I'd like to introduce our three panelists. We have our very own Usheen Boydell from right here in Ireland. He's a data scientist with CDAR and UCD and he spoke earlier this afternoon. So Usheen's background is in data analytics, machine learning, personalisation and recommender systems and he spoke about machine learning, AI and differentiating between the hype and reality. We have Kim Nielsen from the CEO and founder of PIVIGO based in the UK, am I correct, yep, and with a PhD in astrophysics and an MBA from Cranfield School of Management. She has given a talk as well today and her talk was on from data dinosaurs to data stars in five weeks, lessons from completing 120 data science projects so we'll talk a little bit about that too. PIVIGO is a data science hub, our marketplace based in London, maybe you could tell us a little bit more about that. John Elder is no stranger to us here in predict having spoken at the previous three events so welcome back again. John is of course based in the US and he leads the US largest and most established data mining consulting firm Elder Research with offices up and down the east coast. John is running his workshop tomorrow, core machine learning and data science techniques which will be hosted in the Herbert Park Hotel right beside us here. So still tickets available, I highly recommend it, I'm going myself so looking forward to that. So without further ado, I have some questions here from the curated information that we've gathered throughout the day from Twitter and from interesting talks. So these are open to whoever. So starting out, I guess what struck you, anything unusual or new in predict 2018 that struck you that you might have thought unusual or you didn't expect anything you'd like to comment on? Who'd like to take that? Sure. Well one of the things I noticed was that there was four talks today with the word hype in the title including my own. So I think you know one of the things that I noticed is you know this use of the word hype around AI and data science and there's a sort of need I think from people to kind of understand what is the hype and you know what is the reality and that was definitely a consistent theme that I noticed across a number of talks today. And that's what predict is all about, isn't it? Trying to demystify and debunk the hype and really get down to the real practical applications and I think we saw some great ones just a moment ago with the biomonitoring and the devices that design partners are creating really practical and working solutions that are delivering. Any other thoughts from Kim or John? I was particularly happy in this very last talk as well to hear about the word empathy used. So I think that is going to be it's not yet very much talked about in our data science community but I think it's a topic we should talk a lot more about is how we can become more empathetic with whoever is going to be the end user of the algorithms that we create and so on. So I think that is going to be a topic to look out for in the future and to discuss more. John, any comments or thoughts? There were a lot of good talks and I like the ones that combined the business issues along with the technological. Kim's was particularly good in that, done a lot of successful projects and was outlining the path you have to take and the stakeholders involved very efficiently. I love that talk. Because we've learned over the years that obviously the technology is extremely important but the main killer of a project is the resistance to change. It's people related, the biggest danger is other people and not the technology risk. Yeah and I think that's where the whole concept of design has really tried to play into that and I love the way Cormac said you know you have all this data and at the end of the day the system just says great job well done and all us data scientists are thinking but look at all the data you could have presented in graphs and tables and charts but all they want to know is good you've done well today. I had to get rid of my Fitbit. It was in charge of me instead of the other way around you know all that gamification and metrics. It's too attractive. So another topic that came up today that wasn't actually prominent in previous ones was the concept of dark data or people call it black data so that was new to me. I don't know if you guys would have any thoughts on that or what that might be from an organization's ability to do data science. Any thoughts on that one? I must have missed that talk. I'm not quite sure what the definition of it is but of course every organization will have large pools of hidden data. It exists out there and actually one of the points that I was trying to make was that often an organization starts thinking they have data but when it comes down to it where is it? Who owns it? Who's got the keys to that locker essentially and are they willing to hand it over and that's a big challenge. And there are always surprises in data. I think one definition I made up for big data is it's data nobody's looked at. So you know they have data they have myths about their data and then you finally look at it and you discover artifacts that sometimes are more important than the models themselves about how their business maybe a flaw in their business or something. So there's a lot that we can add to a company even before we model or forecast just understanding what they have. I think in the context of unstructured data as well and huge silos of opaque data where there isn't really much kind of understanding to start to kind of get an edge on it that that's a perennial kind of issue. Yeah I think data is key and I think earlier this morning we talked about is it about smart models or smart people getting smart data into their models and I think these days there's models all over the place there's data robot that can run a hundred models against your data set so you have to be very careful with with the data you choose and that's where the real thinking comes in and spotting those small anomalies that might lead you to a big insight or else it just might be bad data that is meaningless and that's the interpretation of data is key. To know it's an anomaly you have to have some domain knowledge you have to be in close cooperation with the folks who have the business which isn't possible if they see you as a threat or you know so there's all these human factors that you have to take into account to really have success. And in previous years John you talked about delivering projects that were technically successful to large companies often that had good actionable insights but unfortunately they sat on the shelf maybe you could tell us why and have you experienced that becoming less of a problem since the few years ago when you talked about it? That's the biggest problem we've ever faced in our first decade 90 percent of our projects worked technically but only two-thirds of them were implemented and our second decade is closer to a hundred percent because we choose our clients better and and then about 90 percent are implemented so we've really come a long way I think in the industry it's more like only a third are implemented I remember when Microsoft they were talking with me and they were astonished that I had two-thirds of them implemented because internally they were only getting a third of them actually implemented which is astounding you think about this expensive meal the chef is prepared customized for a patron who likes it pays for it and then you find it scraped off into the trash at the end of the night you know what's going on so it's these human factors of lack of trust and you lack of trust in the model change fear to what's going to happen to them and these cognitive this cognitive biases are something that are extremely important probably more important than the technology once you reach a certain level of confidence in the technology you really need people who speak human yeah absolutely any other thoughts on have you any either of you experience that same thing with a really good technical project you're delighted with the output but all of a sudden the engagement with the end client or whatever for some reason it doesn't engage I guess Cedar sees that as well with all these demonstrators and trying to get them out there into the marketplace that's right so we see that from a number of different perspectives and in some scenarios as well a company might want to do a particular demonstrator project of some sort of quite out there idea that they have which is you know really exciting for them to work on and work on their data and show these kind of possibilities but it might be something that really aligns with their current business at the moment and that's it could be kind of too far ahead of their current business roadmap that's one of the challenges with the Cedar model is that you know Cedar are available for companies to go oh I'd like to try that out you know I don't have the skills I don't have the capacity will you try that out and that's great and you can try things out but then it's really getting that back into the core business because it is by its nature out there and so it's interesting to see now Kim's done a hundred and fifty projects coming to that five months so how do you how do you do that well in five weeks five weeks sorry yeah well it's similar it's similar style projects where it's often about companies doing a proof of concept and trying something out and and yes absolutely horror stories unfortunately of companies that where we have delivered algorithms that we have shown can save the company millions of pounds or increase revenue by millions of pounds and you check back a couple months later and nothing has happened and one particular horror story where the whole company including the CEO and the board were super excited about it but the CIO blocked it because the CIO just said no doesn't fit with our systems doesn't work and and and again in my talk I talked about find the skeptics in the organization and try to convince them bring them on board early because what happened here was that no one had talked to the CIO they'd gone ahead done the project and then sort of dumped it in his lab and said get it to work and and there was that that cognitive bias you know I don't want to do that I want to be part of it so yeah good um so um also on that point um in terms of deep learning have you seen adoption of that in the become more mainstream or how do you engage the progress level of deep learning in industry um are there real projects being executed successfully are there still in the early days of deep learning any thoughts on that yeah well I would say I mean I think deep learning is it's like it's hugely on the radar at the moment and I mean I think there's a lot of tasks that I can do that just aren't really viable with more machine more traditional machine learning techniques so I think you know that we have seen a lot of interest in that with with cedars members companies as well and particularly some of the the benefits that deep learning can bring in terms of maybe negating the need for so much low-level feature engineering which then allows companies to apply these with less sort of very specific domain or or data science expertise if you build the right tools around that which is something of interest yeah do you see that as well over in the US deep learning is by far the most hot topic yet I've not touched an actual application yet but it's inevitable because it is actually powerful I mean as as anytime you have neural nets the hype outweighs the reality but the reality is still very good and and there will be applications very soon