Welcome to the map bet podcast woke up this way. He's got a lot of cool stuff He's gonna show you today the latest news industry topics and business tips for all hair stylists and salon owners It's time to flip the script grab your position scissors barricades a swivel twist razors Let's cut a bar of quick shag picks a cup with a little bit of flavor check out the live classes product reviews Let's rock on don't forget to check out pre salon education It's gonna be a great So super pump for today's show I can't wait to have all of you guys log in and we're gonna learn and learn and learn learn and learn and learn Oopsy it's been I've already done an interview this morning. So back on live very excited for today's show Make sure you're doing what I'm asking share this show Hit that share button right now so we can get as many people on here as possible We're gonna change things up a little bit today What we're gonna be doing a little bit different is I got a focus for today's show. I'm gonna teach you guys New way of cutting a bob using a razor, but then detailing with a scissor So this one's got a little bit more of a focus, but what I want you guys to know is That you can still Here it is you can still text in you can still request in the chat. What do you want to see what do you want to see next? I can't even talk today. It's beautiful and sunny. It's a beautiful day, but I cannot talk my tongue is getting in the way What's up guys, what's up Amanda Ashley Chanel Lynn Shane some new some new names some old names Excited to see all of you guys So you can text in you can chat. Let me know. What do you want to see on a future show coming up? I'm taking requests and that's kind of what this show is all about. It's what it's been about But in the past what I've done is Kind of shared a bunch of videos some that I didn't create some that I did create The evolution of this show and where I think it's gonna go is that I put together a specific This is a brand new video for you guys Of a technique. I'm gonna do a live voiceover for the technique So it's just gonna be basically a live class teaching you how to do this You can ask me questions in the chat as well. I can answer them live.  I want to see how today goes with this I feel like we're gonna have a lot more people on here and It's just gonna have a little bit more of an intimate feel and then you request Let me know what you want to see tomorrow And if I don't have a video about it I'm gonna create it today and we'll play it tomorrow and we'll and we'll do the same thing So it's gonna become a request show, but it's not gonna be instant request It's gonna be I'm taking requests you can text me anytime you want that phone numbers open 24 hours a day And then you know we can keep learning that way so Again, make sure that you share the show and we're gonna get started. So Your favorite color must be black Michelle It's not that it's my favorite color. It just hides every insecurity that I have So, yes, it is my favorite color Let's see hairdressing welcome. Good to see you. I know some of you guys. It's not the morning You're not waking up with this, but you are Going to bed whatever it is Good to see all of you guys. All right So again, make sure you share the show today. What we're gonna focus on is cutting this. It's actually this Bob right here It is an a-line Bob and what we do is I cut it with a razor first Which allows me to have speed through the technique, which I really like then As I get through it, then I do all my hard lines and detail work In the dry cut so it really works out well because it's fast But then also efficient and it has those hard lines that everybody likes So what I wanted to do is create a technique for you guys. It's very salon friendly It's something that you can use no matter what and in a quick world in a quick time period and Also, a lot of people ask me because some salons aren't able to blow dry right now some that are opening up Blow dry is not an option Which is a unique situation. So being able to cut a Bob with a Razor is going to be your best bet because you don't have to do as much detail work in the dry cut So let me pull up the video. I Also want to get started actually let me do this Create something real quick Because I want to be able to pop up on the screen with you guys as we are doing this video So let me here do this So let me know if you guys have any questions. We already hit a hundred comments. You guys are killing it Awesome, you guys are the best All right education there and then let me throw me up of that Okay All right, we got it camera one and look how fast that happens so fast All right, so here I am in the corner. So now what we're gonna do is I'm gonna play this video We're gonna start off. I'm gonna go through the whole technique with you guys step by step And go through it if you have questions, I can see you guys in the chat the whole time So let me know if you have any questions as we go So here it is. So we're gonna start off the technique parting the hair on the left-hand side So if you guys have a Client that parts in the middle you can part it in the middle that's not really gonna affect the cut too much And then as I go through and I section off the haircut. I'm sectioning right at that division point So we talk about the division line notice right Along the hairline right behind the ear how that line basically points straight down to the edge of the hairline Which is basically separating the densities So we have our thick density in the back and we have our smaller density or lower density in the front So I'm gonna go through and I'm gonna braid that section away We've talked about this before in past in the past videos Braiding for me is just it's a great way to really tightly section something away It looks nice saves you on clips if you don't have a lot of clips and it's just a good technique to do So now I'm gonna break apart the heavy side So what we're gonna do is I'm gonna section off the top And we'll cut that later and then right at that parietal ridge area is where I'm gonna section the other side of the heavy side What I mean by heavy side and weak side is that one side's gonna have more density and one side's gonna have less The part side is gonna be your weak side and then where all the hair is going to is gonna be your heavy side heavy Dense it let's see Shane's asking advice and suggestions for someone like me in a financial situation to further my Cosmetology education. I think this is how you further your education depending on where you live Shane But he is obviously there's government grants and stuff for cosmetology school if you live in the US If you live somewhere else and you don't need a license then this kind of thing and taking hands-on classes is the best so Going through occipital bone so straight down vertical in the back and then occipital bone to behind the ear a slight diagonal forward section Now I'm using the carving comb. This has a hundred percent cutting side and a fifty percent cutting side So we're gonna start off using the hundred percent cutting I take a section as thick as the carving comb and I just start to work at about a 45 degree angle with the razor and About a one inch pathway stroke back and forth with the razor Working through the section So just like that What that does is the more you move the razor up and down the more layered effect you get so if I do a slight Kind of one inch pass back and forth I get almost like a 45 degree angle effect I'm also using the head shape to help create that so you can see Real quick we take a whole four inch section and we create that 45 degree Bob that we learn in school Taking all those sections. So this is definitely a faster way to go about getting that end result And it's also using the razor you get a very soft edge. So now notice my elevation goes up So as I'm working through this section I elevate the hair a little bit higher as the head starts to peel away as the head starts to curve away My elevation goes up if I kept my elevation low it would just give me a heavier end result So it depends on what you're looking for In your haircut. All right, cool. So Again elevation up working through now If you have somebody with really thick hair and you're using a razor as you get to this part It can really start to build up the weight So my recommendation would be to go through maybe use the 50% cutting side first Then go through and cut your line or if you're not using a carving comb You're using a basic razor you could go through and just kind of notch it like take the razor and Just go in between the section a little bit to take out some weight and then work your line through it as well You can see elevation Little bit heavier stroke with the razor. That's just gonna lighten the shape a little bit more The razor is great to do a shag. It's totally true Elaine Where do you get the razor comb so you can get this comb? This is the Donald Scott carving comb you can get it on our website of freesaloneducation.com. It's 39 bucks You get that you can get extra blades for it It works really well But you can also use if you guys don't have the cash flow to buy a razor right now You can use the razor that you currently have to create the same thing So we go through I comb the hair down So now we're working on that weak side. So this is the parting side I section horizontally just to break the section in half so I'm not working with as much hair I comb that up and out Flip it away and then what I love about using a razor and you guys can probably attest to this I just pause it real quick as I'm going through and cutting that section The cool thing about it is that I can really draw in what I want to create So I'm going through this section and literally just working the razor up and down And if I want an a-line bob, then I just work the razor a little bit lower as I cut if I want a straight across Balanced bob, then I just go through and I do it a line straight across horizontally and follow that parting So you really have the versatility when you're using a tool like this to decide what you want length wise All right cool Let's see. So now I let the rest of that section down and here's where a little trick is going to come in So I work The razor cut that line first and now what you're going to see is I'm going to comb everything back towards me So I see that weight in there. It's a little bit heavy So now I take the 50% cutting side of the carving comb and I just slide it through the edges And that's going to lighten it up a little bit more So that's kind of a cool trick that you can do with the carving comb Matt at times I struggle behind the ear with holes in this cut. How can I ensure that I don't? make this I'm not sure what that that word is, but how can I ensure that I don't get a hole is basically what you're saying So here's the thing as we're working through. Let me pop over here So on a bob, right? This is where we usually get the hole is underneath here when I cut a bob, right, I'm focusing on the The exterior the layering right the the pattern the balance in it and then I'm actually cutting all of this was a lot Long, this was all about a half an inch longer So once I get done with the whole bob shape and creating all of that then I go through and I cut my line Which is what you're gonna see at the end of this video. So as we're going through it You'll see that how long that is compared to what this is here And you're gonna see that we're gonna go through with our scissor and detail it So that's kind of the biggest trick in this whole video. So let me get back playing here So I go through I can do a little pinch cutting if I missed any pieces or any pieces look weird It's another beauty of the razor just going through and cutting Continuing up the side. I'm just bringing everything down and cutting it the same exact way As I work on