Hello. Let's start again. So welcome to the second session. I hope you could have a bit of a breathe outside while we still have the sun here. Let's dive into what we already did actually before the break but dive further into scientific workflows and hear what scientists have to tell us and how they can provide us with some more help on deciding on on seeing what is expected of us as a community. We have three researchers here that I'd like to introduce to you. I'll introduce them they'll will each give us a quick overview of what they are doing and how they are dealing with data and then the floor is all open to questions I have already here and of course all the questions that you have so you have the scientists here fire up I would say and figure of speech of course. So we have there on the right for you, Joris van Zendert. He is a researcher and developer in computational and digital humanities at Huggins. He's experienced in computational asset and empirical literary and linguistics research applying digital and statistical technology. He's a profound advocate of empirical humanities research evolutionary modeling iterative development agile and lean project management. Next to him is Ike de Weaver he's a science officer for the biofresh data portal at the Royal Belgian Institute of Natural Sciences here in Brussels. As a taxonomic backbone for the project they are maintaining and extending the freshwater animal diversity assessment database. He will tell us more about it. Professor Dick van der Poel is a professor of marketing analytics big data analytical customer relationship management at Gantt University. He specializes in customer intelligence and analytical customer relationship management including customer acquisition customer retention and cross-up selling and data mining for him is an important thing. He's also the program director of the master of marketing analysis well since 2000. I give the floor to you. I start with Joris please tell us what you're about and what you're doing and maybe you have already some questions for us. Sure thank you for having me over first of all it's very nice to be here. I wrote that myself actually that introduction that you had there and I'm quite surprised to hear that back after I think a few years now because nowadays I might describe myself a little different. That doesn't matter it's a fine introduction it's just maybe someone on the strong on the computational side maybe. So what I'm doing I'm from the Huygens Institute actually somebody made a nice little mistake of putting Belgium as my nationality there which I'm very happy that it happened because I think my roots are finally here coming from here but I really couldn't aspire to take the nationality of such a nice people. So I'm actually Dutch I'm working at the Huygens Institute for the history of the Netherlands and that is an interesting flock of researchers together because we have them in all sorts and varieties. We have researchers that are completely I would say at the hermeneutic side of things so people humanities researchers that are completely focused on interpreting data interpreting text and creating new insights based on the basis of solid and subtle reasoning. I'm on the other hand could be seen as somewhat of a new fangle sort of type of research in humanities which is all about trying to formalize the data that we're working on and I guess that might be interesting for the people here in the audience today as well. So we have been looking into ways of for example formalizing the stylistics of literature and literary resources sorry. So just to give you one example of what I've been working on is trying to tell apart two different authors in a 14th century manuscript Middle Dutch manuscript of which it says the text itself claims that it was written by two authors but nobody really knows where one author took over from another and indeed using statistical means one could say simple word counting it's slightly more difficult than that but we can go into that if you're interested. We were indeed able to tell to pinpoint the transfer from one author to the other author's text and what is interesting about that is not so much the fact that we could pinpoint it because that was somewhat known although it was unsure but what we also found which was rather new to the field is that the latest author took over from the first author and changed his text and that we could only certainly tell from taking a more statistical sort of data model view on the text so that's that's the kind of research that I'm interested in and that gets you also into the data modeling aspect within humanities which is a I would say intricate and complex thing that we're still figuring out how to do that and yes certainly at some point we will need all the data centers and libraries to help us out with how to store and how to manage and how to exchange that data because that is still a very much a a search and a quest for us actually so that's hopefully enough for me yeah thank you very much so I'm I could whoever I'm coming from a completely different background I'm a biologist and why I studied here in Ghent University and I did a PhD on aquatic microbial ecology and this brought me into contact with with several types of data one of them are our genetic sequence data for which there's a very nice repository which is called gene bank which well every scientist who's worked with sequences has known and knows about on the other hand I've worked a lot with experimental data where where it's very much each researcher on its own except well if you collaborate on this particular experiment but it's typically a raw rather small group of people working on this data set and then I've worked after my PhD a little bit with remote sensing data with remote sensing imagery where I have both worked with satellite data where you have you're just relying on on the big providers and where it's more a matter of them describing what you actually did with this data to have some metadata on this and then on the other hand you're working with space born imagery where where you were actually the team of people we worked with they paid for a plane to go out to take pictures of a certain area and and then it's it's also up to the group to to take care of the the storage of such data which haven't well they're very expensive to to make these pictures and and they they could be reused for for different purposes so this there it becomes really important to get a decent archiving facility and now of about three years ago I started my job at Royal Benz Belgian Institute of Natural Sciences and for those living in Belgium it's known as the Dinosaur Museum and it's it's quite a big institution it's has a it's among the top 10 natural history museums in terms of the size of its collections in the world and I'm working on an EU project called Biofresh which is focusing on freshwater biodiversity and we're trying to to get data together on on which species occurs where on the planet and and for instance if if people catch a fish in a stream and and they they would report it then Biofresh is interested in this kind of data to to get a global overview of of where species occur and the big problem there is and and this in this job I come into contact with data of every day and and the big problem there is that there's like this long tail of data where where individual researchers they they go out to to a pond and to to to see what's what's living there and and they do they if if you're lucky they make a publication out of it this but sometimes they just don't care and this data gets lost in in the best case it's in a paper but it's not the data is not deposited in the worst case it's just going to be lost it's on their hard drive what they found there but it's never going to to be used and freshwater are are really one of the is is the environment that's under the heaviest threats the biodiversity is decreasing in freshwater at at rates which are much higher than in the marine and terrestrial environment and if we want to to get a good idea of what is actually going on why this is the case what we can do to stop this what will happen under climate scenarios for different species we need to have a better view on on on where species live under which which conditions and by bringing all this data together and especially those data in the long tail and this would help a lot but there's still a big effort that we need to go through because well scientists are just reluctant to make this kind of data available so that's it for me for now thank you hi I'm Derek from the professor of marketing analytics here at the university I got started with my PhD about 20 years ago sounds scary most of the data we had available was company internal data so I'm in marketing so what we do is we analyze marketing data consumer behavior data and so we try to figure out how the consumer behaves under certain conditions and we try from the point of view of the company to optimize how things work and at that time we only had internal data now even just internal data is a lot of data in the case of marketing because as you know you're all consumers you go to the supermarket you scan your loyalty cards to get your points and what we get out of it out of the process is lots of data so what you purchase and more importantly what you purchase together in one basket and we as researchers we want to understand what's going on in this purchasing process so even these let's say purchasing data is just recording what you purchase is in fact the end result of a whole process that has been going on in your mind in your social environment and so when I started 20 years ago we only had the end result the purchase in the meantime we of course we had the development of the internet and all kinds of let's say social media in the meantime and what made this possible is in fact understanding or get giving you additional data on what's going on between let's say you viewing an ad on TV a commercial on TV you thinking about a product should I buy it shouldn't I buy it and so on so the whole process is much more documented right now because we also see your information searches on the internet so as opposed to just having the end result the purchase we now have the whole process information available so in the end let's say 20 years ago we only had hundreds of gigabytes of data which is still a lot of data but limited and now we have terabytes of data and even some companies go up to petabytes of data because of let's say the intermediate processes that go on these companies they can observe every tweet you send out about their company and so this sending out this tweet may reveal something of your thought processes that brought you to either buy or discard a certain product now this is let's say just observing what we what we do as consumers but there is more to that of course we are not always rational consumers we you also want to tap into let's say the attitude a consumer has towards a brand and so in addition to the existing data we also collect additional survey data and we try to augment the existing data with what people think about products and so nowadays there's a let's say a big stream of research that combines the behavioral side of things with the attitudinal side of things and the combination of both should give us let's say more insight into why people purchase certain products well now we know what you're all world as what your research is it's quite a diverse diverse field I would say at this moment what do you do with the data is it in your institution that this data is archived and curated do you do it yourself or do you use a general disciplinary bank for my part the humanities I should distinguish I guess history and literature research from several other types of humanities research speaking from for that part of humanity for my institution the situation is that we don't don't publish our core data really we do have that for example if I run analysis I get statistical data I do keep that and sure I'm prepared to deposit that with the Dutch national data archive but the fact is that we're not very much educating and instilling this idea of data curation data stewardship into humanities researchers I think we could do better at that Daniel actually there is however a complicated complication it's that for the humanities for literary and history scholars it's still quite unclear what their data actually is of course we all use text we all use documents but what is text what is a document if you start asking humanities researcher what he defines as data you get a different distinctly different answer from for every humanities research and the trouble with humanities data is that it's highly complex and it's high highly highly varied highly heterogeneous so we feel like people in the linguistics side of research have a distinct advantage over us because they tend to use spoken word and written language and they tend to use to look at the string at the characters or the phonology which and I don't want to downplay their research at all here but from humanities from a