I'm sure and did you focus on that in your and if you're 120 projects one or two one or two but that's typically the startups that are working on the on the absolute absolute cutting edge that that are trying to do something completely new with any of our more established partners no not yet very good and keep your questions coming in on on Twitter if you have any questions at this stage we do do have a little bit of time so hash predict conf if you want to tweet something in I'll keep an eye as best I can and still have some more here so so we talked about data driven culture in organizations and what the how do you think what what steps can be taken to help companies to become more data driven in their culture and can they get to data driven and lose some kind of spark of creativity within their staff or workforce that that could be detrimental and he thoughts on on on that that's an interesting question get to day driven we're always pushing people to be more maybe maybe we can go too far certainly can go too far and getting them excited about analytics and then they think oh my gosh you can do everything you're like wait wait no wait come back you have to manage expectations a little bit but the the sign that they're getting more data driven is when they start thinking about investments that they want to make in terms of doing things just to get the data to see how it turns out later you know and that's that's definitely down the line but that's exciting when you start to see thoughts along those those realms and of course you're not going to get there unless you have those those pilot projects that get that early win and and get that return on investment with a measurable goal usually doing something that they're already doing just doing it better faster you know more uh accurately um and then and and trying not to do a moonshot trying not to do boil the ocean or use whatever analogy you want to try not to do the big projects that typically have a very hard time succeeding but do those small ones and then momentum will build yeah yeah I think we had a horror story of an organization that went too far in in the UK in the last six months and that's Cambridge Analytica yeah and I think that's that's actually one of the theories about going too far is when you have an organization that is full of super smart super focused people who just want to see want to push the boundaries of what they can do and they don't consider the consequences of what they what they do they just want to solve the problem and they don't care why they're solving it or for who and and they obviously went too far and it brings back the question of how do we maintain empathy in our industry and how do we maintain ethical use of data etc and I think everything comes down to the culture of the organization obviously that was a toxic culture in that organization and in that in turn comes down from the leadership and the communication throughout the organization and it just needs to be on point whether it needs to become more and more data driven or less it's about making sure that you communicate from the top what you want to do with your data I think ethics is becoming more understood now that the dangers of you know being totally data focused and whether you can do something doesn't mean you should do it so I think having that ethics committee and universities do this you know when you're applying for grants and there's any kind of human studies or interactions within those grants there's usually an ethics committee that has to sign off so I think companies are a little bit behind in that the techies can be do things or the management maybe doesn't know exactly what they're doing or what data sets they're using are those data sets diverse enough are they biased and what is the impact of this work so I think kind of a maturity in AI and modeling needs to arrive where people can have explainable AI and we talked about explainable AI this morning as well and then the decision makers can really understand what are they doing and should they be doing it and then have a kind of diverse group who can look at these things from an ethics point of view I think that's going to be crucial do you have to get your stuff by ethics committees and UCD sometimes uh machine yeah I mean yeah of course and I mean with you know GDPR and and these regulations you know it's that's a measure of example of how important it is and I mean I think yeah the explainable AI is well going back to the accountability of models that you know there's just thinking about that now whereas maybe a number of years ago that that wasn't really thought about so much I think deep learning and explainable AI to me seem a bit counter what you had to call it orthogonal I suppose because essentially that's the whole point of deep learning is like you just throw the data at it it figures out all the probabilities and it's really just high powered statistics with high powered computers figuring out all these probabilities that you could never really explain but I guess you can explain the process and the data and your assumptions and then the models and how you train them yeah and and I think it's a lot to do with the context of where these models are used as well some decisions that you want a model to make you just want the most higher accuracy as possible it doesn't matter they don't have to be explained as such they might have kind of direct impacts on people for example whereas others you do so it's it's a matter of using the right tools for the job there as well and I understand that the sometimes the explainable models are less powerful than the non potentially explainable models so then you have the dilemma whether you should be using the best model for this particular diagnosis of something or other or should you use the explainable one which you don't trust it as much but you can explain it so therefore is there an ethical challenge between those two ideas and there's no harm in running them both and then if they agree you're both happy right maybe that's a choice in the future when you go to your db it's like do you would you like the answer that is most likely to not be wrong but it'll be less likely to correctly diagnose you that's the patient you want the right answer or you want something I can explain it's depends on what the question is I guess right I really like the session this morning on the customer journey analytics and Disney as customer experience was raised as a an example of doing it right and I think again using data to drive that and pushing some of that data to the front lines and the people who know the customer so they can interact more more powerfully with or you know more effectively with the customer is a great example of how think companies are thinking now and even Disney was thinking like that so this comes to kind of the the collaboration again between user experience design and data science and how how can those two things really coexist are there conflicts there sometimes or are there challenges in getting those two things are they mostly in your experience well aligned and you know reinforce each each other any thoughts on the model that's going to be consistent but it's doesn't have any common sense can't look at the situation I was a year or two ago united airlines ended up like handcuffing somebody and taking them off the plane when you know if they just raised the amount they were willing to offer volunteers they wouldn't have lost millions of dollars in stock value after this horrific episode you know and and yet the the employees were actually following the manual they were following the algorithm of what to do because that company had put a lot of emphasis on standardization of processes and so forth and no one felt armed to make a judgment call at that point so if your people are really good you want to give them as much power as possible and where you have less capable people you need the you need the things but it's it's definitely it's definitely a judgment call all the time yeah combining those two things the computer and the human at the who are is at the cutting edge and has really good decision making capability like you said in that example you know it just makes sense so but unfortunately the computer says no is a kind of a phenomenon these days if you're at the checkout at one minute past 10 and that you're trying to buy a bottle of wine and the computer says no simply can't pay for it because the check it says no so any other thoughts on that coexistence of user experience design and data science and in your experience Kim and in the projects you've been doing see it as important yeah so most of our projects sort of end before well at the algorithm stage before it actually goes out to a user and I thought it again it was very interesting from the very last presentation now about the thing that maybe you just have to tell people you're doing all right that's all they need to know and I think it is there's there's something we need to balance there because on one hand we have to make the outcome the insight easily accessible to the users to the end user but the same time we also have an educational prerogative I think to to make people understand how their data is being used and why it's being used and how they can influence it themselves and therefore I think we should also try to educate that audience and explain or at least give them the option to understand how the data was used any thoughts or yeah well I mean I think you know as well going back to that and it's kind of related to explainability explainable AI in a way as well that you know for in the context of some task for some people they just need a sort of yes no answer at the end of the day you're doing fine and then in other cases you need some kind of explanation or the end user might want to know that and they might need that information so it's very kind of context specifically and I suppose a really well designed system will tell you you're doing fine but if you really want to drill down and only three percent of people might but they can drill down and say okay why are you saying that you know what's doing what's good and what's bad or what could be better so having that design I am an outlier here I'm sure because I actually think interpretability is a grave danger I think more harm has been done by paying attention to interpretability than by saying okay I'm going to make sure I have really good science around my black box but the people really want insight they really want interpretability and that innate human need I think has to be paid attention to whenever possible so there are these interesting technologies out there now for helping people do locally linear models at least so they can explain what the sensitivity is at the point where you are on the model you know and there are laws in the U.S. that if you're to turn down for credit you have to be told the five major reasons under your control that have anything to do with that and so these are very helpful forms of forcing some at least some sort of interpretability on but in most of my experience a lot of data modeling problems come from paying too much attention to interpretability because people fall in love with an interpretation they want and then they stop listening to the data okay once they have once they find something that they like they they pay attention to that and it's way worse than the model they could build if they would just let it go yeah yeah so you can fall in love with the the concept and start biasing your thinking bias everything the data yeah I agree I agree that that's true and two more quick questions one is about future skills