this heavy side Matt can't wait to get that comb It's it's really awesome guys like I'm telling you it's one of my favorite tools and it comes in so this is the wide tooth Version, which I like using the wide teeth But there's also a fine tooth version as well In the beauty of that of the carving comb is that you could also hold your scissor while you have it in your hand So you have three tools in one you you basically can comb You can cut with your scissor and then you can grab the razor side and you can cut with a razor So you can work all three tools at the same time pretty cool All right, Maria that's cool to that's cool to here All right So you guys can see obviously there's gonna be a little bit longer in the very front because that was Overdirected further than the other side. We'll finish that was we'll even everything out in the end Part when we detail it dry. So we're gonna start with the flat wrap technique working the hair over top of the head Wrapping it around the head and what this does is it forms the hair to the shape of the head as we work through it So I just using my ergo diamond head paddle brush. It's a mini paddle brush. I love And I just wrap the hair around and then I do a little bit of a leafing technique to pull a little bit of extra tension in the Hair and bring it down that way now. We'll smooth it out. This is a palmatial neuro smoothing iron Like that iron Let's see. So now Let me pause here. So you can see look at all of the Like the lengths the different lengths that happen and this could happen really with cutting it with a scissor or a razor It's a little more free-looking. It's a little more jagged with a razor So now what I'm doing is I go through with the tip of the scissor and I just work my line and I start using that Just the tip because if you use the whole wide part of the scissor What happens is when you go in and cut it pushes hair away Especially when it's dry. So I just use the tip of the blade And I just start working that line all the way around the haircut and what that does is gives me that really defined sharp line But what I love is that I cut this haircut using a razor. So I all my shape interior wise And the actual shape of the haircut is nice and light because it's like I went through and point cut the whole thing So Odette saying my ends always flick up no matter how much weight I removed from the bottom So this is one thing that a lot of that's in the blow-dry technique. So a lot of clients Will complain and I'll actually I'm gonna what I'm gonna do at the end What I want you guys to do right now is as you have a question Just post Q before your question Just write the letter Q and then the question so that at the very end I can easily find all of your questions and I'll just go through and rapid answer them all As we go so that I can keep focusing on the technique and then I can focus on your questions at the end We'll really get to the bottom of everything and I'll even reference back if I have to all right So Q and then your question and if you've already posted the question Just post it again if I haven't answered it with a Q and then I'll easily be able to see it right here on the video So All right, so now we're gonna do a little bit of slide cutting through Slide cutting removes weight creates almost a layered effect But it's more seamless because you're not really cutting the entire section the entire line And then I go through and I fine-tune it so You could see now I'm going a little more flat with the blade So once I get the overall shape cut when you go flat with the blade And you're only dusting the edges you get a nice finer line around the edge This took me probably about 15 minutes to go through maybe even 20 minutes to go through and really detail out the line Which is where a lot of people don't show that full part in the technique You know, it's hard it gets a little bit boring for you guys to watch it But I want you guys to know honestly that it takes a lot of time and one of the tricks that I do is I'll take some hairspray a light hold hairspray and comb that and brush the hair down With that hairspray, so it keeps it held just a little bit better and then I go through and cut that fine line So you can see this is the end result beautiful look right happened very quick very easy With little effort and that's kind of where I want, you know any technique that I do for you guys is When you think about in salon application And having a client having your next client waiting you want to be able to execute quickly So that razor really allowed me to not have to go through and do a lot of detail work Throughout the rest of the haircut, but it did allow me to speed through and quickly get the shape and then go through and spend my time detailing the edge so Let's see All right, so we got some questions coming in. Thank you guys. That's awesome So what I want to do is I'm gonna put the questions up here. We can see it Let me know just keep posting your questions. Let's see Pull this up here. It's speed through So what you guys think of the technique did you like it? It's a brand new video. It will be out on our app as well, which I want to Tell you guys about in one second Pulling your questions up so I can post them up on the thing as I answer them for you guys All right, here we go Thanks for hanging in. All right, so they're all coming up. All right So now I'm seeing it. All right. So Carrie first question here. There we go Add Carrie's question. All right, Carrie So would this cut work on fine and or thin hair? So Carrie This technique is great for fine and thin hair, but you would change up a couple things, right? So let's talk about fine hair for a second And the different ways that we would cut it would be cut fine hair with the razor. Yes What I do at the same no so as I go through I Might give a little bit less so that movement of that back and forth with the razor that creates Less density or more right so the more back and forth movement I have with the razor the more up and down I go the less are the The more weight I take out so if she has fine hair and I'm working with fine hair And I want to create that big shape then it's going to be a lot harder because her hair is going to want to collapse No matter what so when I go in with a razor, I'll go much finer With the back and forth movement so little movements and more elevation right so I would get my lightness from the elevation and my movement would stay small so That's the biggest thing that I would change up and then when you go through to cut the fine edge It's going to be even easier on fine thin hair. You don't have to worry about it Let's see. Here's another one. So Ruben. Do you have that kind of scissor for left-handed people? Yeah, for sure So if you go to freesaloneducation.com we have a whole selection of Mizutani scissors that are for left-handed people So you can go on there and check it out the specific scissor that I'm using Is my scissor edition you could custom order that But I don't know if we can get that in lefty But they do have We have a beautiful selection of scissors that you could get in this black finish By ordering it on our website.  So a cosh. What is the difference between forward graduation haircut and feather cut? So Well forward graduation is for me like I haven't heard that term really but What I would assume a forward graduation is and you guys can let me know in the comments if I'm wrong But a forward graduation would be triangular graduation I would think which means that the weight is being shifted to the front So a lot of times like like when you look at a haircut and this one see how the weight Transfers and gets long heavier towards the front or the weight line goes heavier So it starts high and works its way down That to me is a triangular shape Which means that I brought everything back to the back and I've cut it and then it falls heavier to the front That's how I learned it. So like basically if you take haircutting and You've got your vertical weight, which is graduation or layering, right? So anything that's 90 degrees and above is layering anything below 90 degrees is graduation so from 0 to 90 graduation 90 and up is Layering now. So that's your vertical and when you look horizontally. How does your weight move? Does it move? Light to heavy in the front That would be triangular. Does it follow the head shape? That would be round So it follows around the round of the head horizontally, right? Or is it square does it follow a straight line on the sides and a straight line in the back? So that's that's the two basic things that I learned So is it a graduated haircut and is it triangular does it fall forward? Is it a graduated haircut and is it round does it follow the head shape? Those are the kind of things that we think about when we talk about cutting hair and Creating shapes and then the last thing you would think about is the length of the cut How long do you want it to be? So those three things kind of make up every haircut and you can really look at any haircut That's on somebody Like this one right so this one has layers and how are the layers? Do they come straight across? This is a round layered haircut. So basically the weight Follows the round of the head if it was square it would be a little heavy in the corners of the cut But because it's round it's not it's nice and light if you've got a triangular cut Then you can see that the weight starts Lighter and higher and goes heavier towards the front So that's kind of how you break down the shapes Of cuts in the most basic form. I would agree he means triangular graduation Thanks, Johnny. Good to see you in the chat, love um All right Can somebody tell me Let just Can somebody translate this? I believe I know what it says, but I don't want to mess it up So just somebody translate for me in the in the chat so that I can answer No, else question. That'd be great. Just so that I know exactly what it says All right Let's do All right, so this is a good one. Oh debt Whoops not that one. Oh debt right here My ends always flick up no matter how much weight I remove at the bottom. So this is a great question a great challenge so um If you remove weight a lot of times that makes the ends flick up Especially if you don't spend time blow drying the shape, right? So you got to think about If I start removing weight from the sides and where's it going? So anytime you lift hair and cut it, where does the weight fall? So I always think of like if I take Let's pretend this is a string, right? This is going to get real technical So If I've got this string right and I take it and I move it over here And I cut What happens when I let go Everything falls this way right because gravity takes it and pulls it back one way if I bring it over here I bring it closer to you guys. I let it go. It springs back the other way. So To answer your question If you do this stuff vertically if I pull hair up and I remove weight and I layer it and I let it go Where's the weight go? I cut it up here. So where's it going to go? It's going to fall and it's going to push down And what happens when it pushes down is you got all these layers that go here and then it kicks the ends out so Key thing for me is to remove weight from a shape completely I go through and when you do that and then bring that length up just a little extra So it it keeps it from Kind of having that flip for me that that tends to work Also, you got to realize that blow drying is going to play one of the most key roles in this whole thing So doing a flat wrap technique in your blow dry like we did in the video That can be very helpful with that flip So a lot of times a challenge comes from the way you style it not so much from the haircut But you know they both can play a little bit of a role. So make sure Odette when you get a cut or you cut somebody's hair Or whatever the the case