literary or historians perspective that is a very baseline kind of data which is very very much possible it's very much storageable it's very clear it's very very common now now take the research of a plain vanilla average humanities researcher and he has tens maybe hundreds different documents different images different interviews various languages various compositions that are meaningful to him or her and there is not really a way yet to express that richness and complexity sure there's a cemented web but that is still not really sort of close to what we as humanities researchers need from data modeling and data representation is that a question of data definition what is data or is it a question of a good ways to describe data I would tend to a lot or actually but also we're only grappling at the bottom I think of formalizing the way we do research in humanities and that word alone triggers mighty negative responses actually if you talk to a humanities researcher about formalization so you just ask questions about how do you do your researcher you tend to run in this wall of well my research is so specific and so much title interpretation that it's not formalized I think this is sort of a somewhat easy fallacy that humanities researchers use to sort of not enter into real trying really trying to establish a formalization about research is possible but at the same time we need to the computer science side of things needs to and is in fact trying to come up with ways of supporting this fake and incomplete and subtle reasoning that humanities researchers are using because we're not we're in fact not about mathematics we're not about counting about reasoning and there's ways to support that but that's also in development so on the one hand we're figuring out what our data is and how to represent it on the other hand we're trying to come up with the ways you can computational approach this data so it's research on both sides so we're not way near I think generalized infrastructure for these kinds of research but we're hopefully getting there but this moment this is stored all on your own servers in your own institute currently yes I'm afraid I can okay well in biology and then well the kind of data we're focusing on it's really quite different it's really straightforward what we're looking for in terms of data it's primary biodiversity data is also termed as the what's where and by whom has a certain species been observed and it's their standards for this so this is not really the problem now I'll go a little bit into detail in in what kind of of different types of data or sources of data we're targeting and one is for instance museum collections and another one is like monitoring data like in the frame of the water framework directive where where member states of the EU have to report the water quality based on which organisms occur and the other one is more the experimental the ad hoc sampling done by researchers and each of these three have their own peculiarities and the for museum collections it's clear museums have an obligation they're starting to digitize their collections and they have an obligation to make the public they have a public role and so well most of those institutions actually make their data available and this is kind of done through a network was what we call an network of interoperable databases and they make their data available so actually the data physically is on a server from the museum but it's it's made available through open standards it can be harvested through a central initiative and in my case this is the called the global biodiversity information facility and for monitoring data what there's there's more let's say we have in the biofresh project tried to to mobilize this kind of data and there it's it's a problem of of political will willingness where we really see okay those data are out there but people are seem reluctant to share this data because okay if you could based on this original raw data people could re-calculate the quality index and and criticize this this kind of thing and then it becomes more a political thing and certain member states don't don't have any trouble of sharing these data others are like okay but the qualities may be not good enough they don't they distrust that is what you see in the biofresh pro projects you stumble upon that obstacle not everyone is willing to share and that data quality question is yeah and and then well you have have the the researchers themselves and then you you you run into different stories again like okay I don't get enough credit for for this is the presentation by Sarah Callahan it summarized the situation there very much I think so we have the whole range of everything in place do you think it's necessary how do the peers react in the project do they force each other or really demand to open up the data or to make it available somewhere for sharing so well the nice thing within our project is indeed that we have the researchers in the project they they have their own data and well in because we we're a project that's supposed to show off how you can make this data available they they are under a certain pressure but even there there's it's still now we're running in into the third year of 40 year the last year of our project and still a lot of these data sets that we still need to to really get it from the researchers within our own projects so there's a long way to go what's your experience with that yeah so given that we are working with highly sensitive data I think most of us wouldn't like our purchases being thrown on the internet so it is a very very sensitive topic in our field absolutely and so we have to sign lots and lots of non-disclosure agreements so NDAs are really a pain in our line of business but that's the way it is of course you could argue why don't you anonymize data sets and to some extent you can do so but even doing that is really tricky because there's always this one data source that is external to your data that could augment your data in such a way that you could actually identify who is behind the data so we have to be extremely careful with that but still it is a very important issue actually even that important that one of the leading journals in our field the marketing science journal actually they published in their editorial of January February 2013 so this year about a new policy they put in place that you have to share the data with them but even more so not just the data the raw data but also the programs you used to validate the results and so you're already there you have the question in front of you absolutely and so there's a push towards this openness and I'm very much in favor of that because we're also doing lots of open source software development so we actually support that but or even though our companies that fund us don't support that part but it is there is a big push towards this the the open question is will it happen because even this journal if you read the editorial so they put in a mandatory process but at the end they say you may apply for exemptions but when we talk about openness we can't avoid it there are some data that we cannot put out in the open but we have to make sure that it's somewhere safe and it can be repeated that it can be curated do you have help in your universities on that front from your university or do you say we need absolute or your institution or do you say we really need a more national approach or we need every library to step in and help us on this subject what is your feeling about the way I understand your question correct that you're asking what are we have sufficient help and support in opening our data or it's it's as well the archiving and curating so it doesn't have to be open then but in both in both sense because when you want to have data out in the open you also have to make sure that it stays open and that you create it that you archive it but some data will never well not quickly be open because it's too sensitive I can imagine yeah but it's both I yes and I can I there's lots to be said about that I guess but let me give you two things that I think are our pointers or could be important at least for the humanity side of things first there's again there's what is our data I mean if it's if it's journal articles I think the situation is sort of under control in the sense that we can publish these and libraries are doing their jobs and so these get stored and archived and preserved and opened and discoverable so that's that's that's something we we trust in as a word but then there's the sort of digital born data the data that gets created while doing your research and this is very much we're now experiencing sort of a not a full switch but at least the humanities research is augmented with this idea of open open science approaches indeed so where your data is being produced some sometimes by crowdsourcing and also the research process itself is much more open collaborative and it also means that for example in the case of digital editions these might not be closed down anytime soon so it might not be done at some point so how do we cope with this data that gets updated every time and again versioning and things like versioning etc etc so these are very much difficult problems we're still struggling with and yes we certainly could use to help a lot of reason archives there now there's the thing about open open data open access data apart from some things that you can't disclose for ethical reasons of course I think that the big trouble there is that everybody have no reason will deny the use of the usefulness of open data and usually within the humanities it's not very sensitive data in the sense that somebody will scoop my research out that's not a very big issue but what a big issue is is crediting the people creating this data and creating data sets and opening up data publishing data online digitally I usually never academically credited for doing so and this is so you say there there should be a policy initiative there because I'm not I'm not sure how we should implement that policy actually but I don't say top-down but I mean somewhere there must be yes there's definitely an urgent need for crediting just you know creating data creating data set publishing data if we if we don't sort of if we keep only crediting monographs and journal articles open access data will not very soon happen not even if you are increasingly this is just a demand from your funders there's no good stewardship in pressing people into lots of research is done now on that level how can other means of assessment also in opening up data and data publications and things like that I want to ask you that you have really big well rather big data sets I was thinking about the petabytes is something else but it really it's a big data set how many versions do you version the data how do you want to preserve them it's actually a very big issue in our field because the other thing is that we do modeling on the data so we do not just describe what's in the data we actually try to figure out causal relationships so we we hope in the data there are some natural experiments where for example prices were lower at certain point in time in the supermarket and at other points in time they were higher and we use we try to use these differences to to infer what price is doing and whether a lower price actually helps us in buying more so this is just one example we have this for many many for example on in how many supermarkets physically is my product available so what's the distribution coverage in my in my distribution channel so there are many many aspects to this and moreover we need to version the data so that we can do out of period predictions because we are not just in business of describing data but what we really want to do is we want to predict your behavior and we want to use these predictions to optimize our company policies and so that's a third layer so we really need different versions of our data so different histories so that we can go back how did we build models on last year's data and then we use them to predict next year and then we verify did it happen what we predicted so and do you feel that you can cope with that now or is it this is really a struggle at the moment what is the help that you expect good question currently we cope with it ourselves but it's a it puts a big burden on the PhD students and on our department to deal with these elements and you almost need an IT background to be able to cope with these so let's say help from libraries or IT departments would very much be appreciated to do that because of course massaging your data takes a lot of time people forget that it's almost 80 to 90% of the time of a PhD researcher preparing a data set so absolutely and so nobody credits that but in our field it's a little different because it's usually the PhD student who actually publishes it that actually also prepares the data so to some extent they get credited for their work but we forget that it is most of the most of the time involved of the whole process that's absolutely so that you need help from the libraries but we