerard. See you at dinner Jean. Yes father. Bye. Come along Gerard Gerard, Gerard. Hmm. Sit down Seems to me I've seen you before Gerard. Have you, mr. Marshall? Where? Gerard, Gerard. Wait a minute. I know now. You're Frank Gerard. That's right Frank Gerard. What do you want? Why don't you handle a case for me? What sort of a case? Murder case. Murder? Who did you kill, Gerard? Oh, wait a minute. First, I want to know if you're going to handle the case That depends. Who did you kill and what were the circumstances? And remember I want the truth I've got to know everything All right I killed Joe Barkowitz. Joe Barkowitz? So that's what happened to Joe. Yeah And the police are hot on the trail And sooner than you imagine they're going to trace it to me. In fact, they're on my trail now The evidence is going to be so strong against me because we were enemies that Well, I'm going to have a tough job convincing a jury convincing them of what? That I shot Joe Barkowitz in self-defense. Self-defense?  Certainly. I'm not a killer Self-defense. Do you expect me to believe that? Why shouldn't you? Gerard, I know all about you. You belong on the shady side of this city You've pulled several things that have not been traced to you. You've gotten away with them But I think you're very bad material. Joe Barkowitz was bad material It's too bad. You didn't kill each other at the same time. Is that the way you feel about it? I do. And if Joe Barkowitz came to me with the same story, I'd tell him the same thing It wasn't in self-defense. Yeah, I've got a witness. So Nikki Gifford was with me. He saw Joe pull a gun on me. Nikki Gifford? Why I wouldn't trust him across the street. He was Joe Barkowitz's right-hand man until you came along He turned state's evidence so fast that it'd make you dizzy. You really think that, eh? Certainly. I wouldn't touch your case Why not? Because I think you deliberately murdered Joe Barkowitz I've never yet defended a person unless I was convinced he was innocent of malice of all thought So you don't think I killed Joe in self-defense? No, I know you. I know all about you Okay, Marshall. I'll find somebody else. Then find them. I'm not interested.  I'm a busy man, Gerard. Good day. Okay, Marshall Okay Oh miss Marshall. I um, I was longer than I thought I'd be. That's all right. Mr. Gerard. Where did you say you live? Oh, yes. Yes, Mission Hills Are you ready now? I certainly am. I've got some bags downstairs. Can you handle them? I'd be delighted miss Marshall. Come along This is awfully sweet of you. How can I thank you? Oh, you don't have to thank me miss Marshall It's a pleasure A great pleasure A week later, Jean Marshall has fallen deeply in love with Frank Gerard. She's seen Frank night after night Now two weeks later. She's begun to stay out rather late too late In fact to please our beautiful stepmother Sylvia was mentioned the matter to mr. Marshall Jean dear, you've been getting in rather late quite a few nights in succession. Haven't you? Well, yes Lots of parties this summer father. They seem to break up unusually late.  Yes, I've been troubled with insomnia lately insomnia at your age Now you should do something about that Sylvia. Who escorts you to these parties Jean? Why do you always leave here alone? Oh, that's the way everyone's doing these days. Gas rationing The girl meets her escort halfway parks her car and continues on in his I see Well, I'd prefer that you try to get in a little earlier I didn't know you were staying out so late until Sylvia told me. Is that why Sylvia has insomnia? Yes, Jean You never say where you're going or who you're going with if naturally worries me. Well, were you last night? Well, I I went to a party given by jack hyatt. You know the hyatt Of course, but I'm sure you understand what Sylvia and I mean. I'm not a kid anymore Well, I've got to run along now. See you at dinner Sylvia Why didn't you tell your father the truth, Jean? I told him everything he wanted to know You weren't at a party given by jack hyatt last night because jack hyatt has been at pincer colon naval station for four weeks He's on leave. I talked to his mother yesterday.  You're not my mother Sylvia And you're not so many years older than I am.  Are you in love with this man? Yes, I am terribly in love I've never met anyone like him. He's young, handsome and charming and I'll marry him the minute he asks me Does that answer your question? Why don't you bring him to the house? Because he and father had some business disagreement and father doesn't care for him But whether father likes him or not. Well That has nothing to do with me. Who is he? His name is frank gerard Frank gerard You mean Well, what's wrong with him? You oh you can't mean it. What are you so shocked about you know him? No That is not personally Oh, but he isn't your type. He's a gambler a gangster. Oh, that's ridiculous He belongs to the lowest element in town the the underworld Oh, no wonder he doesn't want to come