may be Is you get a cut that Maybe isn't quite as layered. Maybe it's layered up top a little bit But then it gets a little bit heavier towards the bottom so that You keep that weight and you don't have it thinned out and flipping out in the bottom People remove more weight because they think that'll solve the problem when sometimes having weight is actually More works better. So in the case of callix and in the case of all that Okay, let's see. Here's another question Maria This is cool. I love the questions guys. Good job. Um So maria saying what other cuts could you Uh make with a razor so You can do every single cut with a razor Uh That's that's kind of the the fun part about it Is that and a lot of people are so scared of a razor and I want people to understand that you don't need to be scared of a razor You need to be scared of a dull razor, right? So make sure that you use a brand new blade every time. Um Just be smart about it And then when you go, let's say you're going to do a layered cut. Um, like I said, it's all about the movement of the razor So how much in and out movement are you doing? Uh to create that layering elevation plays a key role So you're still going to be elevating. Um, if you want to create shapes, it's going to be the same as we just talked about So if I want to create a triangular shape, I'm going to over direct everything back. Um, if I want to create a round shape I'm going to follow the round of the head. So you're doing the same thing just with a razor Um Let me see if I got some uh Yeah, do uh some facebook questions. All right. Thank you. Maria. Hope that answers your question I'll go back to youtube questions in a sec. So, uh Jenny saying What exactly causes the dog ear result in a bob haircut? So this is a really good and I have a good answer for this um So what causes the dog ear effect on a bob haircut and it's basically uh weight, right? So As we pass weight a lot of times especially with a triangular bob or an a-line bob What we learned is that we over direct everything to the back And cut it and then when we release it like I said you release it and it swings, right? So what happens is People over direct too much. They bring everything too much back and then it has to go around too many corners So this is something I learned and I can't remember the exact person Said it and I think I heard a couple people say it, but it's a really good analogy Um, and it's basically like let's say I'm a professional pitcher In uh baseball, right and I'm really good at throwing a baseball. So I take a baseball in um In a room, right? I'm in this room. Uh, there's a doorway right back there, right? So I take this baseball and I throw it now I can throw it and I can get the ball because I'm talented to curve a little bit But as it curves I can curve it around that wall but Eventually it's just going to fall to the ground right because gravity is going to grab the ball and pull it So the same thing happens with haircutting If I take that same baseball and I throw it and I curve it around that wall Can I get it to curve another wall and I get it to go out the other room? Probably not it's too many curves. So what happens in a head shape? And what you can kind of imagine this is the back of the head So in the center back if I pull all the hair here and I cut it Which is what we kind of tend to do so we take hair more and more hair And we keep pulling it back and cutting it which does give us that longer effect But what happens is you've got this piece of hair. So then it rounds this corner Gets to this corner and then around this corner, right? So it's just too much weight and when it gets over to this point Then you get that heaviness and that massive over direction because the head is a curve All right, so I'm getting you guys back on your live. I want to answer a few more questions and we'll close out the show Um, yes, we crashed Lynn. Of course we crashed. Um, can everybody just uh Never buy live stream software. That would be great.  So obviously that is not the problem Uh, they're just making terrible stuff I'm not upset. All right, so, uh Let's do a few more questions and then I'm gonna close out the show Uh, and then obviously try to figure out things again for tomorrow's show Uh, I'm gonna switch software. I believe uh, so that should be interesting. So make sure you tune in Uh, all right. So let's see Um, all right. So shena I'm afraid of burning someone with the flat iron blow dry how to avoid that so, I mean This is one thing that I think Holds a lot of people back and it's just being scared of things. Um, for me like Even when you look at this show like I could be scared that this is gonna crash and things aren't gonna work out Like things always work out So don't worry don't you can't be scared of burning people unless you have a problem with burning people and then I would say Maybe you should do a job that's safer and doesn't involve other human beings. But for a serious answer like He key thing is When I section to iron like you shouldn't really burn people with a blow dryer and you could turn down the heat a little bit You don't have to have massive heat on a blow dryer to blow dry people But obviously a flat iron is really hot. So if you're nervous about that, um, take small sections section the hair away um Take very clean sections work on that and then hold the hair nice and tighten your fingers Just like you would cut it and then don't go quite to the scalp And then I don't think you'll have any issues, uh with burning people I've personally maybe burned one person in my whole career of 16 years with a flat iron And I don't even remember who it was or when it happened. So, uh, I just don't want to say it's never happened But it's not like, uh, it didn't ruin my career or anything. So just make sure that you're careful. Um, you know and just keep everything clean um When hair tattooing under A disconnection cut have any tips or other tools to use I use edges and straight blade. Is there any schooling for this? Or is it trial and error stuff? Um, I don't know much about it. Andrea. So I don't want to, uh I don't want to pretend like I I have the answers. Johnny Livingston who was in the chat earlier Uh, I don't think he's in here now, but um, he was watching the show He's a super talented guy at it and I would hit him up on instagram. So jcash underscore the hair tech Just ask him, uh and and look for people that Inspire you um that do that kind of thing and just ask them because I I don't do it So I don't I couldn't give you really good recommendations and I would hate to just lie So, um, akash, uh Difference between cutting at 90 degree angle versus cutting while 90 degree over direct Uh, what is the difference between the two techniques? This is such a good question. Um, so akash, so difference Those of you guys that didn't understand the question, um I've never heard it put this way. It's really good. So The difference between cutting 90 degrees in elevation, uh, or 90 degrees in over direction So there is no difference and if the moment that you guys can realize that is the moment that hair cutting might click even more for you guys because When you whenever you lift it So if I lift it if I pull it horizontally more than 90 degrees off the head shape, what's it going to do? It's going to remove weight from this way, but it's going to push weight to the other way Right, it might not be as extreme So if you think about If you take a piece if you take a section of hair and you pull it up 90 and back 90 What are you going to get you're going to get light from wherever you cut it It's going to remove weight from wherever you cut it and push weight to the complete opposite direction, right? so That's kind of how cutting hair cutting works and it's like really fun to really try to break that down and understand it but literally It's the same thing if I lift it to 90 and or pull it back to 90 I'm taking weight from wherever I pull it to and wherever I cut it I'm removing it from there and then it's getting heavier wherever It's going to fall right? So that's the key Um All right, cool. I think I got a lot of your questions. I think I think that was pretty much it If you guys have any other questions just post cue in the chat and then put your question after it So I can easily see it on the screen. Um, but other than that. I hope you guys enjoyed the video I know that it was uh, this was a little bit different of a show Um, but did you guys like it? Do you like this style? I was a little more just teaching a class But I I feel like it makes the most sense as the show moves forward to really just focus on a subject And then I can promote it that way and you guys can find it easier So it'll be like oh this one's all about haircutting and an a-line bob and then tomorrow will be about whatever So what do you guys want to see tomorrow? Uh, let me know That and I'll start putting together that show and we'll see what see what we can come up with and in this way I'm also teaching a lesson every day as well And I feel like we're gonna grow more In that and also have guests on just like I did last week We had a lot of fun having different people on sharing their videos So as I find more cool people to have on the show and uh to show to you guys We'll play their um their videos and their education and we'll interview them and it'll be it just uh Should be a lot of fun. So Flower a-line bob triangular graduation bob We did that today I'm just kidding. Uh, we did that today. Um And you might be popping on here because we re went on live and you're like, where's the video? Where's the learning? But we already did it So just go back on our youtube channel in a little bit and you'll be able to find it Also go to the fse now app Uh, which is available right now. Uh, the update is out guys. I don't know if you saw it There's some bugs. We're working on it. Um, we just submitted an update again But um the new look and everything is out and the the stylist the stylist messaging is out and the text in the community is out so um I like this new format cool. Actually, I'm glad you like it Uh, the the new app look is so cool guys. So if you guys have downloaded it, uh, check it out If you have the app downloaded and you're not seeing a new format Just look for the update because it's out. Um, and you guys can see it Here's the app that i'm talking about fse now all of these videos. Um, and a new version of this cut I'm going to do a voice over for it. Put it on fsa now so you guys can see it In more of an educational form and not this live show, uh, but you can watch both on the app But go check out fse now. Here it is Here we go So that is the app guys. So go download it fse now. It's on google Android and iphone Lynn love the app awesome color correction. That's a good call. I like that. Uh, noelle Says I did send you my question again. I don't think I saw it Let's see if I can scroll up. There it is Why is it called an a-line bob haircut found you noelle? Um, why is it called an a-line bob haircut? I believe because um, it usually starts Starts small and gets bigger. So for me kind of creates that v looking that v shape. I would assume that's why um No one's ever told me that answer but uh, when you look at the shape that it creates it goes Short to long So it's kind of an a Line Um, Barbara says I bought the razor tried changing the blade and I snapped off the handle Call the company and they never sent me a new one. So Uh, Barbara, I'm not sure about that. But if you email me, um, I'll talk to my wife Christina Obviously, we just handle everything together. Um Not sure when you bought it, but if you want to email me your receipt that you bought it, um, and all of that I can reach out to donald scott and see if they'll Swap it out replace it I don't know why they wouldn't but We can see like we can do our best. So email matt at freesaloneducation.com Send me a picture of your razor and your uh purchase proof of purchase and um, we'll see what we can do And did you buy it from us? I'm not sure but even if you didn't I can help reach out to uh To donald scott. All right Let's see. I think that was it Melissa says I just bought the razor. You're the best Uh brandy huge fan Thank you so much Can't wait to see what you do today. So brandy. Here's the deal. You're coming on late. I already did it Um, but I'm glad that you're here. Uh, just know that we're on here live every day at 12 p.m Uh eastern time. So you can come on you can watch Uh, so I don't want you to miss it ever again So make sure you tag those notifications hit the notifications. So when I go live you get the alert. Uh, so you can be there brandy Yes, awesome. All right Lauer emo cuts We can probably do some emo cuts too Uh difference between cutting at 90 degree angle versus cutting while 90 degree overdrive. Gosh. I already answered that um All right, cool. All right guys. I think that's it. Uh I got most of your questions This show wasn't as long as it has been in the past. Um, but I think you guys like the new format I hope you do. Uh, we'll see how it goes this week. Obviously I'm I'm always up for adjusting and making things better. Uh, ton of you guys on today I really appreciate all of you. Uh, make sure you share the show if you can and uh, And I can't wait to see you tomorrow. So thank you guys What do we say at the end of the day the end of the show, uh, it's gonna be a great day It's gonna be a great day. Enjoy your day outside And we'll see you guys tomorrow I woke up this way It's gonna be a great day Thanks guys