needs you know we talked a little bit about this this morning but with with all of this power of technology and modeling coming on AI even coming into force what do you think are critical skills we should be teaching our students and how do they cope in this in this world of data and AI any thoughts or she's well I think I mean there's a lot of discussion around you know Python or R or these these kind of technical skills which is important obviously but I think underlying that particularly in data science is a curiosity and a sense of curiosity and questioning and to sort of foster that that kind of approach because I mean that leads to wanting to ask questions about the world and then asking questions of data to find out like Python and oral come and go you know we've been through different technologies and languages but having that ability to continuously learn but how do you instill curiosity then is it is the next question I'd I'd yeah well I mean I think that probably has to come from kind of quite early stages in in education so you know young children should you know have the curiosity in in that age group and then that builds a yeah their life yeah any other thoughts Kim I would like to add as the flip side of curiosity we also need skepticism okay in the sense that we can be curious and we can try models and and we want to explore as much as we can but then when something comes out we have to be able to look at it and go is that correct have I been biased somehow is there correlation when there's is there causation when there's correlation and be skeptical and really then try to twist our model around and see have I made a mistake anywhere so we need to we need to have a curiosity to try things out but then also take a step back and in that scientific approach really tests the outcomes critical thinking and I think that's a skill those are vital and you can't do it alone because if you the thought of a weakness in your model you it wouldn't be a weakness you have to have other people critique your model and that means you have to have a culture where that's a good thing where you're not attacking the person when you attack their model you know you have I teach occasionally at the university and every now and then you get a student who's thankful for the marks that you give on their papers or their work mostly they come up and negotiate in America I don't know if that's the way it is here but in America they want those extra two points you know but but every now and then the student realizes oh my gosh an expert has carefully read everything and has responded to things so that's that's a great sign you want to hire that person you know the the groups if you have groups where people are free no matter the rank of the person with the idea to say well what about this have you thought about that did you turn the machine on you know various things and it's not taken as an insult but it's it's a it's welcomed as a way to make truth be found and success go forward because reality is going to kill your model if you can't you have to you have to work really hard to kill it in the lab to avoid having it die out in reality it's a great point actually yeah and I think that peer programming and kind of philosophy are you know agile and scrum where third people work in teams and they code review and they check you know it's very powerful learning and I think that is the future so lastly and then briefly maybe we can last year we talked about the singularity and I love to talk about the singularity let's finish on that the prospect of AI posing a threat to humanity by becoming even more powerful and self-replicating intelligence that even humans cannot understand yeah the panel was largely skeptical last year good skeptics as Kim you know good thinking obviously but there is a risk and whether it's 10 20 100 or 200 years away and so I think we should just revisit that briefly any signs the singularities around the corner are becoming more of a threat than it was this time last year John well if you remember the panel last year split and actually in the audience talking later but completely by age old like me said no way younger people said of course you know there are things not dreamed of in your philosophy you know so I haven't changed my mind but I am I am surprised I mean the AI which by the way when they say AI has solved go and poker and driving they're using data science so using inductive methods to do that they're not using the traditional AI methods so at least it's our side that's winning but anyway I'm on record is saying never gonna happen okay sticking with it Kim she just wants to go in with the youth camp there yeah I read so much so far and I love it and of course it's gonna happen but actually but but but my take on the singularity is that I actually think it can be a positive thing because I think we can then learn from them and it can help humanity move forward quicker than we could have otherwise I mean imagine that they start to build huge spaceships and and we can sort of hop onto those spaceships like little rats we can be the rats of the next Columbus mission to the next stars and we can get to go on these voyages and and I think it can help humanity takes the pressure off us doing all the thinking right that's surprisingly good have you cracked the artificial general intelligence down in UCD yet or she we keep trying one of the things that I've kind of noticed is maybe a bit more of a realization oh more recently that kind of AI is sort of bigger and broader than maybe we thought or people might have thought so you know there's areas that like a lot of the modern machine learning I mean it's essentially correlations pattern matching that's like one really small piece of the big AI picture yeah like causal inference cause and effect and and these kind of areas I think there's been much more sort of information and and there's a number of books out in the last year actually looking at that these areas which have sort of been ignored and suddenly people realize hang on this AI things actually it's massive and it's there's much more to it maybe than than we've been talking about recently so all right but up or down what's that we're gonna go yes or no it's gonna happen or maybe maybe okay so thank you very much to our panel we'll leave it at that and I'll just say a few closing remarks so thank you very much all right thank you panel thanks


Comedies, man. Remember those? They're like black-and-white films for today's generation. They don't make comedies anymore, at least not like they used to. Sure, there's sitcoms going around, but when it comes to movies, you are very hard-pressed to find a comedy hit the big screen these days. So I thought it would be fun to take a look back on some of my favorite comedies of all time. Here's a forewarning. This list was very hard to do. I had to make some tough sacrifices, but my criteria was basically how many times I watched it, how quotable it is for me, and just what movies made me laugh, genuinely laugh the most. But that's why I enlisted the help of patrons and YouTube join members. We're gonna be sprinkling in some of their favorites as this list goes on. Let's not waste any more time. Here are my top 10 comedies. Let's begin. Shocked? Yeah, you should be. It's an unconventional pick. Some say I have an unconventional channel, but here we are. You're watching, I'm telling. First off, Emperor's New Groove is the only animated comedy on this list. Secondly, criminally underrated, under-appreciated. David Spade takes lead here as the ultra douchebag Emperor Kusco. I'm a sucker for a good cross-country road trip adventure. This one doesn't disappoint. He and his buddy Pancha, played by John Goodman, will be frenemies throughout this film, constantly at odds with each other.  These guys get themselves in some pretty precarious situations, but the villains are not slouches either. Eartha Kitt and Patrick Warburton play great foils for our heroes to go up against. Isma and Cronk are up there as far as villains are concerned. It's hard to beat these two. People slept on this film and I can see why. The marketing was atrocious. It was Disney, so it already kind of screamed family-friendly. And even though it very much is, all ages can appreciate this humor, it's the adults that are gonna get a little extra. Just because of the biting, snipping comedy that these two throw at each other. Plus, there's the hilarious backdrops where the animators are in on their own joke of just not even trying. You have full backdrops that are nothing more than fish wallpaper. Unfortunately, this film didn't help Disney in any way, shape, or form. It's kind of a stain on the company. It didn't make money. And in fact, it's probably one of the reasons they stopped doing a traditional animation altogether. I love it. But why male models? Derek Zoolander innocently asks a one-handed David Dacovanie in the middle of a cemetery as he's pouring out the details of an intricate plan where models are being brainwashed to do assassination missions.  And I love it. I love it all. I love triple threat Ben Stiller when he's writing, directing, and acting. Zoolander is one of those examples. He's so perfect as the five-syllable male model Derek Zoolander. Equally as hilarious as Owen Wilson as Hansel. He's so hot right now. Hansel. And this is another example where a villain really elevates the humor for me. You have Will Ferrell as Mugatu. He's so good. Seeing this guy freak out while wearing the dumbest outfits imaginable, yet still somehow being the most sane person in the room half the time, is really priceless stuff. And this is one of those movies where if you blink, you'll miss a celebrity or five. There are so many cameos in there, it's hard to even keep track of them all. And it goes without saying with all the movies on this list, but man, it's got quotes. It's got a lot of quotes. I invented the piano key next time. I invented it. And what did Derek Zoolander do? Nothing! He did nothing! And thankfully, this is a self-contained comedy, one and done, that definitely didn't have a sequel come out years and years later and ruin the goodwill of the first. There's no sequel! If you look up the definition of 1980s comedy, Ferris Bueller is there front and center. This John Hughes vehicle is peak 80s. Matthew Broderick is so damn charming and lovable as this as the kid that just doesn't want to go to school. He's a high school student that's done and everybody loves him for it.  