here. He's not in love with you. He's stringing you He isn't a marrying kind. Oh, please jean. Don't see him anymore Oh, if your father knew that it would kill him if we're talking about the same man father is entirely wrong Father forms opinions about people. He knows nothing about from personal experience Frank is the sweetest man in the world. Oh, please jean. Don't go through with this You know nothing about him except what father has told you no Then why don't you stop saying things about people things of which you have no personal knowledge? Very well jean I'm terribly sorry for you. I'm sorry for your father This will break his heart. Oh sylvia. Don't be so dramatic And now several more days have passed and jean continues to see frank jurad but never brings him to the house sylvia has said nothing about jean's infatuation to the father for fear of the consequences Then one day frank jurad has an unexpected visitor at his apartment Well, hello frank and it well come in I haven't seen you around for quite a while. No, I uh, I've been awfully busy lately. Yeah What's been keeping you so busy? One thing or another I haven't heard from you in over two weeks I lose my phone number. No Why don't you use it? I told you I've been busy. I've been out of town a good deal I subscribed to the grapevine.  What else would you call it? Now look you haven't anything to squawk about in it. You've had all the breaks for a couple of years So Just like that.  You're just working yourself up in what dither You said it and frank when I really get worked up, you'll see a dither that is a dither You needn't get any louder I've overlooked an incident two before because they were Near flashes in the pan But believe me this time it's different. You've been listening to a lot of bunk I know where you've been and what you've been doing since the last time I saw you so what? I'm a woman frank. Oh not from vassar park avenue But when it comes to feelings and emotions, I'm just like any other woman. I don't care who she is Waited and waited for that moment when we could be married married. No other woman will ever love you as I have You belong to me frank This marshal girl has no right. No right. Whatever.  You only make a sap of yourself. It's just a natural born troublemaker in it Troublemaker. Yes You had any ideas about marriage. You can talk to them yourself.  I'll show you I intend to see gene marshal many many times And if I should decide to marry her I will So long frank I'll be seeing you.  You might scare somebody And On that very evening Frank Gerard and gene marshal sit in a booth of a quiet roadside inn on the outskirts of town The old innkeeper having no other customers divides his time between serving the food and playing soft music on an old violin Well, I like it here Frank So quiet and secluded. How'd you ever find it? Oh, I don't know. Have you been here before? Once some time ago, you know darling I guess that's why I like you so much Yeah, why well You always seem to know the right thing to do at the right time the right place to go your idea. Yes And we we seem to get along so well together We talk about the many things we understand each other. Yes We seem to have so much in common Mutual interests and things and places and people You we've sort of avoided people Why should we want people around us night clubs positively bore me You you really love me. Don't you Frank? What do you think? Oh darling From the moment you leave me at night until I see you again next day. I I almost Well, it seems like a thousand years All day long I I worry and worry What about But I won't see you that evening. Don't ever worry about that gene Remember that day in father's office When we first met I certainly do Did you feel the same way as I did? I'm sure I did I knew from that moment that I loved you That no one else had ever or would ever mean so much You're such a lovely girl gene Lovely eyes Right here In fact, you're the most beautiful picture I've ever seen in my life I have a wonderful idea. So have I a terrific idea. Why can't we drive someplace out of town tomorrow? That's just what I was going to suggest We can drive out of town and and go to someplace up in the mountains We can swim and fish and boat Would you like that and we could stop someplace on the way some little town? Of course we could just a dozen towns on the way. Oh frank telling us I've never been so happy in all my life. I oh Oh, wait a minute. What's wrong? Oh, I can't possibly go tomorrow gene. I have an important engagement tomorrow a business engagement. It's very important I've got to keep it. Oh, we can leave the next morning early. Won't that be all right there? Well I guess it'll have to be all right good And I won't see you until morning after tomorrow because Well, I'll be tied up all tomorrow evening as well. Oh, darn I can't help But I don't like it any more than you do All right, guess I can stand it Tomorrow morning and all day tomorrow and tomorrow night