Thank you so much for having me. This is my first time in London, and I'm really excited. And I think these community events, they mean so much. So I'm very appreciative to be here, especially giving this talk. Can everyone hear me? Yeah, this is by far my favorite talk. So I'm really excited. And I hope that you like it. Secret histories of women and non-binary people in Python. So we've all heard of Ada Lovelace. Everyone raise your hand if you've heard of Ada Lovelace. Yeah, so we all know about the few very famous women in the history of computer science. But actually, the origins of computer science and much of the technology we're using today, it wasn't all made by men. So you can look back even way back when computers, before we knew it, computers were people who did calculations. And those original computations were being done by women. They were known simply as Pickering's harem in this case, or the Harvard computers, because they weren't given enough respect to be given gone by their real names. So they've done a lot. This group of women did a lot to get astronomy off the ground. But at the time, their contributions weren't recognized. That's one of the reasons why I want to do this talk and why I want, as you'll see as we get into it, why I want to talk about the women and non-binary people who are contributing in Python, because if we don't talk about them, they just end up being nameless or grouped as the Harvard computers. And we should remember their names and remember their contributions, not just for diversity's sake, but also for scientists, for accuracy and to preserve things in an appropriate way. So I kind of love this one, because one of my friends is on it, so I get to troll him a little bit about not being as important as he thinks he is. Women were actually essential to the development of programming, computing, and the internet itself. But my claim is that they weren't the loudest about it. And so they have been all but erased from our narrative of who gets to lay claim to technology and its culture. And you see here in this Wired article from the 90s, who's the e-gang? The e-gang are white men who are founding companies. But those companies were, the contributions made there were done also by women. And what about the companies and the contributions that didn't make it to these magazine covers? This is my very favorite thing. I love this because everything about it is so wrong at the same time that it's so credible. This is from the New York Times. And prior to Trump in America, this was considered to be like a reputable publication. Perhaps many of you still think it is. I think there are some fine reporters at the New York Times I subscribe. And so I have high expectations from them. And that author, David Streitfield, that's a Pulitzer Prize winner. I also have high expectations for the Pulitzer Prize. Says David, men invented the internet and not just any men, men with pocket protectors, men who idolized Mr. Spock and cried when Steve Jobs died. Nerds, geeks, give them their due without men. We would never know what our friends were doing five minutes ago. The internet, he says, was made by men. And the men who have been giving credit for the internet, Tim Berners-Lee, are very happy to receive all of the credit. I'm gonna skip past this. Accurate attribution matters. And so that's why we need to do this now. Nicole Pello wrote the first browser that could run on any device. I consider that to be a significant achievement, the first browser that could run on any device. That's a big step forward, right? She doesn't even get her own photo in Wikipedia. The Wikipedia article about her is contested. It's contested whether or not she's notable because Tim Berners-Lee has received credit for the body of work that happened under his mentorship, but there were a lot of people who did that work. And even though they had someone who was guiding them, they still deserve credit for the work that they did and for their own ingenuity and their own ideas which surely they brought to the table. And so the Wikipedia article for Nicole really is mostly an article, a photo of Tim Berners-Lee. This is the problem. Radio Perlman, don't call me the mother of the internet. She's done so, so much but didn't feel the need to take credit for it. And so in many cases credit just wasn't given. And in other cases, it's just pattern recognition. People didn't really see women as the inventors. But as I said about to discover this, I was surprised to see women made these incredibly important contributions. Judith Estrin invented TCP IP. Sandra Lerner co-designed the first Cisco router. Radio Perlman, don't call me mother of the internet. People do because she did so much. And of course, Nicole Pello. These are just a few. Again, I'm a little salty about this one. Glenda Schroeder is noted for implementing the first command line user interface shell and publishing one of the earliest research papers on electronic mail systems, you know, email. So we can credit her with a lot of that, but I can't find any photos of her. So I just use one of Tim Berners-Lee here. Why not? We're starting to hit a turning point, though, which I think is really awesome, where we're making these corrections. We're digging back into the old histories and we're finally doing really complete biographies and really honoring the contributions made by people who were really hidden before. Elizabeth Smith Friedman, pioneer cryptographer. Now there's a best-selling book by Jason Margone, the woman who smashed codes. So finally, all these years later, she's starting to get her due as a code breaker. She has a very interesting story. Did anyone here see Hidden Figures? I saw it on an airplane. Yeah, really popular movie. Another example of these stories finally being told now. It's weird, right? The history of science is doing some kind of revolution where the documentation that should have happened is happening now. It's heartwarming. Catherine Johnson, the real Catherine Johnson. And as anyone who saw the movie or the trailers knows that they were very, very important in the early days of NASA. Again, more human computers. The ENIAC Programmers Project is now documenting these women with a film and other education, remembering ENIAC and the women who programmed it. The world's first electronic digital computer was programmed by six women through the history of computer science. It's just women everywhere. And so now I wanna start diving into the women of Python. I think we've done a better job than the documentarians of the 1950s in attributing work to our members. But this is a good opportunity for us to acknowledge and cheerfully the people in our community doing this work and take careful notes so they'll be appropriately acknowledged and remembered in the future. Carol Willing is a Python software foundation fellow and former director, a core developer for CPython and Project Jupiter and a research software engineer at Cal Poly San Luis Obispo. She's also geek in residence at Fab Lab San Diego and co-organizes PyLady San Diego. So I spoke to these various contributors and I wanted to get their thoughts and their insights on what was interesting and challenging in Python in 2018. Carol says, personally, I think we have barely scratched the surface of how Project Jupiter will impact education in the coming years. The open standard of the Jupiter messaging protocol allows many different computer languages to be supported. Now, at the same time, allowing others to tally the front end user interface. As for advice, try to be kind, be humble and help others along the way, contribute to the rich ecosystem of Python libraries beyond the core language to build your skills. It's the success of the ecosystem that feeds back into core development and improvement of CPython. I spoke with Olga, a bioinformatics data scientist known for her open source contributions and she's chair of the biology and bioinformatics at PsyPython, PsyPyCon. She says, I'm excited about NumPy and Jupiter deciding to push the scientific community into the future and support only Python 3 and their future releases. There's a lot of awesome things in Python 3 that many scientists are missing out on. And the Python community is warm and welcoming. Fixing documentation is an awesome way to get into an open source project and if you're confused by a particular wording, then probably a lot of other people are too. I love that, by the way. I think when we think of contributing, we think of code, but organizing and contributing words, I think, can also be really useful. We all have something different to contribute. Lynn Root. Lynn Root, I think, is a really interesting and important personality. She's an SRE at Spotify and she was recognized by the Python Software Foundation for her work co-founding PyLadies. And I wrote this down because I thought it was worth noting what the Python Software Foundation had to say about her work. From founding her local PyLadies chapter to volunteering at PyCon to catalyzing other initiatives like the Django Software Foundation, Lynn has been an unwavering advocate for women in the Python community and for the broader Python community itself. This is a highlight from her talk last year, tracing fast and slow, digging into and improving your web services performance from PyCon 2017. If you run microservices, you should be tracing them. It's otherwise very difficult to understand an entire system's performance. Animalistic behavior, resource usage, among other aspects. However, good luck with that. Whether you choose a self-hosted solution or a provided service, documentation is lacking. It's still a young space, but there's a lack of these things. But there is an open spec that can be influenced or used to implement your own if you're so inclined. Again, more encouragement to contribute to documentation. I guess there's a need for that. I also included Lindsey Dragon, who I met at Py Caribbean. Lindsey was doing a lot of talks around accessibility. And Lindsey says, for inclusion of disabled people, a lot of conferences aren't captioning their videos when they post them up on YouTube, let alone live captioning. And a