have I think we have to work together to get the right frame which data do we do we need to collect how is it described I don't know I really want to know and what do you think in the audience what what would you like to ask the the scientists what information do you need to help them what pops up in your mind anyone having a remark or a question on that yes I just wonder what do you wish your libraries and more generally your universities would doing for you that they aren't doing at the moment that would make I guess would allow you to concentrate on doing the research and not doing what you see as the things that distract you from the research well I understand that libraries are very much connected to this institutional archiving efforts and I think there there's various needs for for encouraging scientists to really deposit their data as well not only the paper but also the data and and there's various initiatives there's initiatives at the level of the funding agency where they they require depositing data there's a need from the requirement from the journals like for instance working with dry it on which we will have a presentation this afternoon I guess and I think that the libraries could play a role in on one hand together with this institutional archives to push forward for for this archiving of the data itself and in as in as a link in the whole chain and I'm lost I would like to answer two things to that at least that's lots more probably but first of all if you ask any humanities researcher what is a data you want was the information that you want simply get me all text world round in the same format exchangeable sounds simple actually it is pretty simple but it's a hard job doing that but what specifically legs but although it's coming more and more becoming more and more fashionable I guess is API access to their textual data so a means for my service for my algorithm to travel to your servers and parse or analyze the data that you have available from your collections of text now of course I'm text oriented so there will be similar questions from these perspective of get me all the pictures you have etc etc so that's very machine machine access to the data is very important and it's still very very obscure actually at the moment the other thing what I would like to do and would I would I be very much interested in is small scope small scale projects together with libraries librarians to figure out what actually because it sounds simple you know machine access what does that mean but if you go into really doing research you discover that there's all kinds of workflows and description problematics that you want to get solved and we need far and far more information on actually doing that and I think this is not by the way we gain this information this knowledge not by doing some grand broad European wide one-off project but by a multitude of small projects with specific libraries and specific research questions so that we can accumulate that knowledge on how humanity researchers actually access that information so go into your institution talk to the scientists or with a group of scientists and determine what the specific needs are and how they can be how we picked up in a workflow with standards and protocols that are more general can add to that I would definitely encourage all of you to not just think about the data also think about how people process the data and so the workflow is even more important maybe than the data because maybe the data you can recollect if something is lost but imagine for example the the case that we saw a few months ago or a few weeks ago of these two Harvard professors that did a very famous study on austerity and they they're in conclusions have been used by our political leaders but it turned out that they made a small mistake in their Excel analysis they excluded six data points and these were six outlying data points that made sure that the conclusions were some would argue wrong other would say yeah would yeah so the importance of the process and the programs and the code is as important as the original data just just a small addition so linked to the the role of libraries linked to the institutional archives I believe there's there's an important role in terms of guiding researchers towards certain repositories let's say they have this type of data okay this this would be the best fit for your data to deposit and I think there's a could be an important role for the library and scientists would accept that from us librarians well it's it's a valid question sometimes they don't sometimes they will you would accept that it's like okay it's this institutional archives itself they're not too popular I would think in general but it's something they have to do with and if if it's if at that stage you can offer them some help some guidance I think it's welcome a welcome addition thank you I have to end here I'm afraid let's talk more at lunchtime but I'm afraid I have to break it off here thank you very much


We started having this term called keeping it real. They still use it now. Matter of fact, there's even if you type in keeping it real, you might see somewhere where it says where keeping it real goes wrong. We used to say, or we may still say, let's just be real. Let's be honest. Let's face facts. Serious. Or seriously. Or let's keep it 100. All the different ways we can say, let's just be honest with ourselves. But let's be honest also. When we say, let's keep it real, because today we're going to keep it real. When we say that, we typically mean you need to keep it real, not me. I'm not into keeping it real. Matter of fact, I want you to see me how I see me, whether it's real or not. Now, you don't think that, but the first time someone wants to keep it real with you, no, the devil is a lie, right? But when you say it to them, I don't know why they can't see what I can see. How many of you, I've done this before, it's not a pleasant experience. You all have seen this before, where you've taken a mirror, the mirror that has the two sides, the one that looks regular, and then the one that shows you real up close. You know, this is when the mirror's keeping it real.  Yeah, that's the mirror you want to rebuke, that mirror, nobody likes that mirror. Why not? Because yeah, too close, show too much. It's too honest. The mirror is really keeping it real, and you can't say nothing to the mirror, because that's you. And so what do we do? We'll put some makeup on, we'll do this, we'll do that, we'll cover something up. We do, because we all got mirrors. Nowadays, even men look in the mirror more than women. So we all are concerned about how we look. But can I be honest with you guys? You're not that, you really aren't. You're not that pretty, you're not that strong, you're not that wise, you're not any of those things. And so now it's not meant, what I'm saying is not meant to kind of put anybody down, but just to keep it real. Now, as you get older, you start realizing that all your efforts to keep it real that went wrong, that was not the world or not anybody else's you. Matter of fact, there's one somebody that will always keep it real with you. There's one somebody that will always make sure that you come back down there. I'm not talking about God.  But I can promise you, life don't think that highly of you. Can I give you an example? I've told people before that I was homeless. Folks say, but Corey, how'd you get homeless? Me keeping it real and it went wrong. I used to play football at Texas Tech and this was the summer after my freshman year. My father did not realize who I was. My father, now this is back in now, I know y'all thinking as adorable as I am back then when I had hair, even more adorable. Yeah, I know what you're thinking. Yeah, how could that be? Sometimes, and some of you guys can testify, when you lose hair, you just go up in value. It's a few guys that understand that.   I'm getting close to 20. And me and my father ain't saying out of eye. Daddy, I don't need you. Listen, I'm about to go back to college. I only have a few more weeks before some break is up, going back to school. And so, yeah, I don't all these rules you got and this and that and BN at a certain time. I'm grown. Okay, what do you think he said? Do what grown folks do then. Bye. Now I left in his car. I left in his car. Now this wasn't a good day because I left in his car. Got my music up, driving about 55 miles. This was when the speed limit wasn't 70 y'all. 55 miles an hour, only 45. And somebody had the audacity to stop at a yellow. And so I ran into him in my father's car.  Me keeping it real, listen, your car got wrecked. He was hot. But I'm getting ready to go off to college. I'm gonna save my friend's house. I get a call from the football coach because he's keeping it real with me.  And so I tell you what, since you don't know how to grow up, you don't have a scholarship. So if you wanna come back, have your daddy pay for it. Now this is all in the same day. This is all in the same day. This is where you can see keeping it real going wrong. I can't go back to the house. I don't have a car and don't have a place to stay. And don't have the money. I'm homeless because of my own. Now guess what I did though? I'm gonna do like everybody else. I'm gonna blame my daddy. I'm gonna blame the coach. I'm blaming everybody but myself.  You see all the time that you was trying to keep it real and it went wrong, that was on you. No, and they're putting people that's gonna blame everybody else for their mistakes, for their failures. They're not keeping it real with themselves. And so for me, I wanna make sure that today we keep it real. Matter of fact, let's make it even more personal since we're in church. How many of you all by show of hands? Just raise your hand if you believe that you are a Christian. Just raise your hand. I'm going somewhere with this.   Keep it up, keep it up. Just look around and look at the folks that ain't. No, I'm kidding. I'm not gonna tell you to do that. But can I tell you the honest truth though? The larger the room, the bigger the people that, the larger the crowd of professed Christians that there are the likelihood that everybody who say they are ain't. I mean, let's just keep it real. Because how bad would it be to come to church, have a Bible, have different devices where you got your Bible or the word on those different things, and you might have a shirt that has a religious statement or whatever, a Christian statement, you may listen to gospel, music, contemporary, whatever. How bad would that be?  Can I submit to you that the person that does that is the biggest fool ever? Let me just keep it real. Because you are this close, this close, and nobody ever kept it real with you. Now, we're gonna look at those that are and those that ain't, and how to distinguish between the two. And then you will be able to judge for yourself because we're gonna let you keep it real with yourself. Because I can't tell. I can't look at you or you or you and say, you know what, you're not safe. Because on the day that Peter denied Christ, yeah, yeah, Peter, no, no, no. Matter of fact, you did what a few ever did.  He was just on the other side of the court and saw, made eye contact after he denied him out of his mouth. Now, I don't know Jesus. I swear to God, I don't know God. Kind of what Peter did. On that day and the day after that, you wouldn't have thought that he was. And so I can't judge. No one can really judge. Sometimes we can't. But there are in many cases, you really can't. And so this is where you gonna have to keep it real. This is where you gonna have to make sure that you are being honest with yourself. So what I wanna do is go to a couple passages and I wanna look at those folks who are not. Because the Bible will tell us how you can determine, how you can know if you are. And also share with us in his word how we can know that we are not. And there's gonna be a little bit of confusion because as we go through this, you might see yourself in both of them. Those that are not and those that are. But we gonna fix it and give you a way to see if you are. Amen. So if you would, go to 1st John chapter three. And the New Living Translation? New Living Translation. I tend to read out of the, actually I don't wanna read out of anyone in particular, but I'm gonna show you something because this is the same in all the translations. There's a little bit of confusion. And so let's starting in verse four. And immediately it says that everyone who sins is breaking God's law. For all sin is contrary to the law of God. Verse five. And you know that Jesus came to take away our sins and there is no sin in him. Anyone who continues to live in him will not sin. But anyone who keeps on sinning does not know him or understand who he is. Dear children, verse seven. Do not let anyone deceive you about this. When people do what is right, it shows that they are righteous, even as Christ is righteous. Verse eight. But when people keep on sinning, it shows that they belong to the devil. Who has been sinning since the beginning? But the Son of God came to destroy the works of the devil. Those who have been born into God's family do not make a practice of sinning because God's life is in them. So they can't keep on sinning because they are children of God, verse 10. So now we can tell who are children of God and who are children of the devil. Anyone who does not live righteously and does not love others or the believers does not belong to God. Now, here's the problem with that. Can any of you people that have raised your hand, which is all of you, ever identify with any of these things? Does it ever look like sometimes? I kind of do that stuff, though. There's, man, if you followed me around, if someone was videotaping them, pretty sure somebody has. I didn't look like a Christian. Some of y'all going to work next week. Tomorrow. And you know good and well. You don't, matter of fact, if you told your coworkers you were a Christian, they'd be, what, really? I didn't know. Because sometimes, let's be honest, let's keep it real. Sometimes we just don't look like, act like, speak like, think like, move like Christians. Sometimes what we read in 1 John 3 is what we see in ourselves. And so now what I wanna do is, how many of you all are in school, work at a school, work for a school or teach? Since we tend to have more members on average that work for a school district or in a school district, then I don't know what it is about the membership here, Pastor, but got a lot of folks here that are associated with DISD, FISD, or any other ISD. So you all can identify what I'm about to say.  