Well, I guess I can pull through I'll see you at the usual place day after tomorrow What time we better start early Say, um eight o'clock. I'll be there darling The next afternoon gene is in her room packing a few outing things Her father has come home from the office early. So he drops in to see gene on his way to his room Hello gene father. What on earth are you doing home so early? Oh, I don't know. I got a little weary kind of tired lately So I thought I'd just quit for the day. The heat was terrific in town Why don't you give up practicing heaven knows you've enough money Oh, I've thought about it But I just can't bring myself to quit afraid I'll fall apart once I admit I'm through with the profession I should think you'd want to quit and get around a bit and enjoy life See things. You've done nothing but keep your nose to the wheel Where in the world can you go these days? Oh, there are plenty of places to go right around here within a hundred miles of the own door Mm-hmm. And where are you going? Oh, I'm running up to the mountains with some of the gang looks like you're packing enough for a week Really? Oh, no just for the weekend Tell me in all the parties you've been to this summer, how does it happen you haven't been to the willmuts? No, I don't know just didn't happen to fit in I guess Parties at several places every night fine family the willmuts fine family What happened to you and charlie will mutt You and charlie used to be great pals before you went away to school Always like that boy when kids go away to school things like that just break up hasn't broken up with charlie I saw him today and he's still crazy about your gene. Is he? Yes, he said he'd tried and tried to talk to you on the phone, but you were never in Maybe I wasn't I'm taking charlie into my firm as junior partner next week Oh, you'll make a fine lawyer lots of brains that boy. No, he's such a stick in the mud. You could do far worse Are you trying to make a match for me? Is that it? Oh, certainly not. I wouldn't want you to marry anyone you didn't love Good. I'm glad you said that So why don't you let me select the man? I'm sure I'm capable of finding the one I love. All right, but charlie's a fine boy Oh, here you are william You're home early Don't you feel well? Well, you know You're awfully pale dear. You had another one of those dizzy spells. Yes, doctor said it's just my liver Take it easy over the weekend. Gene's going up to the mountains for a few days Mountains. Yes. Well, I think I'll take a nap for dinner Oh, when did you decide to go to the mountains gene last night? You're really going to the mountains. Yes, I'm going to the mountains with some of the gang When tomorrow morning at eight and as usual you don't believe me I think you may be going to the mountains, but not with the gang as you term it Then maybe you'd like to come along to make sure Would you like to be chaperone? Maybe I could arrange it. Please don't go gene. Please don't you'll regret this to the last day of your life Think so. You're not going with the gang. You're going with him with frank juror. Yes And on the way, we're gonna be married married. Oh, I don't believe that Why should I lie about it?  Sylvie, if you don't drop the subject, you'll drive me into hysterics Very well gene. I've warned you I've done my best. You're going to be a sad, sad girl The afternoon passes and evening comes Frank Gerard in his apartment lolls and considers the past and the future Then as he prepares a drink There is a soft knock at his door Good evening. Good evening, Mr. Gerard. Well, please come in What can I do for you, Mrs. Marshall? I want to talk to you. Yeah, well make yourself comfortable Oh, what a beautiful gown, Mrs. Marshall. Thank you. I haven't seen you for some time How long has it been? It's been four years, Mr. Gerard We met last in a nightclub with a group of mutual friends. Oh, yes. Yes, indeed You're captivating that evening and may I say you're most charming tonight? What a line I've often wondered if I've ever seen you again. Have you? Well, here I am and I'm flattered Highly flattered and just as conceited as ever very happy you're here. You won't be when you hear why I came No Oh, how disappointing I I was sure you came just to see me me alone. I did come to see you alone Are you alone? Of course, you're perfectly safe here, Mrs. Marshall Mrs. Marshall The Mrs. Marshall of the blue book Sylvia de la Venti Remember the club national in Detroit? The full e-nationale starring Sylvia de la Venti direct from london I can see it now. So can I What of it? Um, does your husband know all about that? He does. I doubt it Maybe be interested to know, huh? I don't scare, Mr. Gerard And why are you on the defensive? Maybe you know why I'm here. Oh now, please please don't disappoint me I came here to appeal to your decency if you have any. Well Jean Marshall is a fine girl. I want you to leave her alone. I beg your pardon Her father is the finest man who ever lived. He worships her Jean is only the impression that you intend to marry her. I know better If gene got mixed up with you it it would kill her father Did gene tell you we were going to be married? Yes, and you've led her to believe that But you know you've no such intentions and you're going to the mountains with her in the morning That's right, but not to get married Mrs. Marshall if you were to run along home now and forget all about this and tend to your own business I might see to it that your husband never knows all about you that might be told You don't like gene's father and he doesn't like you Why would you want to marry a girl under those conditions? That is none of your business Maybe I'll make it my business.  