This movie's respected across the board. People have parodied it, tried to mimic the comedy styles. Hell, even Spider-Man Homecoming had a section that was a complete tip of the hat to this. And what else haven't I mentioned yet? Oh, yeah, that song. Boom, boom, yeah. Damn it, I did too good of a job impersonating that song. I'm probably going to get a copyright flag. It's worth it. Fat guy in a little coat. Another film with endless quotable lines. It pains me that we didn't get more with this comedy duo. Granted, we got a good amount between SNL, Black Sheep and this. But still, David Spade, Chris Farley, they deserve to go on to do much more together. Think Walter Mathow and Jack Lemon, grumpy old man. Another hilarious comedy. Chris Farley tries to sell breakpads to a guy by taking his toy car, starting it on fire and doing a bunch of voices. Just I laughed thinking about it. Or how about the part where he gets hit in the face with a two by four and it hurts really bad. Not so much here or here, but right in this region. Definitely took some inspiration from Plains, Trains and Automobiles. Another golden comedy. Speaking of Plains, Trains and Automobiles, Jake Jones does in fact have that as his favorite comedy. He says Plains, Trains and Automobiles is my top pick. It's both hilarious and heartfelt with some genuinely touching moments. Both Candy and Martin knock it out of the park with their roles. It's just a perfect family film. The thing that separates Tommy Boy from the others on my list so far is it's not just a comedy, it's a dramedy at times. Chris Farley really brings out the emotion when his dad dies. He's out in the boat just reflecting. The movie slows down. It goes quiet for a little bit. It gives the movie weight and some stakes to what Tommy Boy is trying to accomplish. And by the end of it, old Tommy Callan finds a way to be a great salesman like his dad. Hell, I think by the end, he was able to sell ketchup obstacle to a person in white gloves. Man, I miss John Hughes. He delivered such great comedies that the whole family could appreciate. Even if the material was a little darker and more mature, he still found a way to lighten things up enough, but not make fun of it by any means. Uncle Buck isn't what I would consider the most upstanding citizen. He swears, he drinks, he gambles all his money away. He really has no prospects, but he's also loyal, compassionate, friendly, lovable, and you just want to give the guy a big hug. I just realized I have Chris Farley and John Candy back to back on my list and that hurts. These two comedy legends went way too soon. The other big star in this is, of course, Macaulay Culkin, perfect as always. But all three kids really bring a lot to the table, whether it's the innocent, cute young niece or the eldest that's got a chip on her shoulder and is doing everything she can to piss her mom off. She's made some bad choices in the boyfriend department. You're not a nat, are you, Buck?  This movie's got everything. The cable guy just wants to hang out. No big deal. If you haven't seen the movie, I'm sorry for the obnoxious way I said that, but that's how Chip Douglas talks. Not his real name, just one of his many aliases. Alias-I, alias-C. I think aliases, that's a word, we're gonna make it one. Wow, I just realized Matthew Broderick is on my top 10 comedies list twice. These may genuinely be his only two good movies. The guy just fell off completely. He went from Ferris Bueller to just becoming an old dad overnight. It's so bizarre. But man, what a waste. He's more disappointing than Gerard Butler's career after 300. We had high hopes for you, buddy. Anyway, this is another Ben Stiller vehicle. He wrote, directed, and didn't star this time. He's actually just a background character. He plays Stan Sweet. There's a trial ongoing throughout, typically in the background on a TV. And the way that it plays out by the end is pretty damn funny. But we also have Leslie Mann in this, Owen Wilson, Jack Black, David Cross, Bob Odenkirk, the late George Siegel, Janine Garofalo, Kathy Griffin. There's a ton of comedians in this. But try as they might. No one holds a candle to the performance Jim Carrey's giving as this twisted, dark individual that just really wants a friend, a close friend, to make up the whole missing in his heart from his terrible upbringing. The premise of this is a little dated. It's about a cable guy who shows up at your house to install said cable and you can tip him and he'll give you some of the extra channels for free. A lot of people don't have cable anymore, but set that aside.  He wants to check out that brand new karaoke machine and see how it works. And of course, we have that friend that hires you a prostitute that he himself checked out the night before. If Emperor's New Groove wasn't to turn up for you on this list, cable guy might be. I understand it's not for everyone. It didn't do that well in the box office. All things considered, it was also polarizing for a lot of fans who expected the Ace Ventura Jim Carrey, the Dumb and Dumber Jim Carrey, the literally any other role Jim Carrey.  The guy can do a multitude of different roles and absolutely convince you he's someone else. He is truly not just a great comedian. He is a great actor and he pulls out all the stops here. Ben Stiller encouraged him to be creative, to ad-lib, to freestyle. You see it throughout the film, whether he's doing a wrath of con impersonation or he's quoting a line from Waterworld that wasn't actually in the film. And I will say this, if you've never seen cable guy going with an open mind, because the first time I watched it, I didn't think much of it, because I was expecting that Ventura character or something zany and off the wall. This is dry, this is dark humor, and it works so well. So watch it twice and then continue to watch it like 30 more times as I have. You won't regret it. Or you will. I don't care. This is my list. Let's continue. Can I, can I show you something? The details of Austin Powers are quite inconsequential. Come on, Dr. Evil. Everybody knows him. Everybody loves him. I don't want to meet a person that doesn't think freaking Mike Myers is hilarious as that character. Austin Powers himself, he's fine too.  This sort of thing is my bag, baby. Bye, Austin Powers. This is a 007 parody done right. Yeah, it takes a lot of inspiration and pokes some fun at the characters in that franchise, but it's its own unique thing. I don't think a lot of people look back on Austin Powers and say that's a great 007 parody. They just think it's a great comedy on its own. And that's a parody done right. When you can take the international man of mystery concept, some of the zany villains from those franchises and make them your own. It's also one of the rare comedies that sequel is just as good as the original.  It's got mini-me. It's hard not to appreciate what's going on in these movies. Times they have it changed. In the last 20 years or so, I've developed a strict no Adam Sandler policy. Yet Happy Gilmore is at the number three spot on my list. Why? Because Adam Sandler honed his craft in this film and pulled out all the stops. Happy Gilmore is so good from top to bottom. You'll notice an easy pattern on my top 10 comedies list. First, they're not high bra movies by any stretch of the imagination. But two, the villains, man. We got Shooter McGavin here. We got Ben Stiller in this too. Check out the tag. You're in my world now, Grandma. Adam Sandler as Happy Gilmore is rage fused into a bottle and at any moment it can explode and it does constantly. Watching Adam Sandler make a mockery of golf will never get old.  We take joy when he hits a hole in one or when he's doing the bull dance, feeling the flow, working it, it's circular. I know Bob Barker's gonna disagree, but when it comes to Happy Gilmore, the price is right, bitch. I started this off by saying it's very hard to find a good comedy film these days. They just don't make them really like they used to. They basically are the westerns of modern cinema. What's even more scarce are satirical parody films. And a lot of that's because it was ruined by a couple of hacks who made the insert title movie franchise. Epic movie, not another teen movie. Disaster movie, scary movie. The first scary movie's fine. They made like five of them, I think. They just got worse and worse.  Wrongfully accused, spy hard. And of course, the naked gun franchise. Leslie Nielsen plays Frank Drebben, an incompetent police officer who manages to land on his feet when things are all said and done. Not literally, he falls constantly. The situations he gets in are so absurd. There's tons of movies being satirized in this and on top of it all, some of the dialogue is funny as hell. Priscilla Presley bounces dialogue off of Leslie Nielsen so well. They work great together. And also, O.J. Simpson is in this. So that's... So that's something, too. Regardless, the naked gun movies are absolutely worth watching. Especially if you like films like Airplane, Spaceballs, Blazing Saddles, Young Frankenstein, all of them I consider phenomenal comedy. And I can't forget about Hot Shots and Hot Shots Part 2. If you've been watching my channel for a long time, the number one spot should come as no surprise. Dumb and Dumber. I'm a simple man. I like the simple pleasures life brings. One such thing is Dumb and Dumber. Two comedy legends on display. Wait, no, just really one. Just Jim Carrey. For some reason, Jeff Daniels is in this and he kills it. He kills it in this role. A guy that normally plays serious roles. Freakin' dominates it. He had a much smaller paycheck, too, compared to Jim Carrey, but it was worth it, damn it. This is another one where it's also in the title.  They're friends, but they're also the worst friends ever. They take each other's girlfriends. They wear two pairs of gloves while the other has none. They make terrible decisions that harms the other, either financially or physically. And yet these two share a bond like no other. Because they're both such dipshits. They understand the in and outs of each other's brains, or lack thereof. Even things that aren't clever or witty became quotable. YouTube join member Johnny Sillers can attest. He says, when I asked my then-to-be wife on our first date what her favorite movie was, she simply responded with big gulps, huh? All right, see you later. Dumb and Dumber will forever be my number one. I just thought he was quiet. The little boy says as he pets the dead parakeet. No way. Man walks on the moon? We did it! Mock, yeah, in, yeah. Do you want to hear the most annoying sound in the world? Eh! Those skis yours, both of them? Everything in this movie's quote.  I could quote it from beginning to end almost. It's both impressive and incredibly sad. Probably just the latter.  Give me that little pumpkin pie haircutted freak. Plus there's the beautiful Shagon Wagon they drive around, a bizarre soundtrack featuring not one, but two Crash Test Dummy songs, impeccable fashion sense that people still dress up as for Halloween every year, and situational humor rivaled by none other. That's Dumb and Dumber. That's my number one spot. Here's what a couple more Patron and YouTube Join members have as their number one pick. Daniel Episaro says, better have Caddy Shack on that list, Boyo.  I don't, but I did call it out very early on. It is a phenomenal movie. I apologize. I'm sorry.  He's a comedic genius, and it's such a fantastic and hilarious movie with so many great lines. Justin Golding picks Super Troopers. The opening scene is the best ever. I'm hearing you on Super Troopers. I placed that right next to Office Space. Both movies have such terrific first halves that when the plot finally starts to kick in, I do think it wavers a little bit. The comedy starts to take a backseat to the unconventional plots, and that's a shame because, man, those first halves? Whoo-hoo! That's good stuff. Well, there you have it. A top 10 comedy list like no other. Let me know if you agree with some of these or all of them. That would be amazing. Like the video if you had a good time. Let me know your top 10 in the comments below. Subscribe to the channel if you're new here or you just forgot to in the past. Hit the notification bell and these videos will show up guaranteed in your feed. And hopefully, I'll see you in the future, Mr. Powers. Thanks again for watching the video. And if you'd like to be featured in a future episode where I do these top 10 picks, become a patron or YouTube join member. I'm on Patreon at Adam Does Movies, or you can join via the button right here on the page, and that'll get you started. Otherwise, just continue being an awesome subscriber and sharing the show with your friends and family, maybe tweeting it out once in a while. That couldn't hurt, and I'd love to see you around.