Best of your teachers. How many of y'all know what a participle is? Uh-oh. Oh, go on it. What's happening with our students? I see. The teachers, no, I'm kidding. A participle has different nuances. So I won't go into all of the basics. Just think of this way. I-N-G. In. So when you say someone is, now it's not total, okay? This is just kind of some basic definition. But when you think run, making the participle they are running, it's like a state of this. Are you with me? Now, one of the things that God has done that sometimes our English betrays is his actual meaning. And so sometimes the English text is gonna try to give you an insight to what the Greek or the Hebrew is trying to say. Are you with me? So if we go back up to verse, let's go back to verse four in chapter three. Everyone who sins is breaking the law. For some reason, mine is off. Let me fix this real quick, because I thought I had this thing synced up. But anyway, the word that's used here, there is a participle, the one that is sinning. As a matter of fact, you'll see this word in Greek that means to do or to make, poeo, or in this case, poeon, which is the participle. This is a present active participle, which is why your English translation is gonna say the one, as we're reading, the one who makes a practice of sinning. Not sinning, because all of you sin. Matter of fact, you were born to sin. If you don't think you're born to sin, grab the nearest two-year-old, or five-year-old, or 20-year-old, or 40, and see, that's just what we do. I used to wet the bed. My mama asked me, Corey, why you wet the bed? Because mama, that's what I do. I wet the bed. That's why that's what I am. I had a practice of doing, and I was comfortable in it, because I know somebody's gonna change the sheets, and I'll get washed up, and I'm good to go. I said, why? I would say that I wasn't that old, but I did get to be a little bit older. I'm not gonna tell you how old I was when I stopped, but that was my, that was what I did, right? I had a practice of wetting the bed. Now, don't raise your hand, but ask yourself, do I have a practice of sinning? It might be difficult to figure that out right now, but just let your mind work a little bit. Now, what I wanna do now is, I wanna go to the next chapter, because I wanna talk about what God says about those, or how you can know that you are one of His. These are the people that were subscribed that are not believers, but now I wanna look at the people that actually are believers. And so, standing first, John, going over to chapter five, matter of fact, let me put this on here, because it's by of me. I'm trying to look at the actual text here, and it's killing me. I've got two different texts up. Okay. So now, okay. So, if I look at verse five, it says everyone who believes, verse one, that Jesus is Christ has become a child of God. The word that's used there, and it's the Greek past, present active participle, it is past, hapistoan. That pistoan, belief in Greek faith, is the present active participle. So what does a participle mean, teacher? Those that are doing is a state of. The Bible does not describe a Christian as someone who believed, or believes it describes a Christian as someone who is believing. That's why you need to become very familiar with the ING, the in in your life. So he says everyone who is believing, pasapistoan, all the ones that are believing that Jesus is a Christ. Now, you need to understand something. There's a head knowledge. An unbeliever can believe that Jesus Christ died on the cross for us. An unbeliever can believe that he had to do it because a debt was owed, we couldn't pay it, and that by having faith, or believing that that he did, would gain us eternal life. An unbeliever can believe that, can make what we call mental ascent. Can I recognize the facts? I see the facts and I agree with that. But there's a difference between that kind of belief and the belief ING that we are as Christians. So he says everyone who believes or was believing that Jesus is a Christ has become a child of God. And everyone who loves, and oh, by the way, it's agapone, guess what that is? ING. When you see what God is talking about that he's describing us as the Ings, sounds bad, it's not good English, but that's what a believer is. I believe in one, a loving one. John 10 makes this case, we won't go there, but in John 10, he talks about how he is a shepherd and how his sheep are following him, how his sheep are hearing him, and when they hear a stranger's voice, they will run away, they'll fall away, and then he makes this statement in 27, 28, that my sheep I give eternal life and they shall never ever perish. Not only will they not fall away or walk away, nor can anyone snatch them out of my father's hand. So a sheep is someone who has a habit of following. Now, have you ever seen a sheep? Have you ever seen them follow? You may not seen one, but you've seen the sheep's cousin, the kid's children.  Do they follow you in a straight line? Now, the priors got about, what do you got? 12, 11 kids? Something like that. So I can imagine when y'all go somewhere, can you just imagine all the kids following? I can imagine, because I know. They don't follow in a straight line. Matter of fact, every now and then, you gotta say, hey, come on, you gotta grab one, you gotta pull one. I've even seen folks get to the point where they put lassoes or leashes on their kids, because hey, this, so just to keep them following, just so they don't struggle, but guess what they will do? Every time mama or daddy say, come on, what do they do? Pop up and keep coming. They may follow sideways, they may follow going forward, they may even follow, because their kids follow backwards. That's what kids do. That's what sheep do. Guess what he describes us as, as sheep. So we make a practice of following.  Everyone who is loving the Father loves his children too. Look at this. We know we love God's children if we love God and obey his commandments. Loving God means keeping his commandments. This is not referring to the Ten Commandments, guys, just keeping his teachings. And his teachings are not burdensome. For every child of God defeats this evil one. The word for defeat or overcome in some of your verses might say is this Greek word for nike or nikke or nikon. It is a, what tense of the verb you all think that's in? I-N-G.  All you got to remember is the Ings, I-N-G. This is what we do. We are overcoming. Who overcomes the world? Now, how many of y'all believe you're overcomers? But how many of y'all feel it all the time now? I don't feel like it. Matter of fact, Lord, if I'm such an overcomer, why don't these bills know it? Lord, if I'm such an overcomer, why did my loneliness know it? Lord, if I'm such an overcomer, why doesn't the job get it? It seems like at some point in time that I'm not overcoming. Well, because overcoming is what you will realize at the end. It's kind of like anybody watched a basketball game or a football game on repeat, you know the score, but you go back and watch it.  Same thing here. So God looks at us as overcoming, but what do we do? We look at the different obstacles in the way and cause us to feel like I'm not overcoming. So let's look what he says. He says, verse five, and who can win this battle against the world? Only those who believe, and this word, let's make sure I'm reading it right, those who are believing that ING is still there, the high pistol one, or in this case, the high pistol one, the believing. And then he makes a statement down at the bottom. He says that, how do we know that we overcome? What caused us to overcome? What is it that overcomes? It is our faith, this believing. Now the question is, and this is where the confusion comes in, so, Anthony, I need you to help me out. This is where the confusion comes in. Because as I'm trying to keep it real, I don't fully, I wanna keep it real, come on Sage. I wanna know which one I am. Cause I think I'm safe, but then I might be safe. Has anyone ever questioned your salvation? Come on, come on, let's keep it real. If you've never questioned your salvation, you might not be safe. Why would I say that?  And you'll have a string of successes, successive mess ups. Christians don't keep messing like that. No, but you do. Paul says the good that I wanna do, I don't do the bad that I wanna stop doing, the things I wanna stop doing, I keep doing. Now this is Paul, this is Paul. Yeah, but that's Paul, I ain't Paul. I ain't Paul, and if you would've saw what I was looking at last night, you wouldn't think I would say. I'm questioned, matter of fact, I got this habit, this thing I just can't shake. So now, what I wanna do is kinda make a distinction, and we'll go ahead and close. Sometimes you feel like you are first John chapter three. You are sinning. And then sometimes you feel like you are first John chapter five, believing. Sometimes you feel like a Christian, sometimes you feel like you're not.  Sometimes you feel like a nut. Sometimes you don't. I was wondering, I knew somebody, there we go, there we go. So how do I know the difference? Well, I'm gonna need Preston to come help me out as well. Move the microphone. Now, I've got this young man who I dearly love. He's got some problems though, he's not the biggest. He's got some hair out of the way. He's got too much hair. I don't like his hair, but I love him to death. Preston, need you to stand up. This is what I want y'all to see. This is what I want you to see. Y'all do realize that Christians abide in Christ. Christians keep abiding. Christians keep believing. Christians keep following. I'm a Christian, but today I wouldn't abide and I wouldn't follow. I wouldn't, I believe, but I was on something else. How do we become overcomers? How do we know we're saved is because we what? Believe. Is that right? No, it's not. I just told y'all, believing. We are believing. Not believed. Anybody can believe or believe duh. Look at Luke eight as he talked about the parable of the seed, the sower. He literally talks about people that believed and then Satan comes and takes it out of their hearts so that they won't be believing. That's literally what he says in the Greek. And so you can believe. Yeah, I know Jesus is a Christ. I know that. Yeah, I know, yeah. But I'll get real with him later. So now, how do I know that I believe? The word for believe means trust. Okay, so we say believe or trust. How do I know I trust? Here we have a chair. I don't know why Luther just popped in my head, but a chair is still in anyway. Some of y'all don't. Let's keep it real. Some of y'all know who Luther is. But he pressed it to keep it real. What is the chair made for? To sit in. Right now, nobody's sitting in it. But the chair will give you rest.  Now do me a favor. What's your name again son? Okay, okay. Want to be Corey? Have a seat. Does the chair suit you, is it holding you? Okay, cool. All right, you know it holds you. Okay, get up. This chair would represent Christ.  I believe that the chair can hold me. I'm tired.  