You'd better run along now Then you won't listen to me. My appeals to your sense of decency mean nothing Now look I've had You better get out of here go out through the back way and through the other hall very well But please consider what I say. Yes. Yes. I'll consider go on Just a moment Darling, I had to see you. I just couldn't stand to be away from you so long I didn't expect to see you this evening. I knew you said you were going to be busy tonight, but I'll just stay a moment Oh frank darling, it's been a million years this day. Yes, dear. I missed you terribly, but well I didn't expect you and I just wanted to see you for a second at all Are we driving tomorrow or taking the train? We can drive if you like. It's not far. I can take my car I love to drive the top down and yours isn't convertible. All right, we'll take your car. All right I'll go now night darling Tomorrow's going to be the most wonderful day of my life But I've said that before so many times. Good night, dear. Thank you. Where are my slitters? What Who is that frank? I am the slightest idea Friend darling Sylvia Why jean, what are you doing here in those pajamas? How'd you get into that bedroom? What are you doing in my pajamas? Why I so you didn't know frank jerard never met him No wonder you tried to talk me out of Mary and you had a business appointment So this is your appointment. This is why you couldn't leave this morning. She just came here a minute or so ago I didn't know you didn't expect me. I thought you were terribly startled when I walked in I see it all now jean will you wait? Sylvia warned me She told me you were no good Now I know why. She was telling the truth. Sylvia knows you.  Gerard, maybe that will take the wind out of your sail. I'll just slip into that bedroom I'll change now if you don't mind. You think you're very clever, don't you? Well, how'd you like it if I picked up this phone and asked a friend of mine down the whole step in here Finds you in this condition. What? Well, you wouldn't do that. That would be wonderful, wouldn't it? Famous attorney's wife found in Frank Gerard's apartment in pajamas. How'd you like that? Wait, don't do that It won't take a second. Please don't please.   What? On the floor of the bedroom. We found this locket with your name on it pictures of you and your husband But but how could that have happened? That's what we wanted to ask you about How do you think your locket could get here? I I haven't the slightest idea Oh, hello captain. How are you bill? This is my daughter Jean Sylvia, what are you doing here? I sent for a bill Frank Gerard was murdered murdered We found your wife's locket on his bedroom floor I don't like to stir up more trouble than necessary. So I called you Here's the locket This is your Sylvia. How did it get here? Did you know Gerard? Yes, I knew him Years ago. What were you doing here? I came here to talk to him. What about? This is serious, Sylvia The truth now Would you like to tell them Jean? What does Jean know about it? Go ahead. Tell them Jean Very well I came here to talk to Frank Gerard last night because Jean had fallen for him and was going to the mountains with him for the weekend She thought he was going to marry her, but I knew better That's how my locket got here Jean. Is this true? Frank Gerard? She's lying I was here, but I learned she was in love with Frank and I came here to persuade her to give him up for your sake She was here when I came in in the bedroom in pajamas Sylvia That's right. I thought I could convince her that he was no good So when Jean knocked I slipped into the bedroom instead of out of the back door put on the pajamas and stepped into the living room But I left a few minutes later and I didn't kill Gerard Were you in love with this man Jean? No, I didn't even know him Jean. How can you say that? I'm sorry to say it, but mrs. Marshall is in a tough spot Especially with this locket. You didn't know this man Jean. No I left here before Sylvia did so if anybody stabbed him it must have been Sylvia I certainly didn't kill him if that's what you mean. Well, you've got one more suspect coming. I hope Here she is captain. I'm waiting for a train. Oh, yes. Come in mrs. Laverne What's all this about just want to check on a few things in that When did you see frank last? I It's been weeks and weeks. We split up Why what's happened? Frank is uh, well, he's in that bedroom. He's been murdered murdered Oh, no, you haven't seen him for weeks and weeks No, no, I haven't turn on that dectophone machine you found sergeant Say Annette Frank Gerard If you marry this marshal girl, if you even see her again Well, I think you're bluffing in it laverne.  