These are three terms that people don't really tend to get well, but they are very important, especially if you are employed in most of these Gulf countries. And for people in Katalapo, for people in Eru, where you live with me, there is a term that is called gratitude. Gratitude, end of service bonus. These are two things, it's the same meaning. Maybe if someone wants to think in another way, but let us first try to look at what is called gratitude. What is it called? End of service bonus. End of service bonus or what you call gratitude is just a token of money or what you call the token of appreciation that is given to you by your company after completing a given period of time at a place of work or on a job. No matter this gratitude, what you call gratitude is determined or it was said by what you call the government. It's what is being given to you. Remember every residence or every residence who works in Katalapo and he has a QID, he is employed by the company, or he has a sponsor, he will be entitled to what you call a QID as he will be entitled to what you call gratitude, especially if you are working under what you call a company. Leave around people working as freelancers, people working for freelancers, then that is a different scenario. Let us try to look, I want to let people understand, especially if you are coming new to this government or if a new government is coming, who qualifies for gratitude? First of all that's a question that we need to understand, who qualifies for what you call gratitude? For anyone who has worked in Katalapo or who has worked for a company for a continuous period which is more than one year, you are entitled to what you call a compensation, which is called gratitude at the end of your service. Meaning that between that period of one year and above, even if you are being terminated by your current company, you will be entitled to what you call payment, what you call gratitude, you will be entitled to payment of gratitude. And this gratitude is going to depend on your basic salary. Remember when we were talking about gratitude, we are looking at what you call article 61 of the labor law in Katalapo. However, something that also you need to understand that even domestic workers are entitled to gratitude and that is under article low number 14 of the domestic workers law number 15 of 2017. All domestic workers, all workers in Katalapo, salary was elevated to 1300, which included what you call the work, which included the food allowance, the housing allowance and the basic pay of 8 hours according to your shift or according to how many hours you pay. However, what you realise is that some companies give accommodation, so meaning that when they give accommodation, they do not give accommodation allowance, but some do give food, they do not give accommodation, they don't give that money. But the question of it all is how is gratitude calculated?   For every year that gives off, you will be paid a compensation which is equivalent to 2000 of your basic pay. So meaning that what does it mean that when you look at the Katal government or what you call the Katalipoto, some of us you can get your gratitude online, I'll show you how to do that. Remember that the gratitude should not be less than 3 weeks of what you call every year of your working, which was agreed upon by employer and employer and employee that stated in the contract.  And this is what is tuplated in what you call the contracts. Most of you have those contracts and you know what I'm talking about. Those contracts will show or will write out each and everything that is being discussed. So meaning that all is going to be incurred in that scenario. So what does it mean also? Someone also asked me a question of how to calculate your end of service gratitude. By the way, something that you need to understand. The time that you begin your contract in that company is the day your end of gratitude begins. That is how the gratitude starts, that normal first working day. That normal working day in that company is the start of your working period in that company. So meaning that that is the calculation of your gratitude is going to start from that side, from that immediate time. Remember the service of what you call a work or a worker's service can should be continuous in that company as according to the stipulation or as according to what you call the article 61 of what you call the labor. And how can we calculate gratitude? That's what you need to know. If you worked in that company for less than one year, if you worked in that company for less than one year, there is no gratitude for you. That is why some people, that's why normally you see people who resign in the company before completing one year. You do not have gratitude because it's not mentioned anywhere, it's not mentioned that you are supposed to have gratitude. Then if you worked in that company for more than one year, if you worked in that company for more than one year, then you will be entitled to what you call gratitude. It is a benefit. It is set by the government. It is a token of appreciation that you are supposed to be paying every after completion with that employer. Something also you need to understand according to gratitude that when you look at the domestic workers themselves or when you look at the domestic workers, it's the same payment. But where the problem they come from is that some of our friends who are working as domestic workers do not have contracts. They have not seen their contracts and that should be the basis for you to start calculating what you call the contract. But also what we need to understand also regarding call review or regarding what you call gratitude. But remember, let's say for example this case an employer can terminate you. An employer can terminate you without notice and without paying what you call gratitude. Why is it that you are terminating without notice and you are not paying your gratitude even if you've worked in that company for more than one year. Reasons may be, some of us may not know those reasons but these reasons do exist. And some of the reasons, I'll just give you some of the reasons why you may be terminating in the company and you are not given a notice period and you are not also given what you call gratitude. I mean that your employer will wake up and say you are fired and the next day in the night after four hours you have a ticket to go back to your country. Some of these reasons we need to first note and know that this is will bring me trouble or let me out. If the worker impersonates another personality claims of nationality and another nationality with what you call false documents or certifications you will be terminated you will be terminated without even gratitude or without even compensation. Then also if you make what you call a gross loss to that company if you make a gross loss to a company which is to what you call financial losses let's say for example this is a company that loses a contract because of one person you will be terminated without notice and you will not be paying what you call your gratitude. Then if a worker bleaches what you call the substantial rules and agreement if you breaches the instruction that was agreed upon in the contract for example being on duty and this type and you are not to them don't smoke and you smoke don't drink and you're drinking some of these things as we see which are little bit minor they take it ahead and they may lead you into what you call trouble then you look at if what you call for example if a worker you are assigned or what you call assigned to what you call an employer the employer has a right to terminate that is what you know that's why sometimes I say we need to learn how to come to our temper especially when this most of these girls jobs then if the worker is convicted of what you call judgment judgment of what you call crying let's say you are being interrogated by police and you committed crying in one or the other that means your employer will terminate you without what you call giving you what you call gratitude so you end up losing what you call gratitude so you end up losing it over in one or the other but remember still under article number 15 of 2017 it is entitled the employer then also also something else we need to understand is that an employer can either decide to keep you off or terminate you off or even reduce the amount of gratitude given to depending on what you committed in what you call in that company let us try to look at let us try to look at what you call the annual what you call the annual leave salary most of you have been to these countries or most of you have been to these companies I don't know you might have been you might have been Qatar any country that you are working in this is what you call the leave salary every worker will be entitled to what you call a leave salary which is an equivalent to his basic salary on his vacation so meaning that if you are planning to go for vacation you will be entitled to what you call leave salary depending on how many days that will be given to you some companies that many employers will go after every 2 years which is 42 days then they will give you plus what you call the leave salary for those 42 days which is equivalent to 1 month or 2 months then you go that man that's what you call a leave salary it will be given to you then something else that you need to also to understand is that this is my basic salary if for example your basic salary if your basic salary is 1,000 that means your leave salary will be 1,000 and if you are going to go for vacation for 2 months that means your leave salary will be 2,000 otherwise the company or the employer has other calculations but it's supposed to be what you call half your basic salary for people who are going for vacations remember some people some people even their leave salary will go as an adverse of what you call an adverse calculation of which the employer will start to look at how much or look at the national days and the other holidays that the employer did not go off or he not he worked and he was supposed to go off so that one also contributes to what you call your leave salary depending on what you call the amount that will be given to you by your employer then something else that we also need to understand on something that you need to know is about what you call vacations not all companies or not all employer give equal number of vacations but remember according but remember according to the government or what you call according to the government according to the government are supposed to be given every annually of 42 days of 21 days every after one year so meaning some companies what they do is that they will give you what you call a one-way ticket every after 2 years for the 21 days the company will tell you to pay for your own ticket so for some people they hoped it to go every after 3 years and they are being given what you call tickets from their company so you will find that that is also another situation you find that is also another situation then also you find that some companies they add what you call the national days the rest of the other days also are being added and they will become part of what you call your vacation so that is also another situation that always happens so you find that the leave salary will be that amount of money that will be given to you when you are going for vacation and the vacation days according to different companies will depend these are going to depend on what exactly is the arrangement in that company maybe all of days are added maybe all other days are added then probably also those are going to be added what together and it's going to be calculating what you call your vacation days and vacation days it depends on the company some will give you 42 some will give you an annual which is 21 so depending and some may even give that work as annex or what you call 3 months or more 3 months for them depending on how many days so hope for someone who ask about this question now he given you exactly what you have to know about what you call the leave salary the gratitude calculation and what you call the vacation the annual leave salary and the vacation thank you so much by the way for coming to this channel and thank you so much for joining this live remember it makes giving you all these


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It's Julia and welcome back to my channel and for today's video I'm going to be talking about some of the Wiccan books that I own. So basically if you don't know what Wicca is that's like a whole other thing. It's basically like a modern day type of witchcraft that some people practice but I've just been getting into it and some of you guys know that. I've been getting into it for the past six or seven months maybe. But I thought I'd share with you guys today some of the books that I own related to Wicca and yes. So this has to do with like astronomy, horoscopes, crystals, tarot books, stuff like that. So I have a little tiny collection here. I thought I'd share them with you guys and yeah I don't make videos like this all the time but I thought since it was still book related and some of you guys are interested in the whole Wicca thing that I've talked about then you might want to hear it. So let's get into it. First up here I have Crystal Therapy, How to Heal and Empower Your Life with Crystal Energy by Doran Virtue and Judith Lemosky. So this book I have just looked through briefly but this one has all the crystals and their meanings. It has a bunch of them and it's really nicely formatted. So I really like this one. I just got this one the other day. I got a book on palm reading, a very little book. This is just a little book about palm reading, how to do it, what all the lines mean and yeah it's super cute. I haven't like read through this one yet. I just got it but I thought I'd mention it. This is one of my favorites which is the little book of witchcraft. I know a lot of you guys have picked this up on my account which I really appreciate because I really really enjoyed this book but this is just full of history, the signs, the tools. It's a great little starter guide that I'd highly recommend checking out if you're interested. I also got this little pamphlet in the in this little box of crystals that I got but it's the power of crystals and crystal grids and it's this just has a little bit of info in it. It's not even really a book. I don't know why I'm showing it to you. This is one that I'm currently really loving and that is the book of tarot but this is a guide for modern mystics by Danielle Noelle. So this one is by the same publishing company, Andrews McMill publishing as the little book of witchcraft which I love there. Like I love that publishing company. They like send me poetry and stuff like that and I always love their collections but not the point. In terms of books like this they really do them well and they're so aesthetically pleasing just like the other ones so this one is absolutely stunning and it has beautiful tarot pictures of the tarot cards and then it has the message, the questions to be asked, asked what it means when it's reversed and this just has more info than a lot of the other tarot books that I've seen and it's stunning too as well. So I've been I looked I was reading through this one a little bit this morning when I was doing my tarot reading and stuff but yes. Next up here is Witch and this is by Lisa Lister. This is on leash, I'm tamed, I'm apologetic so this is kind of just like a woman like someone talking about it, giving some suggestions, things like that. I have read only a little bit of this one. I read about like seven pages.  Hopefully I'll get around to reading it. Let me know if it's worth it because the first like little bit that I read I wasn't too into but apparently it's a pretty popular one so we'll see. Next here I have how to deal tarot for everyday life and this is written by Sammy Maine and illustrated by Marisa de la Penne. So this is actually my art copy but this is actually out now it came out in May but this is a young adult guide to tarot cards. It's very good for like younger readers. I'd say if you're probably like my around my age like 16 17 and you want to get into tarot maybe start with like definitely start with one of the other books that I suggested. This is like if you're like probably like 13 12 11 whatever just because the language in it is really juvenile so just be aware of that but it has some solid information this book got me into tarot like I requested this book from the publisher because I wanted to get into tarot so it did that job for me and provided me with like good spread like good spreads to do for my tarot readings and yeah. If I'm saying all the terminology wrong like don't mind me like I'm like a beginner so don't judge me too hard. I took this one the other day this is the astrology of you and me. This is how to understand and improve every relationship in your life by Gary Gold Schneider. Schneider and this is a beautiful book about astronomy and zodiac signs and it's absolutely stunning. I'm so excited to look more through this one. Last but not least here I have practical magic and this is by Nikki van de Karten illustrated by Katie Vernaan and this book is about crystals, horse or crystals, horse or psychics and spells and this one's also really beautiful. I really enjoyed this one. I gave this one like around four stars. It talks about auras, all that sort of stuff. It's a great one as well. So there you guys have it. Those are some of the Wiccan, Wicca books that I own, some witchy books that I own. Let me know if you have any down below. If you do identify as Wiccan, if you've heard of it before, if you haven't heard of it, things like that. Again it's not for everybody and I understand this PY people are skeptical or like prejudged before they look into it but we're afraid from that because I'll delete your comments. Thanks. But anyways thank you guys so so much for watching. I'll see you super soon. Bye.