lot of venues aren't wheelchair accessible. And speakers throw around words like crazy. I found that the captioning's really cool because if I days out for a minute, I can also catch back up, so it ends up being really useful for everyone. And what's exciting about Python in 2018, the amazing growth in Africa of Python. And specifically around Django like Django Girls. Africa is very much a place to watch for Python. I've seen that's true. I went looking around Twitter and the internet to see who I might want to include in this talk. And there's so much happening in Africa. And in the next version, I think I really need to include them. Also Eva, I love the inclusivity and the kindness of the community. Every time I attend a local event or go to a PyCon conference, I feel motivated and inspired to continue to serve the community as best I can. And she's Director of Operations for the Python Software Foundation. As for advice, my advice to those getting started in the Python community is to attend events and network. Hey, you're already here. If face-to-face interactions are not your thing, I suggest joining a couple mailing lists or the Python IRC channel, also a great way to meet Pythonistas. I'm actually really introverted, which is why I go on stage. It may not make sense, but I get to tap all of my social stuff in a very intense way, like half an hour. Then I can go hide in a corner. And you can come say hi if you want, and that helps me. So yeah, it's okay to sometimes be a little shy, I think. We're introverted, which is a little different. And Lorena, member of the Board for NumFocus, the umbrella organization that provides fiscal sponsorship for many of the most prominent Python libraries in scientific computing and data scientists. And Lorena says, the challenge we must solve with Python in 2018 is securing the needed support for open source projects that provide foundational infrastructure for national R&D. Money, we need money. And Marietta, I've met Marietta so many times. I'd like to think she's becoming a friend, she's great. She's a Python Core developer, congratulations on that. Co-organizer of Vancouver PyLadies and PyCascades Conference and contributes to Python documentation. I guess that's a recurring theme here. The Python Developers Guide, Python Core Workflow and Python.org. And Marietta said, she was excited about her own tutorial at the PyCon Build a GitHub bot workshop. She's very excited about Python 3.6. And Tanubi's in Python. The truth is, even after many years of programming with Python, I still feel like a newbie and it's okay. You probably won't be good at it right away. Don't give up. The good thing is Python is not just code, it's community. The community can help you participate and contribute. And to women in tech, please, stay. We all need you here. I think so. So let's go back. Ah, I didn't mean to shut them off. That's right. We get a check on time 10 minutes, perfect. So what I wanted to do now was just solicit some contributions from you, the audience, about people who you think should be included in here. And I have three copies of my book. And if you don't want it, you don't have to take it. But I'll give a copy to the first three people who have a contribution. Who was first? Can someone help me with this over there? Yes. Oh, I'm so sorry to clarify, of women or non-binary people making important contributions in Python. Yes. Can you tell me about her? And I got both of you. Can you tell me about her? It's been a very impactful organization for sure. Yeah. And they've made it all around the world. When I was at PyCaribbean, we had a workshop there. Very big. That's amazing. Yes, I read about her yesterday. Time to say a word on what you think is exciting or challenging in Python in 2018. That was the interview question for this. Basically, in empowering both men and women, and certainly, there are a lot of women that are building these as a way to improve their lives as a way to solve their problems. That's the part of it. That's awesome. Yes. OK, excellent. Does anyone else have names they'd like to? Thank you. That's amazing. That's cool. Thank you. And I think we have room for two more. Yes. Either editor, she's American, and I hope that she will be quickly co-developed. I hope so too. From Nigeria, along with Jessica O'Canny from Namibia, Rosé from Zimbabwe, who are two of them are also directors of the Django and Python software foundations. And between the four of them, they've been doing over the last four years an immense amount of work to solve it. That's remarkable. And I will have to reach out to them and get quotes and include them in the next round. Thank you so much for the suggestions. I think it's really important. We have maybe two minutes if anyone has. I guess we can take one question with a question. Then let's give a round of applause for the women and non-binary and trans people who are helping to build this community and for also everyone here for PyLondinium, for the organizers, and for everyone who came and made this possible. And also to Alyssa for a really interesting, to start a really interesting conversation. Thank you.


Daily Tech News show is made possible by its listeners. That's you. Thanks to all of you, including Steve Ayaterola, Jeffrey Zilx, and Tony Glass. Coming up on DTNS, the UN asked countries not to blow up satellites in orbit, seems reasonable. Amazon wants to eliminate barcodes. And do you know what the fastest growing brand was in 2022? Worldwide? It was Meta. What's unpacked there? This is the Daily Tech News for Friday, December 9th, 2022, in Los Angeles. I'm Tom Merritt. In Studio Colorado. I'm Shannon Morse. I'm drawing the top tech stories from Cleveland, I'm Len Peralta. And on the show is producer Roger Cheng. Sarah Lane's off today. I almost wish Roger or I would have gone to New York just so we would have all four major time zones. I would like being in New York. Because usually Amos is here. Amos is still off, so we don't have Alaska. Maybe one of us should go to Hawaii. I don't know. We'll figure that out. I'll go. Okay. But then we wouldn't have the mountain time zone. I'm Keith Confillan. Time for the quick hits. Elton Ring took home Game of the Year at the Game Awards Thursday, but the Game Awards is as much or more about game announcements as it is about game winners. Here are some of the big announcements. Final Fantasy XVI coming to the PS5 on June 22nd. Diablo IV got a release date of June 6th. Star Wars Jedi survivor arrives March 17th. From Software announced that Armored Core 6 Fires of Rubicon is coming to the PlayStation Xbox and Steam sometime next year. And Horizon Forbidden West and Cyberpunk 2077 will both get expansions next year. The US Federal Trade Commission's lawsuit to Halton Metta's proposed acquisition of Within Inc began on Friday. Within is the maker of VR apps like Supernatural. The FTC says that Metta is attempting to dominate the VR fitness market by buying its competitors. Metta told the court it believes the FTC improperly defined the market in underestimated competition coming from companies like Apple, Alphabet, and ByteDance. Yeah, this is the new look at FTC trying to stop people from buying potential competitors. We'll see if they can convince the court to do that. Google added pass keys to Chrome Stable M108. That allows password free logins if a website supports it. There are a few out there that do PayPal, for example. If you're using Chrome on Windows 11, Mac OS, and Android, you can now use pass keys on participating websites. And Google also added pass key syncing support to Android. So you can sync from Android using either Google's own password manager or a third party like Dashlane or one password. Yay, pass keys. Apple and Ericsson reached across licensing agreement on patented cellular standard essential technologies. The Settles lawsuits over 5G patents from October of 2021, a trial on the lawsuits began this week in the Eastern District of Texas. And PlayStation VR2 pre-orders are open for everybody with PlayStation account. They opened last month, but you had to register and then be chosen by Sony to put in an order for the PSVR2. But it appears you can now order the VR2 headset from the PlayStation Direct website and you might even get it within a week or two of the February launch. Let's talk about exploding missiles. The UN General Assembly passed a resolution Thursday asking countries not to conduct direct ascent anti-satellite tests, aka ASATs, if they will result in space debris. You can conduct one, just don't blow anything up, okay? A Russian missile test in November, 2021 where they blew up their own satellite. Nobody's blown up other people's satellites but Russia blew up one of its own satellites and it caused enough debris that the International Space Station staffed partially by Russians, required crew to shelter and docked capsules temporarily. Russia, China, India and the US are the only countries who have conducted ASATs but the US was the only country to vote in favor of the resolution out of those four countries. So some celebrities will get an up close look at any of the space debris and the ISS if a planned SpaceX mission actually takes place and it sounds like it might. In 2018, SpaceX auctioned off seats on the first crewed test of the Starship vehicle which will take eight days to circle around the moon coming within 200 kilometers of the surface. Japanese fashion industry billionaire Yusaku Mizawa bought all of the seats for the entire mission which will be called Dear Moon. He then recruited people to join him and announced his picks on Thursday. All right, let's talk about who he picked. The crew will include Korean group Big Bang's lead rapper Top aka Chae Sung Hyun, US DJ Steve Aoki, Indian actor Dev Joshi, YouTuber, the everyday astronaut Tim Dodd, Czech multi-disciplinary artist Yemi A.D, Irish photographer Rhiannon Adam, photographer Karim Ilya, documentary filmmaker Brendan Hall, and then two alternates in case one or more of those folks can't go for some reason. On the wait list, on the standby, the standby list for the trip to the moon, US Olympic snowboarder Caitlin Farrington and Japanese dancer Miu. So she had in space tourism, not just for billionaires anymore, it's also for their celebrity friends and apparently photographers. The photographer part makes perfect sense to me. Yeah, I want a documentary filmmaker on there. What do you think of this though? It's, yeah, I have feelings. I'm most excited to see like everyday astronaut, a fellow content creator, a fellow YouTuber going up there and for me, the photographer is the documentary. Those folks make sense. The fact that he is going up there as well, that makes sense because he's very educational and I kind of wish that this entire team was a little bit more educational, especially for like younger generations because I have a feeling that we're going to see space tourism kind of act like planes did when planes were first invented, extremely expensive, only the very privileged people could go up and actually fly on a plane across the country. Now we're seeing the same thing with space tourism, only the billionaires can actually afford to go up into space, hopefully in the next few decades we'll see that price decrease over time and be able to see, you know, less privileged middle income folks also be able to go up there. Will that happen? Maybe it'll be after my lifetime but I would like to see it happen. I also sort of wish that, you know, he had a website, Yusaku did, or Yusaku did and apparently about a million people applied for this and the people that he chose seem to be very well-privileged folks. I mean, let's be honest and I wish it was a little bit more like folks that we hadn't heard of, maybe like a teacher from a middle school like NASA has done that in the past unfortunately that shuttle