Yes, but I didn't shoot him I couldn't have killed him. I love frank. I that miss annette laverne is the most conclusive evidence I've ever come across I didn't kill him. I didn't I tell you I'm a long annette Sorry, but there's nothing else I can do How did you say gerard was killed with a paper knife he was stabbed Mr. Laverne, I'm William marshal and I'm going to defend you I think you did society a good turn What if you consent? I'll defend you and from what I know of this case I'll practically guarantee that you'll be acquitted. How about it? May I help you? Yes, but But I'm innocent you're innocent of any wrong as far as I can see I think what you did Is pardonable Yes, mr. Marshal so far as you can see Annette did a good deed gerard was a blot on society The evidence is conclusive against her, but you'll get her an acquittal and why Because you know she deserves an acquittal She didn't kill gerard, but you know who did Yes Your daughter gene and how do you know? Because gene was the only person who knew how gerard was killed Gene said that if anybody stabbed frank it must have been sylvia Nor did mentioned how he was killed so if gene knew he was stabbed she must have been in the room But gerard is out of the way now. He'll be no further trouble to anyone CBS has presented the whistler Original music for this production was composed and conducted by wilbur hats The whistler is written and directed by j donnell wilson and originates from columbia square in hollywood Next week same time either whistler will return to tell you another unusual tale Good night. This is the columbia broadcasting system


welcome to my channel. So for this video I'm going to show you guys how to get this very 80s, model-y type of curly look that is totally wearable for literally any event you're going to and what's awesome about this is that the curls stay for so long that you can go for like four days without doing your hair and your hair is going to look perfect. So let's go ahead and get started. So what you'll be needing is a curler like this. I don't know if that's called half an inch or an inch. I'm going to put it in the info there because I have to look it up. But just something very thin so that way you can get those nice 80s curls. So first thing you want to do is grab about a piece this big and start really close to the root and just twist it around. Alright I'm going to let that heat up and be sure to use heat protectant. I forgot to mention that. Super important. I already have some in my hair, luckily. Alright and then you're gonna let that go. Now I know that looks crazy but we're gonna be brushing it out and stuff. And I like just to hold it up for a couple seconds so it kind of doesn't fall just like that. Can you believe that was like way down here and look at it now. Isn't that insane? If you have shorter hair definitely go for a bigger iron so you're not left with hair this long. Probably should have mentioned that before. Okay grab another piece and go the opposite direction. So always change the direction of each curl so that way when you brush it they're not all stuck together. We're gonna grab them here and literally this is all you're doing. You're going in out in out changing the direction so they don't stick. So I'm just gonna go ahead and speed towards the rest of this. Okay so let's go ahead and move on to the bangs.  Go ahead and brush out your hair and once your straighteners heated up we're gonna be passing our straightener into a C. So go ahead and do that and just 180 your straightener and then do the same on this side. So first go ahead and brush your hair out with your fingers. Just separate pieces and the key to this is really to separate the curls because it's gonna automatically add more volume.   So I just kind of make a little little thing like that. Really contours your face nicely and then I like to lay this down that way and lay this down that way. Alright and you're done. So this is a look that you can wear if you're an 80s babe and still look amazing and updated but you still have that vibe and that's what I really love about it and I'm so excited for you guys to try it. So if you do make sure you give this video a thumbs up. Tag me. I would love to see your looks and how they came out. If you guys have any questions or something isn't coming out right make sure you let me know and I'll be sure to answer that and make sure you subscribe for more cotton like cotton content like this. I upload 50s and 80s style videos and stuff like that but yeah I'll see you guys in my next one.