Hello everyone. So now we are going to discuss about potassium. Potassium is another type 2 micronutrient and it is required for growth in children. Again it is helpful in so many enzymatic reactions you will see from our tutorial actually. Very important for muscle strength you know if you are tired, if you feel like your muscles are paining, fatigue, most likely it is potassium deficiency. Potassium you required a lot in your diet actually you know and we always think of banana as the good source of potassium but it is not actually you know most of your potassium you get it from green leafy vegetables so it is important to have your green leafy vegetables you can also get it from your sprouts you know. Another reason to have good amount of potassium is to you know to kind of I would say stabilize your blood pressure. So it would keep your blood pressure lower if you have food which is high in potassium. So let us watch this tutorial and learn about potassium and what are the sources and how much do we need for age wise so enjoy. Thank you. Welcome to the spoken tutorial on the importance of potassium. In this tutorial we will learn about health benefits of potassium, causes of its deficiency, recommended daily intake of potassium, food sources. Potassium is an essential type 2 nutrient. It is required for normal functioning of cells. It is also one of the important electrolytes. Potassium's main role is to maintain the normal levels of fluid inside the cell while sodium maintains the fluid level outside the cells. Potassium regulates heartbeat and supports normal blood pressure. It ensures proper functioning of muscles and nerves. It contributes towards protein synthesis and carbohydrate metabolism. We will now see the effects of sugar and sodium on blood pressure. On eating food high in sugar and salt our sodium level increases. Sugar enhances sodium absorption in the body by the kidney. As a result sodium gets retained in the body. This causes an increase in blood pressure and water retention in the body. As a result puffiness in hands and feet can be seen. It is recommended to avoid sugar intake and increase potassium intake. Potassium relaxes the blood vessels and removes excess sodium. Thereby the blood pressure reduces. Remember that each day our body requires more potassium than sodium. I will discuss the recommended dietary allowance later in this tutorial. There are various factors that cause increased deficiency of potassium. A diet which is low in potassium is one of them. Some medicines can cause removal of a lot of potassium from the body. This factor also causes deficiency of potassium. Frequent vomiting and diarrhea can also lead to deficiency. In such cases along with potassium the body also loses chloride and sodium. Deficiency of magnesium also causes potassium deficiency. Kidneys need magnesium to reabsorb potassium. This helps in maintaining normal levels of potassium in cells. People with paika are also at the risk of potassium deficiency. Paika is an intake of inedible substances like clay or soil. Clay binds with potassium and increases potassium excretion from the body. This can lead to the deficiency of the mineral in the body. Inflammation in the intestine can decrease the absorption of potassium. This factor also causes deficiency of potassium. Low potassium intake impairs calcium reabsorption in the kidney. This leads to increased calcium excretion in the urine and causes kidney stones. Early symptoms of deficiency include fatigue, muscle weakness and cramps. Irregular heartbeat is another example. Loss of potassium happens due to impaired glucose metabolism. Sudden loss of potassium can increase blood sugar level. The deficiency causes growth retardation and decreased levels of growth hormone. Growth hormone helps in the formation of new cells and stimulates growth. Severe deficiency can cause high blood pressure and mental confusion. High blood pressure is one of the major causes for heart diseases and stroke. Like deficiency, increase in the level of potassium also causes health issues. Increase in the level of potassium in the blood can be fatal. There are various factors that cause increased levels of potassium in blood. Certain medication for kidney ailments is one of the reasons. Using potassium-based salt substitutes also increases potassium in blood. Eating a high potassium diet with existing kidney issues is another risk factor. I will discuss the food sources of potassium in the later part of this tutorial. The symptoms of increased potassium in the body are weakness and fatigue. Nausea, vomiting, difficulty in breathing and chest pain are other symptoms. Recommended intake of potassium differs for different age groups. 1 to 3 year old requires around 1100 milligrams per day. 4 to 6 year old require about 1,550 milligrams per day. For men, it is 3750 milligrams per day. For women, it is around 3,225 milligrams per day. I will now tell you about the vast food sources of potassium. It is naturally present in all plant-based foods. Pulses, legumes, nuts, seeds and spices are the richest sources. Vegetables, fruits, grains and milk also have potassium. 30 grams of raw green gram has approximately 353 milligrams of potassium. 30 grams of raw soya bean has around 490 milligrams. 30 grams of raw split red gram has approximately 419 milligrams. 30 grams split black gram has around 347 milligrams. 20 grams of almonds have approximately 140 milligrams. 20 grams of cashew nuts have approximately 127 milligrams. 10 grams of sesame seeds have around 46 milligrams. 10 grams of sunflower seeds have approximately 56 milligrams of potassium. 100 grams of spinach has around 625 milligrams of potassium. 100 grams of amaranth leaves have approximately 572 milligrams. 100 grams of orange has nearly 164 milligrams. 100 grams of govah has around 283 milligrams of potassium. 250 milliliters of milk has approximately 260 milligrams of potassium. Likewise, some spices and condiments have high amounts of potassium. 5 grams of turmeric powder has around 118 milligrams. 5 grams of fenugreek seeds have around 46 milligrams. 5 grams of red chilli powder has around 112 milligrams. 5 grams of black pepper seeds have approximately 74 milligrams. 5 grams of coriander seeds has around 74 milligrams. Include these potassium rich food regularly for good health and well-being. This brings us to the end of this tutorial. Welcome to the spoken tutorial on potassium rich vegetarian recipes. In this tutorial we will learn about benefits of potassium, some vegetarian recipes rich in potassium. Potassium is an essential mineral. It is required for normal functioning of cells. It regulates heartbeat and maintains normal blood pressure. Potassium ensures proper functioning of muscles and nerves. The importance of potassium has been explained in another tutorial. Please visit our website for this tutorial. Let us now see the preparation of the recipes. The first is raw banana pepper fry. To prepare this you will need 100 grams raw banana, half medium chopped tomato, half medium chopped onion, 1 teaspoon garlic paste, 1 whole red chilli, handful of washed coriander leaves. You will also need 1 teaspoon mustard seeds, 1 teaspoon coriander powder, 1 teaspoon pepper powder, half teaspoon turmeric powder, salt to taste, 1 teaspoon oil or ghee. Procedure. Wash and peel the raw banana and cut them into pieces. Place the pieces on a plate. Add 1 glass water in a steamer. Place the plate in the steamer and steam for 12 to 15 minutes. If you do not have a steamer, you can use a pressure cooker. Add 1 glass water in a pressure cooker. Place a small stand inside the cooker to keep a plate on it. Now place the raw banana pieces on the plate in the pressure cooker. Cook them for 15 to 20 minutes without a whistle on the lid. Open the cooker and let it cool. Keep them aside for later use. Heat oil or ghee in a pan and add mustard seeds. Once the seeds crackle, add the onions and garlic paste. Saute until the onion turns golden brown in colour. Add tomato and whole red chilli. Cook till the tomato turns soft. To this add all the spices and salt and saute it for 2 minutes. Pour 3 tablespoons of water and cook for 1 minute. Add the steamed raw banana to this and stir well. Cover with a lid and cook for 5 minutes. Lastly add chopped coriander leaves. Raw banana pepper fry is ready. Half bowl of raw banana pepper fry has around 844 milligrams of potassium. The next recipe that we will see is dried lentil dumpling curry. To prepare this you will need 30 grams black gram, 1 medium chopped tomato, 1 medium chopped onion. You will also need 1 green chilli, 4 to 5 washed curry leaves, 1 small piece of ginger, handful of washed coriander leaves. Other ingredients required are 1 teaspoon cumin seeds, half teaspoon carom seeds, half teaspoon red chilli powder, half teaspoon turmeric powder, 1 teaspoon black pepper seeds, salt to taste, 2 teaspoons oil or ghee. Procedure wash and soak black gram overnight. Completely drain the water in the morning. Grind the black gram, pepper, carom seeds, ginger and green chilli into a paste. Do not add water while making the paste. Make sure the paste is smooth. Take out this paste in a bowl. Using a spoon or hand mix the paste until it becomes fluffy. With clean fingers grease a plate with some oil. Then make small balls of the paste and place them on the plate. Sun dry them for 2 to 3 days till they become hard. Keep them covered with a cloth while sun