I've got fallen arches. I've got swollen corns. I've got all kinds of issues. I've got athlete's feet and I've got gangrene. All that I want to sit down. My knees hurt. I'm just tired. Wouldn't it be cool if the Bible actually put a verse in there that says if anyone is heavy laden, burden. Wouldn't it be cool if the Bible actually had a verse that said to come to him and he'll give you. That'd be cool. Maybe we ought to write that in the Bible somewhere. Oh, it's in there? Oh, okay. It actually is. Okay, okay. So there we've got rest. I want to make this as visually clear for you guys. This is a brother who says he's a Christian. I know he is. I see him get up. I see him read his Bible. I see him bathe his children in the Bible. I see him, they don't, good men of God. At least it looks like it. Looks like it. I don't know what's on his phone. I don't know what he does when he drives to work. I don't know what he's looking at when Morgan's not around. I don't know. Have no idea. Morgan's over there wondering like, what is he watching? What is he? But he looks like a good Christian brother. How we know he is is by who he trusts. So let's make this real. So if you trust this chair to hold you, what would you do, Anthony? Sit in it.  I need Preston to stand right here. Pret, no, not in the chair. Preston got some nice eyes on him. Now, if we look at, matter of fact, let's move it over, I want everyone on the camera to be able to see it. If we look at Anthony, stand beside him Preston. I mean Anthony. It's a little bit of a difference. Now, I'm pretty sure if we said if there was a fight, most folks putting their money on Preston. Preston got some size on him. Preston got a decent haircut and all. So Preston like, you know, maybe, maybe not. Here's what we tend to do. Anthony, can you face Preston, please?  This is typically how we are as Christians. The problem, we face the problem. Right behind him is what? The chair, the solution, the trust. And so we go all day long, all week long, all month long, talking about the problem. It's a chair right there. He's not stopping him from getting in the chair. He's just in view of him. Anthony, can you do us a favor? Instead of you fighting, possibly getting beat, you might win, you might win for the moment. But what's the smart thing to do? Now, what he doesn't have to realize, what he doesn't have to do, stay right there for a second, Preston, what he doesn't have to do is question the chair. You can sit in a chair, brace yourself, hold on, get a good wide base, just in case the chair don't hold you. You can do that. If you do that while sitting in the chair, what does that tell us? You don't trust the chair. So now, can you do me a favor, Preston? Can you hover over him for a little bit? However you want to.  You let, so what is he showing he's not doing? Believing, trusting. But go back and sit in the chair. Do me a favor, Preston. You got some size on you. Can you grab the back of that chair for us? I just wanna see if it's gonna work out. I wanna make sure I've got some things straight. Can you just shake the chair a little bit? Okay. But yet he's still sitting in the chair. He came right now, what Preston can't do? Matter of fact, get up for a second, Anthony. Do me a favor for a second now. This is only a problem, life, world. Can you break that chair for me? You can't pull it apart? Okay, I'll just. Now, it's just a chair. Y'all do know somebody gave us the ability to create this chair, right? Y'all do know somebody's actually stronger than this chair, right? So why do we treat the chair any better than we treat God? If you are, now this is how you know. Today is Sunday. It is 1205. 12, 15, 12, 30, something's gonna happen. Preston's gonna show up. Yeah, Preston's gonna show up. Maybe two Prestons. Maybe, listen, I'm not getting on your looks, but maybe a prettier Preston. A more shapely Preston. Yeah. A batten her eyes Preston. Switching her hips Preston. They got all kind of stuff. By the way ladies, y'all keep some stuff covered up please. It's just a little FYI. Yeah, can I just say y'all this? Listen, I don't care how godly the man is.  Amen? That's just side note, side note. But Preston comes in all different form shapes and sizes. It's gonna come 12, 15, 12, 30, Monday, Tuesday, Friday, Thursday night, three in the morning. In your dreams. Preston's gonna show up. I shouldn't say Preston, now we're gonna make Preston's synonymous with the world in the sand. But this big brother's gonna show up. What you gonna do? I submit to you, this is how you know. If you are, if you're not. Anthony, can you demonstrate again please? Just so we can have visual. That's it. You know you are his because you keep doing that. You keep trusting. You keep believing. You keep, now, so let me just put it this way. I said all that to say this, you ain't all that. Let's just keep it real. You're not that pretty. You're not that smart. You're not that wise. You're not that strong. You don't look that good, but I know someone who does. You're not that smart, but I know someone who is smart. You're not that wise, but I know someone who is. More to the point, you're not that faithful, but I know someone who is. You're not good, keeping it real, but I know someone who is. And all you gotta do is rest in him or trust in him or have faith in him by ING part. Because if you're doing that, what you cannot do is that this is the pattern of your lifestyle sitting in this chair, you can't be practicing the other thing. Are you with me? So, as I said before, you would be a fool to the 10th degree. I don't know if that's even proper to say it that way, but you'd be a big fool to be here, or any church, or to have any Bible. You literally have what God decided to leave with us, his word. I don't have a better word than you have. My Bible is no better than yours. Matter of fact, we got access to every translation on the planet. You would be a, let me say it again, I wanna make this clear, I wanna make this concise, and for some people, I wanna make it biting.  Keeping it real. Because if you go to hell, you keep it real there. You'll know where you are.  Lord, I'm not sure. Okay, I'm not sure. As the man said, did Jesus help my unbelief? As Jesus is speaking to Lazarus' sister, he asked her, do you believe? Do you believe? More to the point, are you believing? Amen.


Hello, welcome to Scripting for Artists. My name is Sibirin and today we will look at for and while loops. On Twitter Roger asked, I see you have four loops, when is it better to use while loops instead? I think it's a very good question, so let's take a look at that. So in this video first we will look at four loops and while loops, how did it work, when what's the difference between them. We've seen four loops before, so we're going to take another look at while loops to see several reasons why you would use them and I will go over a few more ways to control your loops. Because the question is a bit more abstract, we will start in a more abstract way. In a few minutes we'll look at a concrete example that combines both a for and a while loop, but first let's take a look at both of them side by side and see how they differ.  The for loop iterates over a bunch of things and iterating basically means asking next please. It works well when you have a sequence of things like the selected objects or the numbers 0 to 600 like we saw in the grid of monkeys. The while loop is more primitive instead of asking next please and expecting Python to understand and provide the next thing. It asks should I keep looping and this is very useful when you want to keep repeating until you are at a certain point. Another way to think of it as I mentioned already, it looks like an if and it's basically a repeating if statement. So you've already seen plenty of examples of four loops, so let's look at a while loop. Let's say you want to simplify the mesh until it has 10,000 vertices or more. So this will be one way to do it. We can first start looking at the mesh, which is given us to as what bpi context active object dot data and mesh has vertices and we can inspect the length of that to get the number of vertices. So in this case, Suzanne has 507 vertices. To simplify it we need to go to edit mode but object dot data is only updated after we go out of edit mode again. So this means our code has to do the following. First, we go to edit mode, then everything is selected now but just to be sure we select everything, then we subdivide and then we go back to object mode. And now when we look at length mesh dot vertices, we can see that it has increased because the edit data has been flushed back to the actual mesh. So let's put this in a script. Let's get rid of this. Start with import bpi and start by getting the mesh. And then what I always do, well not always but what I sometimes do when I'm not too sure about my while loop because there is a risk that you get an infinite loop. If you say well true, well true is always true and code here will just keep on repeating forever. That's not so nice because it will actually hang blender. So instead of while, write if. So if the number of vertices is less than 10,000, we need to do a subdivision. And for now we can just test one subdivision. And if that works, we can change the f to a while and have it loop until we need to stop. So we need to go to edit mode. So hover there, Ctrl C and Ctrl V. Then once in edit mode, we need to select everything just to be sure. Hover and Ctrl C. Then here Ctrl V. Then do the subdivision. Hover, Ctrl C, there, Ctrl V. And then we go back to object mode. And this should work. Famous last word. So we start with the object in object mode. And there you see it has done one level of subdivision and we can keep going. And now you can see that the code no longer works. And why is that? Well, the number of vertices has gone over 10,000 and it will stop subdividing. And this tells us that once we change the f to a while, it will also stop. As you can see, the code doesn't do anything. And that means this condition is checked first. So it's at the top of the loop. So it makes sense that is also checked first. So first is the check. If the check is true, then there's a loop iteration. Then again, there's a check. If the check is true, there's another loop iteration and so on. So let's throw out this Suzanne and add a new one. I will click once and immediately we end up with the final subdivision level. So this is how you can use while to loop until some condition is met. So I already mentioned that it's possible to create endless loops. And I will show you a way to control the number of iterations as a sort of safety net. And this may not be useful for your situation and maybe overkill. But it's a nice tool to have in your toolbox anyway. So what we want to limit is the number of subdivisions. So just let's keep count of them. We start counting at zero. We keep the code as it is for now. And then here at the end, we say sub divs plus equals one. And what this means is that after the subdivision is done, one is added to sub divs, and we keep looping. So far we only count, we don't respond to it yet. The loop doesn't break when sub divs get too big. So it needs to keep looping while the number of vertices is still too small, of course. And while we'll make this a little bit smaller, while sub divs is less than three. So now it will only subdivide three times. For sub divs is zero, one and two. All of those times sub divs is smaller than three. And once we've done the third, sub divs will be three, which means the loop will break. So now that we have a situation where we're counting things, we can actually rewrite this to a for loop. And much the same way we did when creating the monkey grid. So instead of keeping track of the number of subdivisions ourselves, we can say for sub divs in range three. And this will only do it three times. So the only thing we need to do now is stop early if the number of vertices is big enough. So instead of saying while the number of vertices is smaller than a certain number, we say if the number of vertices is bigger than or equal to that number. So we flip the condition, we break out of the loop. And break means just stop right now with that loop, don't execute anything else in that body, break out of it. And then we can remove this, we can remove this. And here we have our code again. So we replaced a while with a for we move the condition from the while into an if. And the for make sure that this only happens three times. So let's take a look at what that looks like. Let's start with a fresh user. And we can't reuse this mesh, because that's still refers to the old one. So let's say Len contacts dot object dot data dot vertices 507. And we execute this code now. And now we can see that the result is exactly the same, which are kind of expected, because it reached the limit of the number of vertices before it reached the limit of the number of subdivisions it was allowed to do. So let's try with a fresh Suzanne and set this limit to a million. It probably won't reach a million vertices in three subdivisions. So we should end up with something less. And there we are exactly the same result again. Let's increase the limit of the number of subdivisions. Start with a fresh Suzanne. And it has done one subdivision more, but it did not reach that million, because we had a limit on the number of subdivisions it was allowed to do. So this is another way you can rewrite your wine loop into a for loop and an if. And then you have a limit on the number of iterations that it does. So this is it for this episode of scripting for artists. If you have any questions or remarks, please leave a comment below and I will see you soon.