blew up but they've done that in the past and I would love to see the same thing happen with SpaceX to kind of show people and promote that space tourism in the future can be for everybody and it's something that we can look forward to for our younger generations. Yeah, I get what you're saying there. I think the fact that this is going to be expensive to begin with makes sense to me. Just like you said, airplane travel was incredibly expensive. That's why people dressed up to get on airplanes even when I was a kid still. So I get that. I'll give them a B plus on the selection, right? So let's set aside like, well, it has to be a billionaire to afford it. I like that he decided to not just invite his friends but open it up to submissions. I think these photographers, most of which I'm unfamiliar with are great because it's going to make me more familiar with them. It's going to be the kinds of things you would want people to do, which is take photos. They document the experience. They're from around the world. Granted, you picked an actor from India to represent India. I don't know. Maybe Dev Josh, he's like a huge proponent of astronomy. And that's a possibility, right? There are certain actors we could have picked here in the United States that you'd say, oh yeah, but they've always been promoting with NASA and stuff like that. Maybe that's true. I just don't know enough about it. I have no idea of top. Should be working on his comeback album instead of going up to the moon. I'm not sure why he's there. I love Steve Aoki. Mike Drop, Steve Aoki. Good job getting on there. But again, I don't know what he brings to that. Maybe composition though. Maybe Top and Steve Aoki are going to collaborate on music inspired by the trip, and that would be very cool. So I'm not against anybody on this list, but when it does come down to it, the reason I'm saying B plus instead of an A is exactly what you said. I would have liked to see somehow, someone unexpected chosen, like you say, like an educator or something. But again, I like that everybody on here, at least probably has something they're going to bring back with them from it. It's not just like, hey, I was friends with this guy, so I got on it. Yeah, yeah. I would like for all of them to bring something back, something so that I can feel like it's an experience that I can feel emotionally connected to, especially if I have kids in the future and I want them to look forward to this as something that they can potentially experience in the future. So for me, it's very much like future driven. I want this to be as much about regular people as it is for the celebrities. Yeah, but don't forget it's dangerous. Like, you know. Yeah, it is. I don't mind waiting a few decades. Yeah, yeah. All right, let's talk about Amazon trying to get rid of barcodes. When they were new, barcodes were revolutionary. They were a way for a machine to identify a product, something that you really couldn't do very easily. But robots are more sophisticated now and therefore have just as much trouble finding a barcode as you do at self-check out at the grocery store. That's no joke. Amazon is therefore saying, you know what? We make a lot of fine warehouse robotics.   Amazon started by taking pictures of all the products that travel through its warehouses in order to build up this library of product images. Amazon is what is, they're using what is called a multimodal identification, which is this fancy way of saying that it uses more than one way to identify an item like they'll look at the size, the appearance, et cetera. Amazon uses its multimodal identification library of images to train a model to be able to identify those products without needing to scan any kind of code, a bar, a QR or otherwise. So initially they got accuracy around 75 to 80%, which is still really good, but they have refined that model enough to claim 99% accuracy now. Yeah, so they haven't brought it to the robots yet, but they have started with cameras. There's a test pilot they operated in Poland and now have the full thing running in Amazon warehouses in Barcelona and Hamburg. Here's how it works. A conveyor belt moves trays with products in it. That's just the way the Amazon warehouse automated system works. The algorithm then uses cameras to scan as the products fly by to see if the right product is in the tray. There's a list as this stuff goes out of what it's supposed to be. If you've ever got the wrong product in your Amazon box, that list failed. This system is going to check that. The longer they use this system, the more images they get and the better the model can become. That's important because it's fairly easy to scan an item that's sitting motionless in a tray moving at a constant speed. That's what they're able to do with 99% accuracy now. However, robots and even humans pick items up, move them around, they move them fast, they move them in weird ways. So it's more difficult to recognize things in that situation, but Amazon is confident that it can get there. Eventually, Amazon wants this system to be good enough so that robots could just pick up an item and know what it is without having to scan and turn it around looking for a barcode. I feel like over time, this is going to make warehouse ordering and shipments so much more efficient and more accurate for customers as well as Amazon itself. And it will probably save them a ton of money on things like returns and refunds whenever you do receive the wrong product. In fact, I was talking to my mom on the phone this morning and she received the wrong product in Amazon order and she didn't understand how to send it back to them. So I had to walk her through the process. So this will also be really good for consumers who don't want to deal with that stress and deal with that, especially around the holiday season.  It's so efficient and it's so fast and you don't, like if you're very introverted, you don't have to talk to anybody. It's kind of nice. We have a Whole Foods in Los Angeles. I think we have two of them maybe where they put the Amazon Go system in the Whole Foods.  That's why I sometimes look at that, when I was looking at this today, I was like, this is less than it seems in a way because they already do this in grocery stores, right? Now granted, the number of individual SKUs, inventory items in a grocery store is lower than Amazon's entire retail operation, right? By an order of magnitude. You probably, I don't know, I'm gonna guess you might have a thousand or so, maybe a couple of thousands individual items you have to track in a Whole Foods, whereas you literally have millions of items that you've got to track in Amazon. So it's a bigger deal if you wanna get above 99% and given the amount of things that Amazon ships, 99% is still gonna allow a lot of misidentification, right? So you wanna get that as close to 100% as you can get it. I guess what I'm saying, what I'm coming around to saying is this shouldn't surprise us that the company who's able to tell that you picked a box of granola off the shelf in a grocery store is going to apply that to their warehouses, right? Makes perfect sense. It almost feels like the grocery stores and like the Amazon and Whole Foods are like tests so that they can eventually bring the same technology to the warehouses on a much grander scale because like these miniscule tests with human beings, like that's a good start, but what if you can really, really compound that and make it into a huge thing for the warehouses? Like talk about profits, they're gonna make so much money off of this. They're gonna save so much time and it's gonna be so efficient. Like I can see, of course, this is where Amazon is going to go with it. It's good news for them. That's a really good point because what Amazon did with AWS was say, instead of just running a website, let's be a cloud company. And I think what you're pointing out is with their retail operations, they're saying, let's not just run a store, let's be a logistics platform, you know? Yeah. Folks, we get a lot of great ideas about what to talk about the show from our subreddit. If you haven't checked it out, there's a great community over there submitting stories, talking to each other about the stories. You'll wanna get over there and submit stories and vote on them at dailytechnewshow.reddit.com. Now this caught my eye on mlb.com of all places today. Business Intelligence Company Morning Consult, which does lots of surveys released their fastest growing brands of 2022. So I know a lot of you are immediately gonna ask how they determine what a fast growing brand is. Here's what they say. They survey tens of thousands of people worldwide every day. If you follow politics, you've heard of Morning Consult. They do surveys in all sectors of businesses, politics and all kinds of stuff. And for this survey, they measured, quote, the share of consumers who said they would consider purchasing from a brand over the course of the year. So I didn't see the survey, but I expect it means that they said, hey, here's a list of brands. Which of these do you think you will consider purchasing something from? Growth was determined, so the measure of growth, by taking the share of consumers who said they were considering purchasing from the brand in October, so October 1st through the 31st, and then subtracting the number who said the same thing in January, right? So it's just how you figure out growth, right? Number of people who said in October they were gonna buy from DTNS was 10, in January was seven, so it grew by three and then you make a percentage. 1,689 brands were included in the survey. So now that we know how they did it, Shannon, what would we find out? Okay, some of this might surprise y'all. The fastest growing brand overall and one of the reasons that we're talking about this one on DTNS was Meta. Since the question is whether you are considering a purchase from the brand and since sub-brands form companies like Facebook are treated separately, this likely has to do with the MetaQuest headsets. Now Crocs, this is the one that I was surprised about, was number two and beats by Dr. Dre was number three. Zell was interestingly number six and Adobe is number seven, T-Mobile was number 12, Boost Mobile was followed after them, number 19 and no other tech companies made the top 20. Yeah, so we're gonna get to why is Meta worldwide the fastest growing brand in a second? But there's some interesting tech companies showing up when you break it down by age range. The number one fastest growing brand among Gen-Z was Roku. Right? What? So weird. Yeah, that would not have been my guess. Also the other tech companies showing up on the Gen-Z list, Google Sheets at number nine and Samsung Galaxy Watch at number 14. Let's get into the millennials because the millennials dominate all online conversations, right? So the millennials, what do they care about? Actually not much. Meta was number 11. No tech companies in the top 10. AirPods was number 16. Microsoft Excel was 17. Univision's streaming service VIX was 18 and beats by Dray was 20, beats by Dray. Crossing the generations in its appeal. All right, our generation, Generation X had online clothier she-in at number one and see, I thought this was a Gen-Z brand. We're the one, maybe that's why we're like, hey, we should buy clothes where the young people close. Meta was number two amongst Gen-X. Boost Mobile was number three. Google Docs number six. Google Sheets number 10. Zelle number 11. Microsoft Excel number 12. And then the old folks, the boomers. T-Mobile first. I'm gonna buy one of those T-Mobile phones. Meta was also second among boomers. Booking.com third, because more retirees, so the traveling. Microsoft Outlook number four. Apple finally shows up on a list at number nine. Xfinity number 10. YouTube Shorts number 11. They don't truck with the TikTok, but the