drying. You can also air dry them inside a room if you cannot dry them in the sun. Keep turning these dumplings a couple of times daily to ensure even drying. Once the dumplings are dried, heat 1 teaspoon oil or ghee in a pan. Fry them till they turn brown. Keep them aside. We will use these later. To make the curry, heat oil in a pan. Add mustard seeds and curry leaves. Once they splutter add onion. Saute until the onions turn light brown in colour. To this add tomatoes and cook till they turn soft. Add the spices, salt and fried dumplings and mix well. To this add half cup water and close with a lid. Cook for 5 minutes or till the dumplings soften. In the end add chopped coriander leaves. Dried lentil dumplings curry is ready. Half bowl of this curry has around 937 milligrams of potassium. The third recipe is fenugreek seeds curry. To make this recipe you will need 2 tablespoons of fenugreek sprouts, half cup washed and chopped spinach, 2 tablespoons freshly grated coconut, 1 small chopped tomato, 1 small chopped onion, 1 green chilli, 4 to 5 cloves of garlic. You will also need 1 teaspoon cumin seeds, 1 half teaspoon mustard seeds, 1 teaspoon chilli powder, 1 half teaspoon turmeric powder, salt to taste, 1 teaspoon oil or ghee, juice of half lemon. Before we begin I will tell you how to make sprouts. Soak 2 tablespoons of washed fenugreek seeds overnight. Grain it in the morning and tie them in a clean muslin cloth. Leave them in a warm place to germinate for a day. Once the sprouts are ready keep it aside for later use. Heat oil or ghee in a pan and add cumin and mustard seeds. Once this platter add garlic, green chilli and onion. Saute till onion and garlic turn light brown in color. Add tomato and cook until it turns soft. To this add fenugreek sprouts and saute for 2 to 3 minutes. Add spinach and cook until it shrinks. This might take 2 to 3 minutes. Next add spices, salt and half cup of water. Mix well and cover with a lid. And cook till the sprouts become soft. Lastly add grated coconut and give it a mix. Squeeze lime juice after serving. Fenugreek seeds curry is ready. Half bowl of this curry has around 801 milligrams of potassium. The last recipe is amaranth leaves and green gram sprouts stir fry. To make this recipe you will need 1 cup washed and chopped amaranth leaves, 3 tablespoons green gram sprouts, half medium size chopped onion, 5 cloves of garlic, 1 green chilli. You will also need 1 teaspoon red chilli powder, half teaspoon turmeric powder, 1 teaspoon cumin seeds, 1 teaspoon mustard seeds, salt to taste, 1 teaspoon oil or ghee. The procedure for sprouting is mentioned in the earlier part of this tutorial. Please follow the same method to sprout green gram. However note that different ingredients take different time to sprout. Let us begin. Heat oil or ghee in a pan and add mustard and cumin seeds. Once this is flutter add onion, green chilli and garlic. Sauté them until they turn light brown in colour. To this add the chopped amaranth leaves and mix well. Cook this for 4 to 5 minutes and then add the sprouts and spices. Mix well and cover the pan with the lid and cook till the sprouts become soft. Amaranth leaves and sprouts stir fry is ready. Half bowl of this recipe contains around 973 milligrams of potassium. Include these potassium rich recipes in your diet regularly for good health. This brings us to the end of this tutorial. Thanks for joining. Welcome to the spoken tutorial on potassium rich non-vegetarian recipes. In this tutorial we will learn about benefits of potassium, preparation of non-vegetarian recipes. Potassium is an essential mineral. It is required for the normal functioning of the cells. It regulates the heartbeat and maintains normal blood pressure. For the proper functioning of muscles and nerves potassium is required. The importance of potassium has been explained in another tutorial. Please visit our website for more details. Let us now see the preparation of the recipes. The first recipe is egg dosa.  You will also need salt to taste, 1 teaspoon oil. Procedure soak the foxtail millet, fenugreek seeds and black gram. For 8 hours. Grind everything into a smooth batter using a mixer or a stone grinder. Transfer the batter into a bowl and leave it to ferment for 6 to 8 hours in a warm place. Once the batter is fermented add salt and mix well. Keep this aside. We will use this later. In a bowl crack 2 eggs. To this add salt, pepper powder, onion and tomato. Mix everything well. Keep this aside for later use. Heat oil in a pan and pour the dosa batter and spread it evenly. Once the dosa is partially cooked pour the egg mixture on the dosa. Flip the dosa and cook it on the other side as well. Egg dosa is ready. 2 egg dosas have approximately 751 milligrams of potassium. Our next recipe is sesame seed coated fish. I will be using rohu. You can use any other fish as per availability. For example herring and mackerel. These fish are also rich in potassium. Let us begin with the recipe. To make this recipe you will need 100 grams of washed and cleaned rohu. 1 tablespoon roasted gram flour. 1 tablespoon roasted sesame seeds. 1 teaspoon ginger-garlic paste. 1 teaspoon cumin seeds powder. 1 teaspoon coriander powder. You will also need 1 teaspoon turmeric powder. 1 teaspoon red chilli powder. 1 teaspoon pepper powder. 1 teaspoon carom seeds. 1 handful of coriander leaves. Salt to taste. 2 teaspoons of oil. Procedure apply salt and turmeric to the washed and cleaned fish. Keep this aside for 20 minutes. Meanwhile take gram flour in a bowl. To this add the carom seeds, salt, red chilli powder and pepper powder. Now add ginger-garlic paste and cumin seeds powder. Also add coriander powder and coriander leaves. Add little water and make a paste by mixing well. Next dip the fish in the paste and then coat it with sesame seeds. Heat oil in a pan and shallow fry the fish on both sides until cooked. Sesame seed coated fish is ready. 2 small pieces of fish fry have approximately 885 milligrams of potassium. Our third recipe is chicken cutlet prepared in powder of sprouted finger millet. To make this you will need 100 grams or 4 pieces of boneless chicken. 30 grams or 2 tablespoons of finger millet powder. 2 tablespoons green peas. 2 tablespoons chopped carrot. 1 chopped green chilli. You will also need 1 teaspoon carom seeds. 1 teaspoon pepper powder. 4 to 5 chopped curry leaves. A handful of washed and chopped coriander leaves. Salt to taste. 2 teaspoons oil. Procedure we will first make finger millet powder. Wash and soak finger millet overnight. Strain out excess water using a strainer. Tie it in a muslin cloth and keep it in a warm place for sprouting. It may take approximately 2 to 3 days for it to sprout. Once the finger millet sprouts dry it in sunlight. If there isn't enough sunlight you can even roast them on a pan without oil. Cool and grind it to make a fine powder. In a pan add chicken, green peas and carrot. Add 1 glass of water and cook until chicken and vegetables are cooked. This will take approximately 10 minutes. Allow them to cool. Once cooled grind them into a smooth paste. Transfer this into a plate. Add the rest of the ingredients to the paste and mix well. Divide this into 2 parts and shape them into cutlets. Heat oil in a pan and shallow fry the cutlets until both sides are cooked. Chicken cutlets prepared in powder of sprouted finger millet are ready. 2 cutlets have around 706 milligrams of potassium. Our last recipe is spinach prawns curry. To make this recipe you will need 100 grams prawns. 1 medium chopped tomato. 1 medium chopped onion. 1 cup washed spinach. 1 teaspoon coriander powder. 1 teaspoon red chilli powder. 1 teaspoon turmeric powder. You will also need 1 teaspoon cumin seeds. 1 teaspoon mustard seeds. 4 to 5 curry leaves. 1 green chilli. 1 teaspoon ginger garlic paste. You will also require 1 teaspoon of oil and salt to taste. Procedure to make the curry clean and wash the prawns. Make a slit on the backside of the prawns. Pull out the black thread from it. This black thread has to be removed from the other side also if found. Apply salt to the cleaned prawns and keep them aside for 15 to 20 minutes. Boil 1 glass of water in a vessel. Once the water boils add spinach and cook for a minute. Drain the water and keep the spinach aside to cool. Once cooled grind spinach with a green chilli into a smooth paste. We will use this paste later. Heat oil in a pan. Add mustard seeds, cumin seeds and curry leaves. Saute till the seeds crackle. To this add onion and saute till they turn light brown in colour. Add tomatoes and cook till they become soft. Add all the spices, ginger garlic paste and salt. Mix everything well. To this add the prawns and cook for 5 minutes. Add the spinach paste we made and mix again. Close with a lid and cook until the prawns are cooked. Spinach prawns curry is ready. One bowl of spinach prawns curry has around 972 milligrams of potassium. Remember that the measurement of one bowl is 150 millilitres. One teaspoon of nuts and seeds powder can be added to these recipes. Add it along with other spices while making the recipe. It can also be added to the chutneys for dosa. One teaspoon of nuts and seeds powder gives around 50 milligrams of potassium. The recipe for nuts and seeds powder is explained in another tutorial. Please visit our website for more details. Include these nutritious recipes in your daily diet for good health. This brings us to the end of this tutorial. Thanks for joining.