What's going on guys got Kyle here with laden sports cards, and we are ripping this is two boxes for mr. Steve s We've got one twenty twenty two twenty three Bowman Chrome University, and we've got one twenty twenty two Donner's Optic football Good luck sir. Let's see what we got. We'll start with the Bowman See if we can find those redemptions here Any Tony Pollard or Malcolm Mitchell not today not today. We haven't had any football yet today Just some basketball to start and some Star Wars and some Star Wars Tony Pollard Malcolm Mitchell man Malcolm Mitchell. I've heard that name in a while. I haven't heard that name in a while Remember I'm having some hype for sure You just couldn't stay healthy a thing refractor L. J. Criar Zach Edie there's a refractor Derek lively Cam Whitmore base Come on or come on redemption Come on redemption We've got Invicta Oscar Sheeboy for can't Kentucky for Stappin's got a 20 second lead 20 seconds. There's a Kallel wear throwback 2009 That's the Steph Curry Bowman throwback. I like that. Uh that red back Another Invicta this time it is Jordan Walsh For the Razorbacks got a sky scraping a Mari Bailey UCLA got a Drew Timmy throwback refractor 2009 Drew Timmy. Is he still eligible? Is he coming back to Gonzaga? I really have no idea Feel like he's been there long enough right nim hard. That's orange That's orange. Come on Steve s That is orange Chris Livingston auto out of Kentucky on the sky scraping That one is numbered 11 of 25 nice hit there for the big man out of Kentucky. Very nice Congrats on that one Steve s. I'm not sure Cooper. I can't see that I have the restream chat open. I don't see anything there. There's a refractor PJ Hall had a Clemson Clemson there's our second auto. It's gonna be Jordan Walsh out of Arkansas Nice one there on the base for first bowman auto Not numbered on the Walsh. Let's see some low numbers here. Let's keep it going There is purple shimmer Jordan Hawkins there out of Yukon nice player there not numbered on the purple shimmer They're about one per box Refractor Marcus Sasser nice one there for Houston mark Mitchell Derek lively. There's a sky scraping Brandon Miller Juju Watkins was one lap left in the race dang There's a throwback sassard For Houston, I don't think they would there's a Mikey Williams throwback. I don't think they'd go right to Facebook Cooper, I don't think so Let me see if I can See anything on my end here. Just a second. There's a Jaden shut green shimmer to 99 Nice one there Jaden shut for Duke got a Katelyn Clark base nice one there as well drew Timmy Tiger Campbell There's a aqua first of Derek lively nice one there to 299 for the Duke guard Oscar Sheeboy Zion Cruz Hunter Dickinson To left and we got the optic football So we can pull us in a little downtown or something here Sky scraping MJ Rice Tyrese Proctor. Alrighty, that'll do it for the bowman chrome here Steve Let's go with the optic football now And this is Steve S guys Steve S Good luck, sir Didn't have some really nice optic boxes man yesterday morning was Hot there were some hot boxes that yesterday morning man. Let's keep it going. Good luck There's stadium circles the 125 Leonard Williams There's sauce Sauce it is gonna be numbered to 99 silver the rookies insert auto of Malik Willis Someone there QB for the Titans the 99 on the auto Yeah, rookie's insert auto there I'd say there Steve Cam Taylor Britt For the bangles there is dark blue to sorry 299 that is light blue to 299 Jamar chase Dark and like and you confuse I guess and for stopping wins very easily There's a nice one light blue to 299 got George Pickens on the rated rookie Nice hit there and a breeze Hall base But easy E on the jazz refractor here Jazz there easy E not numbered nice one there the new refractor Yeah, I know I was what just what saying that CW It is a it is dominance right now man. No car is even close at the moment There's a Carson strong radio rookie hollow breath. That's a drink if you're here That's a shot Carson strong Jaylin Naylor Yeah, he's winning. He's winning incredibly easily CW. It's kind of crazy We got a Tony Gonzalez on the B to 65 electricity insert Tony Gonzalez Damian Pierce rated rookie heaven Harris. There's a light blue tractor seat toe to 299 tractor seat toe TDP there's a hollow to a to wreak woolen. There's a rookie's insert Garrett Wilson here strong Refresh real quick. All right guys still about an hour queue. Nothing come in too too recently There's another pier strong on the stadium circles to 125. I Still don't think that's a thing Sam told me that I don't think that's a real name Stadium circles. I don't like it Lewis a second place. There we go. Got both the Mercedes on the pole or on the podium The Herbert there's a von Miller hollow silver circles See I knew Sam was lying to me. You see knew it that kid man that kid and Is a my house scooper cup on the hollow? I like these my houses man with the uh with color. They look really good to my houses So retro series that is gonna be Bruce Smith the bills Kenny pick it base rated rookie. There he is Max max with the W. There's a Dalvin cook the 179 Dalvin cook Desmond Ritter. It's a 199 AJ Brown For the Eagles for shot white Face packed are stingly on the back. All right. You guys looks like next up will be you see you see next up That is Black Pandora on the last pack. Let's go It is gonna be to uh on the Black Pandora 25 Nice one there to close us out Steve Black Pandora to up That one is number 10 of 25. Love the Black Pandora, man Such a beautiful card design alrighty mr. Steve s that will do it for your two boxes there Thank you so much my friend. We'll get them right out to you


I spent a couple of years with the high-performance racing group, building cells to use in race cars. And when you're watching a Formula 1 race and you're watching two cars and they're really close to one another, really close and then you see that the one in front is charging their pack just that little bit more. And that power comes from our cells and our chemistry and our batteries. This tiny battery that can shove 250 extra horsepower out through the wheels. And it's amazing. It's a lot of data manipulation. A lot of what I do includes making sure that the data is correctly generated so that the answer is obvious. There's a really interesting interaction between the people and what they do and the computers that they input the data on. We energize the world. We know that today we're responding to an electric world. It's quite motivating to see that batteries can be embedded everywhere. It's innovative, it's dynamic, there's a lot of subjects. We can go through a lot of different themes, different clients, different constraints. I was able to lead a project with the support teams on a new installation of a thermosubur. It allowed me to complete my skills as technical as well as social. It's really important in my eyes to be solid to move forward where we want to go. The industry is resonating with the masculine, but it's also connected to the feminine. So that's why I also invite you to join us, men and women, because the industry is open to everyone, 30 years of experience, that's it. I'm a woman, there were different activities and it's very interesting to be a director. I know that it worked. In fact, I really had the opportunity to evolve very quickly over the last five years and over things that are more and more gratifying, to enlarge my skills and my knowledge. It's a society that is well-being. We progress in the contact of others. There is a lot of exchange, a good company to grow. And then it's a big company with development models and processes. So we learn to work together, all the same. That's why it's interesting. I'm never bored and for me working here means that I get to stretch my creativity all of the time.


Hey everyone, my name's Adrian. I'm the CEO of Remaq to Southern Africa. I look forward to seeing some of you at the virtual private property property show on the 2nd and the 3rd of October. It's free of charge. I'm going to be doing covering two topics. The one is how to stand out in a sea of vanilla. It's called Be Remarkable. So I hope to catch you there. And the second talk is about the things to look out for when buying a home. So first time buyers or even repeat buyers. Hopefully I can share with you some tips and techniques and what to look for. So hope to catch you there. I'll see you all soon. Bye.