boomers, they like the YouTube Shorts. Microsoft Start, which is number 17. That is the Air 2 MSN. That's the news app from Microsoft. And Zelle number 20. So Zelle's showing up across the generations here. Shannon, what's your best guess for why Meta showed up number one worldwide overall and so high on the older folks list? So that is so weird to me, so weird. I'm going to guess it has to do with VR. But I honestly like, that one surprised me a lot. Because I think about Meta, and I think about how younger generations are like, ooh, Facebook, like no, we're on TikTok. But TikTok's not even on this list. So what's going on? Where is everybody? I think what's going on with Meta is that people are considering buying the Quest. That's gotta be it. People are thinking like, you know what, that VR. I might, the Meta Quest, I know about the Meta Quest. It could be that they're thinking about buying ads on Facebook, I suppose, and they attribute it to Meta. Because again, this is self-reported. Are you thinking of buying something from Meta? And a lot of people said, yes. It's good news for Meta that there's so much brand awareness around Meta, because when they changed the name of the company from Facebook to Meta, a lot of people weren't sure that was gonna happen. Yeah, it does make sense from that standpoint. I will agree with you there. Another one that kind of surprised me was that Gen Z topped Roku on their list. And Roku's been around for such a long time as kind of an underdog when it comes to streaming. It sounds like they're really getting the gears rolling in terms of getting more brand recognition, which I'm happy to see because Roku's always been a really good player in that field. So it's kind of cool to see them there. Google Sheets and Microsoft Excel being on different lists is not very surprising to me since a lot more people are working from home. There's a lot more remote work and using cloud platforms to do collaboration work. That makes sense. The other ones are kind of odd there. Zell also kind of makes sense for payment platforms. That's definitely been growing in the past few years, but can we talk about Crocs at number two? So weird. Overall, right? If it was a generational thing, I'd probably have more theories. But yeah, number one meta, number two Crocs, number three Beats by Dre. Beats by Dre makes perfect sense to me. People are considering buying some headphones, some earbuds, and they're probably like, I'll probably just end up buying AirPods, but let me see. Let me, I'm considering Beats by Dre. And so they're more likely to say that on here. That makes sense to me because they're cool. I have some Beats by Dre AirPods or earbuds, earbuds, and I love them. Yeah, I too, I think the Roku thing is very telling that Gen Z is not into cable, right? Xfinity is the rumors, Roku is Gen Z. But it's Roku. It's not Fire TV. It's not Chromecast. It's not Chromecast. It's not Apple TV, you know. And it's not any specific TV brand either, although Roku does work on TVs. They have operating systems in TVs. So that makes more sense, especially since they're growing their brand awareness in that segment too, not just using boxes. Yeah, yeah. No, it's a good point. It's very interesting. Folks, if you have theories about this, especially if you're from one of these generations, which I assume you are from one of them, unless we have some Gen Alpha folks out there listening to us, send us your theories. Feedback at DailyTechNewShow.com. Well, it is all the rage with Google being the latest to release its annual year-in-search report outlining the top global searches of 2022. The New York Times game Wordle held the number one spot with all search terms. Not super surprising there. But the second most searched term this year was India versus England, which was in reference to the Cricket World Cup. The word Ukraine held the number three spot. Obvious reasons there. Ukraine held the spot in this year's list of trending news topics. And Queen Elizabeth's passing was the second most trending news topic. Election results was number three. As for people of interest, Johnny Depp was the most searched person globally. Thor Love and Thunder saw the most searches globally for a film. And Euphoria was the TV show with the most searches on Google. Google also said the most popular search query starting with what is was what is NATO. OK, that goes with Ukraine. That makes sense. Yeah, it does. India, England was huge. That that makes sense to me. Euphoria was huge. Interesting to know that it was huge worldwide. Wordle, I didn't expect to last all year, but it but I'm not surprised. You know, it did. The only one that I think through me was Thor Love and Thunder. I was like, was that this year? Like, it's yeah, we had to like look up the when it released. It feels like it was so much longer ago and there have been so many other movies come out since but it dominated the search results. Yeah, I kind of love that people are looking up what is NATO so they can kind of educate themselves on these these very global, very important agencies. And that's that's a big one. So that's really cool. I like seeing that. Yeah, and it was a huge topic in February when the war began. So yeah, yeah, that makes sense that that people would be looking for it then. All right, let's check out the mailbag. Tyler weighed in on our conversation about notifications from yesterday. Tyler says, I definitely hit no verification overload a long time ago and have learned that it needs to be managed. Having a smart watch has actually been the biggest help in managing the impulse to check every single notification all the time, at least for me. I'm not sure if the Apple Watch has this functionality, but with my Galaxy Watch, are you a Gen Z? Is that in the Galaxy Watch on there? Says, I'm sorry. But with my Galaxy Watch, I have very few notifications that get to the watch, even if those notifications are turned on on my phone. Gmail, for example, notifications are on my phone, but not on my watch. I do want the notifications, but I don't need Gmail notifications right away. Messaging apps. Yes, those notify me on my watch because I probably should know if my mom's texting me. What this lets me know is that if a notification hits my watch, I should probably check it, but everything else can wait and will be waiting for me on my phone the next time I pick it up. It has really helped me not pick up my phone for every single notification, while still allowing more notifications to hit my phone than I probably should. Just my two cents, but they're Canadian cents, so there weren't even less. That is not true, Tyler, your cents are worth, I would say your cents are undervalued. Your cents are worth very much, because I do the same thing. I use my watch as kind of a filter and I only send certain notifications to it for exactly the same reasons he's talking about. Me too, I just pulled out my Pixel Watch and I was like, yeah, I've been doing the exact same thing with my Pixel Watch, like less notifications, it's great, and it has kind of taught me over time not to pull out my phone constantly. So it's a good thing, it definitely helps. An excellent, excellent tip there, Tyler. Thank you for writing in. I'd say these are worth at least three cents, probably a lot more, to be honest. You know who else is worth three cents and a lot more is Len Peralta. Len, you've been drawing millions of dollars worth of art during our show. I am unapologetically Gen X, okay? Yeah. And I feel like, get off my lawn, sort of feel, so you can have the story about the barcodes, I was like, must we get rid of barcodes? Come on, I get why we want to move to the future.  I am, I am very old and stuck in my ways. So I took today's art from the view of the barcode. If you guys, and I said I'm unapologetically Gen X, people wouldn't probably recognize this as a little take on Schoolhouse Rock or as someone in the chat called Schoolhouse Mock. But this is a song, you know, I'm just a code. The Bezos wants to unload. It's just a bill. He's only a bill or a code. Only a bill. That's so cute.  You can also just get it the old fashioned way at LenPeraltaStore.com where I am also taking orders through the 20th for my custom holiday cards. So why don't you jump on that if get them while they're hot? Get them while they're hot? Shannon, I know you just got back from Japan. What do you got going on for people like that? Well, I am jet lagged. YouTube.com slash Shannon Morris, two things. One, I'm super close to 85,000 subscribers. So if you want to subscribe and help me get to 85K, I would appreciate it so, so much. And also, I just did a video called Five Best VPNs. It's my my choices for five best VPNs from my security and privacy background. It's not sponsored by any VPNs. I know most VPN reviews are sponsored. So this one is not it's sponsored by a completely different company. So definitely check it out if you want an unsponsored review of some really good VPNs in 2022 slash 2023 to choose from. Excellent. Also, thanks to our brand new boss, Ted, who just started backing us on Patreon. Ted's middle name is Patreon, according to what Ted put in on Patreon as well. Thank you, Ted, for for starting to back at us. Welcome. Here's what you're in on Ted, because you backed us today. Just last night, I updated our loyalty merch.  In the past, we've done this. It might mean you end up with four stickers or four t-shirts. And we've had different art from Len on each one of those t-shirts, but it's still four t-shirts this year. We still have art from Len. It's our ninth year anniversary art because we're hitting our ninth year anniversary on January 2nd.  It's kind of a USB meets a floppy disk and the floppy disk looks like a nine way cool Len outdid himself with this. So if you want that merch, be like Ted, sign up and then stick around. Every three months, you're going to get something and associate producers are even getting something this year. We haven't been able to do it at all the levels this year, all but the lowest level get merch. That's that's just what we're doing is as Patreon makes it easier to do this sort of stuff. So fun stuff for you to get as a thank you for supporting us at patreon.com slash D T N S. Another thing you get if you stick around is, of course, the ability to listen to Good Day Internet, our extended show. It's going to start now. You can also catch the show live Monday through Friday, four PM Eastern 2100 UTC. Find out more at daily tech news show dot com slash live back on Monday with I as act talk to you then this week's episodes of Daily Tech News show were created by the following people, host, producer and writer Tom Merritt, host, producer and writer Sarah Lane, executive producer and Booker Roger Chang, producer, writer and host Rich Strafilino, video producer and Twitch producer Joe Coontz, technical producer Anthony Lemos, Spanish language host, writer and producer Dan Campos, news host, writer and producer Jen Cutter, science correspondent Dr. Nicky Ackermans, social media producer and moderator Zoe Detterding, our mods beatmaster W. Scottis one bio cow, Captain Kipper, Steve Godorama, Paul Reese, Matthew J. Stevens, AKA Gadget Virtuoso and JD Galloway, mod and video hosting by Dan Christensen, video feed by Sean Way, music and art provided by Martin Bell, Dan Looters, Mustafa, a cast and Len Peralta, live art performed by Len Peralta, a cast ad support from the amazing Tatiana Matias, Patreon support from Dylan Harari contributors for this week's show included Nika Monford, Scott Johnson, Justin Robert Young and Shannon Morse guests on this week's show included Andrea Jones, Roy John C. Dvorak and Rich DeMuro and thanks to all our patrons who make the show possible. This show is part of the Frog Pants Network. Get more at Frogpants.com Diamond Club hopes you have enjoyed this program.