It's great to have goals. It's great to have outcomes. I think every single person in this room should have a North Star But I'm a big believer that once you've decided on your goal or your North Star You can take your eyes off of it and you can put it on the process The daily behaviors the micro skills the decisions The best example I can think of which I think is very appropriate for this group is if you're tasked with building a brick wall Don't worry so much about the wall Pay a lot more attention to the bricks. You don't set out to build a wall. You don't say I'm gonna be the biggest Baddest greatest wall that's ever been built. You don't start there.


This is heat number 22, the second semi-final, it's very tight, first turn, oh, that's a dreadful, dreadful crash. Big contact going into the first corner there, Tye Wiffenden getting hooked up with Nicky Pedersen, couldn't get away from him, they lose control and slam into the air fence. That's going to hurt, we see it again, Wiffenden just clips Nicky Pedersen now and loses control and keeps pushing. Wiffenden puts a big locker on and then crikey, how on earth, how on earth they got away from the motorbikes there, that's more luck than judgement. Doesn't get any prettier Kelvin. No it doesn't, we can see that a hundred times and it won't look at it but look at the energy as the bikes hit the fence and just catapult the riders forward off their bikes. Wiffenden just losing it there on the inside of Nicky Pedersen and then all out of shape, look at Pedersen bouncing down the track. Just keep our fingers crossed that both riders are okay. Well all four riders have been invited back into the rerun by referee Jim Lawrence so he can't see any one rider at fault for this incident. Wiffenden is up which is good news and he's walking back to the pits area. He'll have a nice shiner under his left eye in the morning and Nicky Pedersen's up as well but he's going to need plenty of time to get Kelvin for the restart. Do you know what, Nicky Pedersen is such a tough customer, he's super fit and he normally bounces back after a crash like that.  Of course it's an emotional knife remel, Saifutinoff in red as well, he's far the gravely ill right now. So this is the restart, heat number 22 of the second semi-final, can they get away first time of asking? Tape tries, good start from Pedersen off gate three, well hand injury or no hand injury, he's made a beauty. Now who's going to emerge into second Saifutinoff, blocks out Zagar, Woffenden is third right now. Nicky Pedersen with that hand injury is leading the second semi-final and Evel Saifutinoff is second under all sorts of pressure here from Tai Woffenden. Well this is remarkable knowledge, Nicky Pedersen complaining of pain in his wrist or his forearm makes a fantastic start on his spare bike, he's out in front looking like he could well go through to the final. Saifutinoff is really fast in second place and Woffenden there looking to find a way through. Zagar unfortunately got his momentum was killed early in the race for Pedersen out in front but Saifutinoff, look Saifutinoff now really pushing hard in second place. Here comes Saifutinoff, he's going to switch up the inside now, Pedersen under all sorts of pressure, second semi-final, plays in the final on the line and remember every point counts towards your overall. Clever switch up the inside for Evel, what a move from the brilliant Russian, can Pedersen come back for more, down to the line, what a semi-final. Brilliant Pedersen suffering there.


It's been another big week and obviously we've got a week ahead of us that's quite significant in the sense that we've got two days where we'll see fire danger ratings in the very high and severe categories. Those days are obviously Tuesday the 11th where we've got weather already, forecast for very high and most districts severe in the Malley and Wimra and total fire bands in four districts which is the Malley, Wimra, South West and Central. It's very interesting that we're back into those grassland fire conditions again where the predominant is about grasslands where fires, if they were to start, would run really fast and have the potential to do damage. So that's something people need to be very mindful of and it's been warm weather and even the nights have been quite warm across Victoria. The next key day is Saturday on the forecast where again it will be very high, potentially severe, again wind, southwesterly change but what will follow it is potential of reasonably good rains across Victoria. So we could see 20, 30, 40mm of rain in some parts if not all of Victoria on Sunday. So this week, obviously Tuesday, nice weather then, again on Saturday followed by what will be rain on Sunday. So that tells us I suppose it's a bit of a message to everyone to stay tuned, make sure we've got our capabilities right and certainly the community messaging that we're not out of it. We've left summer, we've moved into a different season but we've still got to be very mindful that it's very, very dry, extremely dry in the west and central parts of Victoria and those conditions are conducive to run fire so if we have a fire start we could see that occur. The other one worth mentioning today is certainly Hazelwood Open Cut Fire. Yesterday on Monday the 10th we changed the status of the fire from a going fire to that controlled and when we say controlled it means you won't see extension of the fire, it's unlikely to expect an outbreak from the fire but inside the fire area there's still some smoke issuing, there's still some hot spots that will require significant work with earth moving equipment and firefighters and we intend to ensure that firefighters remain working with the mines people up until the 18th so another week of hard work to make sure that we can take it from controlled to safe and one of the things that will be the best thing that happens in the Hazelwood Fire is rain on Sunday, that will be absolutely fantastic to see that final bit occur. So when we say we remain in place, MFB, CFA, Deppie Parks, Queensland, New South Wales, ACT, South Australia and Tasmania are still all there along with air services and the big airport tenders are no longer just Victorian ones, they brought them in from interstate and crews from the major airports across Australia so it's a huge operation. The figures that they reported on Friday were 7,000 firefighters have been assessed through the health assessment area of the fire, that's 7,000 individuals and some of those have been on two or three rotations so it's big numbers of firefighters over a 29-day period, we've made it to controlled but we still haven't got the fire to a safe status yet, that's probably another week of hard work and even after that we'll still have to work closely with the mine to tidy up some things and bring the trucks out and clean them up to get them back home so it's a huge operation and obviously the Morewell community have had a lot, they've suffered a lot, they've had a lot of smoke over their town, it's had impacts in many ways and obviously the recovery side of it will be a key aspect now to work with that community to get them back to where they should be. So thank you.


Is there a case for really targeting particular countries where a new variant emerges or where there's a risk of a new variant spreading? I would not wish, I think, to target particular parts of the world or particular communities. It's crucial that we push forward with reducing the amount of virus everywhere. There are certain communities, senior people, people with other illnesses, who are more vulnerable to getting severe illness and needing hospital and tragically dying. And it's very important that we protect those that are at greatest risk of ill health wherever they are in the world. I would much rather we vaccinated those communities everywhere in the world. The most vulnerable and healthcare workers, maybe 30%, 40% of every population first, rather than 100% of some populations. Because by doing that, we'll reduce the burden on the health systems. We'll protect healthcare workers so that they can look after us when we have malaria or whether we have a heart attack or whether we're in childbirth or whatever. We need healthcare workers everywhere and we must protect them as a priority. So I would rather vaccinate some people in every country than all people in some countries. And I think that's the best way out of the pandemic.


I'm Rebecca Bradwish McElwain and I'm with the U.S. Army Central Command and I pretty much manage, well, their budgets and anything fiscal goes through me. The strength of the Army is in its people and that's exactly where the Army decides to invest. That is something that is unlike a lot of institutions, right? It isn't about the bottom line, you know, being able to get a return on the investment in the monetary sense, but it is about people. And how do we grow, train, mentor, develop, provide opportunity for people? The Army provides infinite opportunities for education, for training, for hands-on experience, for fantastic benefits, travel, adventure, and I'll say the most important part, they're going to give you purpose and you're going to work with some of the most incredible people that you'll ever encounter in your life. It's going to give you a level of discipline. It gives you a safe space to grow, to fail, to dust off your boots, get back up in the game again. It gives you an opportunity to serve your nation, to make a difference, to invest in others. If there are no barriers, the sky's the limit, you truly can be all you can be. And without a doubt, Army is a great career path.