If you need to buy or sell a property, then perhaps choosing an estate agent to do so might be the way to go, or is it? Here to explain more to us is private property CEO Simon Bray. Simon, so good to see you again. You too, Lea. So we're talking estate agents this morning. Can you tell me what exactly is their role?   But a lot of people don't really understand exactly what it is to be an estate agent until they have to come and sell their home. They take all of the difficult parts of the sales process and they make them easy. So they tell you what your property is worth in a kind of unbiased, market-related way. They certainly do all the hard graft in terms of sitting at show days and showing people through your property and doing all the viewings, which can be, you know, quite a hassle. They negotiate. I mean, not a lot of us are great at haggling on price. True, true. And estate agents are, I mean, they're born to do that. And most importantly, they market your property. So they give you all property access to the broadest possible audience that it could receive through platforms like ourselves. So we partner with estate agents across South Africa to bring their listings to life on private property. So if I were looking to sell a property, how do I go about choosing the right estate agent? Well, I mean, it's like anything in life. You really want to research it well. You want to get an understanding of what's going on in your local market. Platforms like ours can certainly help. You want to see who are the active agents in your market. Who are the guys that are getting good referrals. It's great to talk to your friends that have recently sold and see what their experience was like with a state agent. And if you really don't have any other touchpoints like that, our website also provides a great service where you can find estate agents in your area. You just type in the suburb that you're looking to sell in and we give you a list of recommended agents. I think the one thing that's quite important to understand is that estate agents are actually professional individuals. They're qualified. They've got certification. So it's important to ask them for that certification when they're coming to market your property as well. I believe in letting the professionals do the job. So on this flip side of that coin, what if I were looking to buy? Would I need an estate agent as well? Well, it's an interesting question. In some markets around the world, there's an agent that represents the interest of the buyer and there's an agent that represents the interest in the seller. In South Africa, we have one agent mentality. So usually one agent will show buyers around the property as well as talk to the seller. And that's why property portals become a very valuable asset to buyers because there isn't really the buying side agent. So the portal becomes their opportunity to see everything that's in the market, to acquaint themselves with properties even before they go and visit them. Simon, so I know anybody watching at home and personally I would like to know this as well. Homeowners, what can they expect from their estate agents? Well, the critical first step is to ask your agent what is their marketing plan. They're going to be marketing your listing. They're going to be putting it online in newsprint. They're going to be marketing for sale boards. They're going to be marketing with show days. So it's important to understand what the steps are that they're going to take to support the marketing of the property. Because obviously the broader the audience that sees your property on the market, the more likely you are to get the sale that you want. So a marketing plan is all important. But you should also expect a lot of support in the sale process, you know, for sale documentation, advice on which attorney to use, advice on how the new buyer should perhaps find finance for the home. And that's the kind of professional support that you'll get from an estate agent. So it's also knowing what the right questions are that you have to ask as a homeowner as well? Absolutely, you know. And it's worth tapping into resources and finding out what advice others have got on the issue before you sell. Wonderful. Okay, so I think it is time for our Simon Bray tip of the day. You know, when you're talking estate agents, you can look at the commission and think that it's quite a hefty price to pay. But paying for professional service is a lot better than paying for amateur service. So if you find the right agent, they're absolutely worth the money. Once again, quality over quantity. I love it. Thank you so much, Simon. Well, there you have it, a very helpful tip. When it comes to your property, you can also visit the private property website on www.privateproperty.co.z to get all the information you might need.


It has been such an essential part of my education at Mount Holyoke to have so many people in the classroom who come from places other than where I'm from. When you come into Mount Holyoke, the biggest thing is that everyone's really different. They have their own story. Being exposed to so many different kinds of people is a place where everyone is accepted no matter your background, your perspectives, where you come from. When I come back to Mount Holyoke, I feel so lucky to be a part of such a diverse, inclusive campus. Really just having that community to go back to at the end of the day has helped me feel like I belong here at Mount Holyoke. Everyone is coming in with these different life experiences, whether it be cultural diversity, religious diversity, socioeconomic diversity.  It's pretty great. It's really exciting to know that we have friends from all over the world that we can continue to be in touch with even after we leave Mount Holyoke in South


Good evening. This is Crime Classics. I am Thomas Hyland with another true story of crime. Listen. That's a couple of crocodiles roaring. They can do other things. They can snap. They can slither. As a matter of fact, when there's zoos around they do this most often. They lay eggs too, but no one's ever heard it done. The crocodiles who've been doing things for us are East Indian crocodiles. From a province in the south through which the Ganges flows. Each village in the province has its private pit dedicated to the happiness of their slimy and slithering friends. And sometimes a fellow would lose hold and fall into the pit, or jump in, or be pushed in. However they got there, the crocodiles took them in their stride. People were their favorite dish. So tonight, my report to you on Rashi among the crocodiles and the prank he played. Crime Classics. A series of true crime stories from the records and newspapers of every land from every time. Your host each week, Mr. Thomas Hyland, connoisseur of crime, student of violence, and teller of murders. Now once again, Mr. Thomas Hyland. Where the Ganges edged the town of Mahadwat, it was not holy. As a matter of fact, there was little to note in the town of Mahadwat. True, there was the crocodile pit, but the crocs were smaller than in, for instance, the village of Gumbau, just three miles down the river. Mahadwat had its share of temples, but they were kind of run down. It had its quota of fakirs, four of them, but none of them outstanding as, for instance, the gray fakir of Gumbau. To whom everybody brought ashes, but it had one edifice of which the villagers were rightly proud, the house of Matabar, a rich and ornate house, of which Udi was its master. It is written, when the moon is Genji's plucked, Vishnu looks with favor on a son who does not stray. A gentle man, an old man, a widower with a son named Rashi. Old man, listen to me. The world is not this village. The world is vast, and I must know it. I plead with you. The world, what I have seen of it. Fruits and ecstasies and all manner of delights. Fool! It is written, he who tastes sweet, I care not what is written. And what do you do when you wander, son? Beg. You suddenly become a holy man. I merely don my rags, plough for a palm, and, when enough coins are placed there, I doth the rags. Then, then, father dear, I dress splendidly again and walk to the bazaar. I have found, father dear, Mariah. Vulture. I have found, father dear, that delights come most easily to a young man who dresses splendidly and who has coins. Surely that is written someplace, or will be written. Father. What? I would not stray. I would remain in the village, if you would give me of your wealth. I cannot. And why can you not? Until rushy, until, son, you prove yourself a man. Then will I gladly give you. Old man, old man, listen to me. I am more a man than you could dream of. I've been far already, a hundred miles from here, and I will go further. And there will be a day when I will not come back. Speak not so. And I give you another bar that you want, old man. Speak not her name. Kamala. Kamala, the cousin to my cousin. Perhaps, perhaps, father dear, I will marry her. Speak not so. I beg of you, speak not so. She is calmly fathered, and of our blood even. What if she walked slow by the river, and tarries too long with the faquirs? What of the- Get out! Get out of here! Go! Very well. Shall I come back, father dear, ever? Shall I? Son, son to me, let me awaken you in your bed here in the morning. Be of my house. I will decide it. I will speak of it to Kamala. Then I will decide it. We have gleaned two things about Rashi. He was a gadabout who visited strained cities and begged the price of admission. And he was a bad son. Here's something else about him. He played a musical instrument, a reed pipe. He would go out by the banks of the river, find a clearing in the jasmine, sit and look at the moon. He liked very much to look at the moon, for this same moon rode over the far places. And Rashi was a dreamer. Then, to his dreams, he would finger himself a tune. You might say, didn't he draw cobras? No. No, he didn't.  