What is it that separates the experts from the people who follow them? A lot of this has to do with Malcolm Gladwell's idea of deliberate practice. And this comes from the research of Anders Erickson. Basically people who stay really focused and put a lot of time and effort into what they're learning tend to get really good at it. And if you don't put in that effort, if you don't put in the work, you can't expect to get to the same levels. So I want to talk about mentors. I've had a lot of mentors in my life. I've been fortunate in that respect.  Okay, those diversities of experiences can help shape us and keep us creative and keep us thinking about things in a fresh way rather than just stagnating on the same thing over and over and over again. So specifically with mentors, I want to talk about how generous mentors are with their time. So the ones that have the impact on you, the ones that you remember as mentors, they put you first. Or if nothing else, they make the time for you. You know, I go in, you know, I used to live in Indianapolis, Indiana. I lived there for a long time. I worked at Indianapolis Fitness and Sports Training for a long time. I just went back and visited and I got a chance to see Bill Hartman, one of my good mentors. And he sat around for two hours after his workday and just chatted with us. And it's that level of generosity that causes the growth of the people around us. That's the pay it forward aspect of this. If he does that, then, you know, I'm inviting people to my house here in the next hour. I should probably start talking faster so that I can wrap up for them. But this idea of being generous with your time, it creates this abundance of results that we can then all experience. So even though I am giving some of my time away, the benefits are just tenfold, right? So I feel good about spending my time. I feel good when I see somebody who's learned something that I taught them. I feel great when they put that in action, right? And this idea of managing your time then. So to segue a little bit away from the mentors, why are those mentors so effective? Now, again, I think it's the time but they have to prioritize their time. We're all short on time. We all have too much to do. You know, when I was going through undergrad in university, so I had somebody, just a friend of mine, maybe even just an acquaintance, he said, there are three things that you can focus on.  Three things. You can do two of those things, but you cannot do three. And every time I've seen someone try to do three, they half ask them and they don't really do any of them. But I have seen people successfully slam dunk two of them. So school life is basically your career life. And for me, I can spend a lot of time kind of building a relationship with my girlfriend and I can spend a lot of time building up my business and trying to impact others in the way that, I find motivating and rewarding. But I don't go out at all. I have to go to bed early because I can't stay fresh enough to think about those things. I don't even hang out with my friends as much as I'd want. So occasionally we can get a pretty small group of us together and we can have really deep, meaningful conversations and it's very rewarding. But the thought of doing that every week or twice a week is overwhelming to me. I just don't know where I'd find the time. One of the things that, to come back to our opening statement, what separates the experts from the people who follow them? It's this time, it's this priority.  If you aspire to have the relationship skills of Esther Perrell, you need to sit and think about and coach others in their relationship and yourself in your own relationship. For hours and hours and hours every week, you need deliberate practice. Just like if I wanna get really good at Postural Restoration Institute techniques or DNS or whatever mechanic system that you like to subscribe to. If I wanna get really good at coaching people getting stronger, I need to coach people getting stronger. I need to repeat these things over and over and over again.  I would encourage you to make the time because that opportunity is very rare.


This is about the university, the app is basically to have the, this way the timetables, labels and the board which will help the university students. We have these programs in the programs. We have a programming foundation which will, there will be the basic FAQs about the subjects, what will be in the subject and everything. It will be about the subject and the common things FAQs within the subjects also. And there will be a university programs in which we can select a branch, computer and all and we can check the syllabus for the particular semester. We have made the provision so that students can upload the programs. We have yet to implement the afford and download functionality. I can show you the very thing, user can upload the program. There is an upload program functionality. See the assignment name is something and this is my program. And I can submit the program. As of now we do not have a good list display. It is simply just for an understanding we have made the list view. List view will display all the programs and everything. It is not visible if anyone wants to please come and see it here. So basically it has the programming fundamentals. That is the one section which will have the FAQ date. What is company organization? What is the FAQ students have usually? Other is the university programs in which the student can select a branch and move it to the subject and check what is the subject. Basically it will also have the timetables, labors for that subject. And then next is the search functionality which is currently working with our local database which is SQLite. And next is the search online which we have not yet implemented yet. Next is the upload program. A new student can upload the program. Say for the link list for example. So there will be many link list programs. And there will be a proof records in which student can get the program. And we have yet to implement the upload and upload and download functionality. That is to be implemented. But we have done this much. Let us sit.