Rashi. Sadness is your song. And longing. Why longing, Rashi? I am here. That is the moon, Kamala. Yes. The moon my father will not buy for me. Wicked father. Rashi. Yes. Were he to buy it, what would you do with it? Give it to you. Wicked father. Miser. Old father. Who will not die. Rashi. Who will never die. Rashi. What? I brought you a lotus to tie into my hair. Again? You're tired of me? No. No, I never will. Give me the bud. Yes. Kamala. Yes. It would be well if my father would die. Why not your fawn's eyes in dismay? But think of it. It would be well if my father would die. Then the moon and what it looks upon would be yours and mine. Look you there, where the river bends. Huzoor the fakir glows his coals. Huzoor the wise. Not so wise. Wiser than you, therefore wise. You would go to him? He has said to me, saying, Kamala child, in trouble and in question, come to me. Kamala child, saying he said. My father is in trouble. Huzoor the fakir glows his coals. Let us go to him. Yes. Then not yourself to the glowing coals, Kamala child. I will be careful. Huzoor. It is grievous this riddle you present. How say you it again? The cousin to my cousin will tell it. The riddle is this. In a far-placed, well-to-wealthy man, he prized his gold and his jewels above all, saved his son. His son to him was as the gentle rain and the shining stars, yet impoverished he kept his son. And the riddle is this, fakir. Would not the earth spin more easily if such a father would die and be delivered of his wealth to his noble son? I like riddles. Well, would not the earth spin more easily, as Rashi has said, if such a father... Rather consider such a son. If such a son be dead would not the father have an easier time? Twenty rupees, please. Do not pay him, Rashi. He has told you nothing. Not one rupee, fakir. Very well. At least spread the coals for me so that I may walk and soothe... Spread them yourself. Very well, child. Yet I wish a blessed evening to both of you. Blessed evening, fakir. No rupees. Come, Rashi. What shall we do, Kamala? We will think of something. How shall we start thinking? With evil. Let us try that, beloved. There are enough food to eat, son. Son, why do you mock me in the public market? And what you say is not so... I am in rage. The son of a rich man in rage. Nor is there enough to eat. Listen, these lies you are saying. Listen all. My father sits among his riches and draws his hands over them and laughs in his beard. Nor does he give charity without expecting return. Lies, lies. And I, his son, must share scraps with his dog. I tell you this, all of you. So if one day I am starved... A curse! A curse on my son. Father, he should be dead. Which happened in the bazaar in the town of Mahadwad. So everybody heard it or was told about it. Results? Much nodding of heads and plucking at beards and mumbling and gossip at the wells. And more so when Rashi was suddenly not around any longer. Not at his usual haunts and no more piping of the reed among the jasmine. People forgot that Rashi disappeared from town quite often. But instead they remembered what his father had shouted at him in the bazaar. A father had growled and the villagers were mumbling. And one day this happened. What brings you to my house? You are my cousin's uncle, Udi. Should I not be in your house? Speak what you want and go. I have a letter. From my son? No, not him. Where is he? I will read you the letter. Give it to me. Very well then. Very well then. To Kamala, beloved of Rashi. Very well then. Read it, read it. Do you pray me? I pray you. To Kamala, beloved of Rashi. The father of Rashi has slain him and has hidden his body. Lie, lie, what lie is this? So the letter says... Who sent such a letter? I found it at my door. There is no name to it. It is a lie. Nevertheless, I will journey to Kamala where there are people of England who are called police. And I will show them this letter. Kamala, child. I will journey now. I pray you. This minute. And she did. She showed the letter to the police. They looked all around the village for Rashi. One of the more alert of them noticed that the crocodiles in the pit had been dozing for the last two days. Which meant they had eaten a lot. Which made the police drag the ooze. They found a bone. So they arrested Udi for the murder of his son Rashi. The penalty for murder in the village was tearing a person in two. You are listening to crime classics and your host, Thomas Highland. This Friday night hear the death bargain murder case. One of the most thrilling yet routine tracer of lost persons. Under the terms of a strange agreement two beautiful actresses find themselves in the shadow of violent death. It's a puzzler that calls for fast action and deduction by the old investigator, Mr. Keen of CBS radio. Don't miss him Friday night on most of these same stations. And now once again, Thomas Highland and the second act of crime classics and his report to you on Rashi among the crocodiles and the pranks he played. A few words about South Kankan, India in the summer of 1894. The weather was fine and the jute crop was phenomenal. Sir Ramsey Gwendon, a better known as Sir Ramsey of the Loom had just endeared himself to the populace by establishing the first twine and rope factory in the area utilizing all but a small portion of the available jute. True, Sir Ramsey was later vilified and his factory is torn down by hand by enraged natives and nevertheless, he is down in history as one of India's first prime users of jute. Now, of the town, Mahadwat is, as we know, a rather insignificant part of the province. And in the summer, it is apt to run against the grain, especially the grains of Englishmen who are not much used to the brutal heat and swelter. So it came to pass that the Englishmen who happened to be in town at the time who was a policeman is an Englishman who should be admired. His name Roger Sharman, a man of infinite patience. Go on.  I did not. Well, go on. I loved my son. He was my strong right hand and my boon. A moment. My dear. Yes, sir? What is it that you tell me that you have been brutal about in the bazaar? A child? Ask anyone. I ask you.  Saad, go on. Do you know of this girl? No. No. What about her? She walks slow and smiles with ease. Go on. She is not to be trusted. She speaks lies. Oh, good fellow. How do you explain this boon? Well, pardon Saad. This boon. How do you explain it, the one we found in the crocodile pit? Saad? Yes, um, child. The old man cannot explain the boon, for it is the bone of Rashi, of his shoulder.  I swear it. Is it not true that you argued true and that you wished him dead in the fit of... Is it true? Dear man, I'm afraid you're under arrest. When would you tear him in two? Child. Child, listen to me. Yes? No longer the law of the jungle, but the civilized law. Udi Matabar will be tried and justice will prevail. Justice will prevail. This means dead? If he is guilty. I am not guilty. Dear fellow, you say that so often. What are you trying to hide, dear fellow? History is full of coincidences, not the least of which the fact that the Sikh Padwar was at this very moment in the village studying fossils. Amazing, you say. Nevertheless, a fact. Sikh Padwar but lately returned from postgraduate study at Cambridge was hunting bone shards and artifacts at the old formations outside of the village. And it was to him Inspector Roger Sharman came. I hope it won't be too much trouble, old boy. From this? Yes. I've heard it's done to reconstruct the figure of the man from the bone section. Yes, yes it is. However, what are you trying to prove? Dear fellow, should the figure you construct be five and a half feet in height, a wide construction and neck a bit longish, I'm told, then we shall have proof that a young man named Rashi has been chewed by the crocodiles. Yes, yes. I'll do my best. Well said, old boy. Well said. And two days later, Roger sent a runner to Padwar asking for a progress report. Tell the sub I haven't yet begun to work on his project. And a week later? Some progress. Tell the sub to give me a fortnight. And in a fortnight? Tell the sub I'm sorry I was interrupted, my sister came of age and there was a celebration. And a week after that? Tell the sub he's welcome to come to see the reconstruction. Tell him I suggest he bring along the chap and the cures of the deed. Which the runner did? Good. Very good. Excellent. Thank you. Believe. This way, gentlemen. It is not my son, it will not be my son. But if it is my son, I did not do it. I swear it. Will you keep saying that, old chap? There.  Of course it is not, it's a water buffalo. Oh, I say. Then a joint of water buffalo was thrown to the crocodiles and not rashi. I would say so. Then I am free. Hold on, old boy. Only a part of your case against you has been destroyed. Your stand is still missing and we don't know what you've done with him.  It's the law. Come along. Padra. Yes. Thank you. Thank you very much. In the north, dear Kamala, towards Scotland when the summer comes in gently, the night such as this. And are you very rich, Inspector? Please, child, call me Roger. Are you very rich, Roger? Rich? Yes. How do you mean, child? Money. Child, you must listen to me. To what? The letter. Letter? That you received that said Woody murdered his father. He did. That said he threw his son into the pit with the crocodiles. He did. And the bone? It is the bone of a water buffalo, child. How could you know? But you knew. How could you know? How wise you must be. And Rashi is alive. How very wise you must be. Is he alive? Come. I know a place nearby. Kamala, come. No. Come. Why?  If Rashi is alive. If Rashi is alive. If Rashi is alive. Find out if he is alive. Go. No. Roger Sherman was a conscientious constable.  None of these distracting elements could keep him from his appointed tasks. His next move was obvious. Armed with the full description of the lad, he traveled downriver to the town of Gumbau. And there made inquiry. Rashi of the village Mahadwat. Therefore, a stranger to this village. And the answer was no. About this high, given to wearing beggars' clothes. And the answer was a shrug. So, a journey to Maharashtra and the enquiries. No. And the shrug. And to Puna. Puna of the fabulous temple of Shiva. And there was a beggar in front of it. Of the village Mahadwat. Exactly. And of this height. Precisely. And young. Yes. And nose not too prominent, nor yet too small. Yes. And dressed in rags beyond belief. Good. Very good. And his name. Rashi. Of the village Mahadwat. Exactly. And of this height. Oh yes, I understand, old boy. Only sporting. A week ago, Rashi of Mahadwat went to Shadu. To the festival of Vishnu. I say, old boy, isn't your name Rashi? Aren't you from Mahadwat? Aren't you? I say, don't try to run. Oh, very well. No. Don't tussle. No, it's useless, you know. You're caught.  Now, come along. I therefore present to the crown this thesis. That Udi Mataba strangle his son until he was dead. Then in the still of the night he did... I did not. I did not. He did dispose of the body of his son Rashi. I asked the court to look at the accused. Where in the court's memory has he seen such evil in a face? Such depravity. I am a good man. I have never harmed evil. A face eaten by lust and avarice. His tongue tells the lie of serpents. And his eyes mirror the wantonness of... No, no. This is my face. But I'm old. So, in summation, I ask that this symbol of wickedness incarnate be condemned to the gallows and... Hey, let us through. I say, let us through, won't you? Hey, hey. What disturbance? I am sorry to spoil the show, old boy. What is this? Well, it's been no murder, old boy. This bundle of rags is... Rashi. My son. Here is I, father. Ah, you see? What a show. Rashi. Rashi. They would hang you. No. I knew you would come back. You knew? Yes. Because you are my son. Father. Yes. Once I was not your son. Now I am. Did you hear? Did you hear? Father. Yes. Son. It is written, when the moon is Ganges plucked, Vishnu looks with labor on a son who does not stray. Well said, old boy. Bully. And arm in arm they went home. Father and son. And the father was more generous with his wealth. And the son more generous with his love. And the girl Kamala, why Rashi married her. And they had a lot of trouble with their children. And the Ganges flowed down to the sea. In just a moment, Thomas Highland will tell you about next week's crime classic. Rashi Among the Crocodiles, tonight's crime classic, was adapted from the original court reports and newspaper accounts by Morton Fine and David Friedkin. The music was composed and conducted by Bernard Herman. And the program is produced and directed by Elliot Lewis. Thomas Highland is portrayed on radio by Lou Merrill. In tonight's story, Jack Edwards was heard as Rashi, Jane Webb as Kamala, Edgar Berrier as Udi, and Van Rite as Raju. featured in the cast were William Conrad, Jack Krushan, and Eric Snowden, Bob LeMond speaking. And here again is Thomas Highland. Next week, the caribies in the year 1704, when a girl could get a wedding present that meant something like an island, even if it hurt her husband's career. My report to you will be on Blackbeard's 14th wife. Why? She was no good for him. Thank you. Good night. CBS, CBS Radio will follow you wherever you may go. If you want the very best do nothing and be our guest. Come, CBS, CBS, CBS Radio. Final Barrymore's Radio Hall of Fame is great Sunday night drama on the CBS Radio Network.