Let me show you another example of another example of a problem. Suppose, let us look at problem number 6. So, suppose you have the, let us consider the case where suppose my equality constraints, these equality constraints, this are actually linear. So, this is actually the same as, so hj of x equal to 0 for all j equal to 1 to p is equivalent to doing, say Ax equals b. Suppose, so what this means is, so if I more precisely, if I look at all the x's for which hj of x equals 0 for all j going from 1 to p, then that is actually the same as the solutions of this linear equation, system of equations Ax equal to b. And now of course, this will be this sort of thing where has an interesting solution only when p is less than the number of variables which is n. So, if you have, if my x is in rn here and my, so then this is, so my number of rows here, so a has to be in p cross n, sorry, number of rows is p. So, if you have this sort of a problem where you have equality constraints like this. Now, when you have equality constraints, so or that is basically another language, the system of linear equation, we can always find the solution set. So, the solution set of a problem like this would look like this, it will look like some fx, sorry, it will look like some fz plus x0, where z ranges over say some rk. How do I get it to this sort of form? Remember, we are talking of p less than n, right? You would get, you get this in this sort of form by you need a particular solution which is x0 and then you need a, so any solution x that of Ax equal to b, whenever you have a solution like that, then you can always add to it and take some vector y say in the null space of a, take the vector y which is in the null space of a, then that x plus y is also a solution of this system of equation. Now, the null space of a has its own basis, right? The null space of a has its own basis. So, let the basis of the null space, let the basis of the null space be the columns of f, right? So, if I take the basis of the null space as the columns of f, what I need to take any solution x0, a particular solution x0 and then add to that the entire null space of this, of a that would become my, that then gives me the same, that is the same as the solution set of my original set, yeah. No, no, no, I am saying suppose that is the case. So, it is not equivalent, suppose it is, okay? So, we are considering only that case where this is, where you have linear equality constraint. So, in that case then now what happens is because you are able to do this, your entire problem can now be transformed. So, you can now do, you can get rid of your equality constraints altogether and do this substitution. What is my variable now? Now, my variable is z. So, I can, so and z is just anything in rk and there is no constraint on, there is no sign constraint or anything like that on z, it is the dimension of my null space, you can see, okay. So, this problem is now what have we done as a result? Every x that satisfies Ax equal to b has been written as equivalently as an fz plus x0 and I have substituted for all such x's as fz plus x0 and put them back in. Once I do that substitution, this is equivalent, to the original. So, all the x's that satisfy Ax equal to b can be written in the form fz plus x0. Likewise, every x, everything that is in the form fz plus x0 satisfies Ax equal to b. So, as a result my equality constraints can be removed altogether. So, if you, this kind of way, if you have a way by which you can solve for one set of variables using the equations or the constraints that you have, you are welcome to do so. That gives you an equivalent optimization problem. So, this problem here, this problem let us call this problem 6, 6 is equivalent to problem star. In what sense? What about the optimal values? They would be equal, optimal value of star is equal to the optimal value of 6. How do I relate the feasible regions? So, 6 is written in the z space which is rk star was written in Rn. But still they can be related, they can be related because of this relation. So, through this relation you can, so for every x that is feasible for star, there is a z that is feasible for 6 and z is equal to and x is equal to fz plus x0. For every, so x is feasible for, sorry, for every x that is feasible for star, x0 is the, well it is what is called the particular solution of this linear equation. Let me show you one case where again cautionary note, while you are eliminating equations and so on. So, this, so the one case where you should be careful is this sort of case. Suppose I have, let me suppose I have this kind of optimization problem. So, this is not exactly elimination, but it is rather some other form of transformation you can say. And suppose I have again linear equality constraints, so simplicity, linear equality constraints, some Ax equal to b. So, this is my, this is one problem. Now what I do is I, let me suppose I multiply these constraints, the equality constraints by a matrix m. So, I let me left multiply it by m. If I am left multiplying by m, what can I say about this problem 7 compared to the original problem? So, if m is non-singular, then of course you can just multiply again back by m inverse and you will get back the original problem. Now the reason I brought this up is, so is because there are in many cases m is not singular. Now if m is not singular, like for example, m is suppose just a vector, just a row vector, a row vector that you are multiplying on the left by and like on the left hand side and likewise on the right hand side. What you are effectively doing is doing a weighted sum of all your constraints. Now one of the things that students tend to do many often when they are all trying to solve optimization problems, they see these equality constraints as equations and then they go about, okay, why do not I add these equations, let us see what happens, this cancels, that cancels, etc, etc. And in the process what they are doing is applying linear transformation. Now they may get a solution of these equations. You really need to carefully ask, have you captured all the solutions? You may get one solution while you do this, but you may not get all because generally you have more variables than equations and what you will miss out is this whole range of solutions in the null space. So if m is not singular then this kind of elimination whatever you do by adding equations, subtracting equations, etc. That is, all those transformations are effectively amount to multiplying by some m. So be careful whether your transformations are actually giving you all the solutions or not. So that is the reason for explaining this. Does the sign of m matter in all this? Can you subtract equations? Can you add equations freely? The sign is immaterial, because you can always add equations, subtract equations, no problem. What matters is non-fingularity. Now what if I had to do the same thing with my inequality constraints? If I suppose I had these inequality constraints, let us suppose we write them for simplicity as some Cx less than equal to D. If I had inequality constraints like this and if I multiplied both sides by another matrix say, multiplied both sides by another matrix suppose p, is that valid? What do I need on p? So for this to be valid means that firstly inequality has to be preserved when I multiply. So p, so it has to be the k, what are you doing effectively? You are multiplying each of the inequalities by a scalar and each of them needs to be preserved, otherwise this whole operation is not going to be a scalar. So you need that p has all entries non-negative, has all entries positive. And of course you need then non-singular so that this is this is equivalent to the original. So when you have inequality constraints as the other danger of flipping the direction of the inequality and changing the entire region over which you are optimizing. One last point let me make about again this is not exactly related to transformation but this is again an important trick. Suppose you have an optimization problem like this which is over two variables some variables x and y and you have constraints also over x and y. So you are minimizing over both x and y so this is less than equal to 0. The question here is is this the same as optimizing first over x, first over y and then over x. So fixing an x I optimize this over y or vice versa fixing for optimize first over x and then over y. Question is does the order matter or when we are faced with an optimization problem we can freely we can optimize in any order we like. No, no you are eventually minimizing over both. Question is can I do piecewise? When I do minimize over one first keeping one fixed then minimize the resulting thing over the other variable may not be but I am after that I am revising over the first one also. See I am minimizing over x after I have minimized over y. So it is incorrect to say that y will be fixed. So let us understand what we are doing here. So when we are minimizing over x and y the objective is to goal is to pick jointly a pair of x and y. So you have to pick that pair combination correctly. So when I am doing saying first minimize over y then over x what I am doing is fixing a value of x finding a y. So my necessarily my y is going to be a function of x. So it is not so this is something to be remembered when you do it analytically of course you will get y as a function of x but when you are doing numerical computation this will this is often not evident because you will get back some number you will just input that number and forget that it is dependent on x anymore. So y is a function of x I put that y back as a function of x then I will get some complicated function of x in which y has been eliminated and then I will I optimize that over x. So this can always be done it does not matter what the order is but there are some practical issues though. Remember whether you can whether a pair of x comma y is feasible or not is not evident until you test the pair itself. See that pair whether it is satisfying all the constraints or not is not evident until you test the pair. So it may not be that for every x you can get a feasible y. So you fix an x outside you search search search you may you satisfy the first constraint second constraint third constraint you do not satisfy. In what what does it mean you cannot satisfy that constraint there is no y that satisfies first second and third together which means that the x itself needed a change. So you need to start with a different x and then you search again over y or maybe then again start prior different x etc. So in the presence of constraints this whole procedure gets messy. If you do not have constraints in the in the unconstrained case if you just simply had this sort of problem this is absolutely no no issue you can always do this minimize first over y then over x or minimize first over x then over y. As I said in the presence of constraints also it is valid but it is messy if this this is this is this is sometimes the easier thing to do when you get when you notice that your objective has some structure that it is simpler in one set of variables than in the other target those variables first optimize over those get those in terms of the others substitute back solve all right fine. So this is also another case of you can say roughly speaking transforming optimization problems you are getting rid of some variables by optimizing out them out okay all right. So we will stop here.