Hello everybody, my name is Benedikt and I'm a data journalist at Züge Zeitung in Munich, Germany And I'd like to give you a short presentation about how we are doing journalism with our Just a short content introduction thing Data journalism is one of the latest developments in the media industry. It's about 15 years old you could say and well, it's has some roots in the 1950s, but most of it is a totally new form of journalism The idea behind it is to use statistical tools and methods to investigate and explain developments in our Data-driven and more and more data-driven world And I'd like to give you a short introduction and a short overview about how we're usually working with our odds our casual workflows for a data-driven journalistic project Why does that matter? Well, there is a famous report by the New York Times a couple of years ago Where one of the first things they stated there was Not enough of our report uses digital storytelling tools that allow for richer and more engaging journalism Too much of our daily report remains dominated by long strings of text. That is something that's also a big concern for our newspaper the New York Times Calculated some numbers and They found out that just around 12 percent of their stories Had some deliberately placed visual elements, so that's not much. I mean usually there are a couple of hundred stories per day But that's also an idea we're trying to get better in place more Visuals to explain things that might be explained better in a visual better for readers Who are we? Well, I see Dr. Zeitung is one of the oldest German newspapers It was founded right after the war. It was one of the first newspapers in Germany today it reaches around 1.3 million readers in print and Well, a couple of more in our digital channels in May, which was obviously pretty strong Thanks to COVID-19. We had nearly a hundred million visits on all our digital products And I am part of the data and digital investigation team We are five journalists and we combine the work with data With expertise in digital research. So we use in digital tools technologies to investigate stuff Most of our team members have a background in social sciences We have one who studied math and physics and one who comes more from a developer perspective What do we do? Well, we have a couple of things that we're doing. We're analyzing and visualizing large data sets Obviously in a way We're helping other departments with data-driven reporting So they can ask us questions when they having some stats or something And maybe they have questions about the visualization stuff And we're also doing a lot of shorter and long-term research and Investigation with data and digital tools Shorter projects which usually could last between a couple of days to one or two weeks, maybe Could be analyzing election results. That's typical thing data journalists do Wrangle through the numbers and try to find stories out of these numbers We also try and analyze the impact of the ideas that are currently being discussed in the political debate and If we're lucky, we can find a number that might add something to the debate Long-term projects can range from a couple of weeks to a couple of months And if you're looking at the Panama papers or the paradise papers even a couple of years So it's a very broad range that we're having there One project that's not about a large-scale investigation was something a colleague of me did Some months ago. She was analyzing the speeches in German parliament and built a NLP model So she didn't have to compare word by word But she was trying to compare meanings over time in the German parliament How do we do this all of this? Well, we're trying to break down the workflow in a bit But let me start with this that Most of you might know Hadley-Wickham's visualization of the data science process And I think it's quite similar if we're taking the data science process in journalism With some slight changes. So a lot of the stuff is pretty pretty similar But we're taking out the model part of it Data journalists focus less on the model building there are exceptions and It's I have the feeling it's getting better and a lot of a lot of more models are built for journalistic purposes But we have experienced a lot of problems with that when we're trying to communicate uncertainty and Models usually come with some kind of uncertainty and it's very very hard to explain uncertainty to readers and To explain what a model does to readers. So as I've mentioned, I have the feeling it's getting better and more models are being built to explain stuff and Make journalism better But right now a model building is not one of the big domains large domains in data journalism But the rest of it is pretty similar I guess to the data science workflow. It's about finding suitable data It's about data wrangling of course a lot of a lot of the time gets in that data analysis and data visualization is very important for data journalism as visualization and Communicating the data's like the biggest part of our job How to find suitable data? Well, the big difference I guess between data science and data journalism is that we are using a lot of publicly available data open data from government institutions, for example We're also using a lot of data that's crepable from the web and Sometimes when you're working in the investigative department, you're using data from leaks, for example the Panama papers Let's dig a little deeper in that public data I had the experience is very easily available in the US and the UK that have a strong tradition of Transparent government in a way in Germany. It's not that easy There is a freedom of information law on the national level. So for national institutions, you can ask for certain data sets But in Germany we are very strong with data privacy, which is good But it has a downside if you're the one that wants to get data It's always a nice refusal a nice excuse for refusal of this open data and Not even every state has a ever-while law for example, but area doesn't Some examples of public data sources Well, the biggest public data source I'd name in Germany is these status, which is the federal agency for statistics Which also collects from the single states in Germany and they have a huge Repository of data and they are very nice and always try to support your data requests. So they are very useful data source for us and I'll name another one the federal agency for disease control and prevention the Robert Koch Institute Which is currently in the news they Publishing the COVID-19 data and they were learning a lot in that during the last months They started out not that good with a with a table on a website and right now they're having a open data Well, you could say an open data website where you could use an API to access the data adjacent format You can also download the CSV so they got a lot better during the last time Yeah, I'm always trying to name some packages that we're using for these status the federal agency of statistics You could use the D status cleaner that a colleague of mine wrote a couple of years ago But luckily they recently really recently added flat file CSVs for download So probably you won't need that in a package anymore. You could just download the flat file CSV from them They used to have multi-line headers CSVs and all that stuff So stuff you really didn't want to care about when just reading in your data Scrape data is something we're doing a lot could start by just extracting tables from web pages accessing including jason's to flat files is basically not scraping but Well, it's making data accessible. That's on the web And automated data collection, of course is another important part of that We're mainly using read out if it's already in a flat file format our vest is library We often use for web scraping and jason light is my personal favorite for accessing jason's Leak data is something a bit separate cause it's usually not transmitted via the internet Usually you get a USB stick and hard ticks drive or dbd And if it's a really sensible data, you do usually not sitting on a machine that's connected It's usually on a machine that is not online and it will never see the internet We have database system in use it's open source. It's called olive Where we are trying to make all the data accessible Without looking at the the document type so you can have emails you can have pds whatever It's OCR art and you can get a full text search in there Data wrangling in our Something that takes up most of the time of our work. I'll give you a current example COVID-19 We are currently producing around 10 automated charts that are being updated every 30 minutes from various sources we're putting all that together in a single data frame and Having separate layers or separate factors Where we can just filter out the data for each individual plot But it's much easier to have one data frame that we're putting into our archive And that's being appended all the time We're uploading the data to data wrapper data wrappers our visualization tool With the big advantage that it's very easy to get mobile ready charts from there Charts that are being put on for desktop Screens and even charts for print you can get out of that This is the COVID-19 project folder put out a lot of stuff, but basically what we're having is a big Functions folder with input functions production function processing functions that are all settling on based on each other Input gets everything in then we got that data frame then we're processing the data frame calculating for example doubling rates And then in production each chart got its own But his own hard script that pulls the data out of the data frame and pushes the data up to data wrapper And we're just running that on a server The typical data-raining libraries Well, I guess a lot of you use the tidy verse and we do as well deep liar stringer and tidy are other ones We use most And a big part of our job is to find a story in the data So data analysis plays an important role in our job And there are some typical story points in data journalism that I just wanted to mention here winners or losers or something We're always looking for high or low top or bottom are just equivalent Outliers are very interesting and it's something that is a real outlier Which is usually a story for us and change over time is something you see a lot in data journalism Which is pretty obvious if you have a couple of points of time Then you just plot and if you see something it's already a story We're using deploy our lot and if you're having something special in mind. We use specialized packages So I just brought up quantita There was a project I did a couple of years ago where we're trying to compare The position of a party to its election program and there was the word fresh algorithm used there And it's implemented in the quantita package. So it always depends on what you're going to do Let me put something more effort on the on the story part This is a project a colleague of mine did about the children's books and she collected thousands of Children's books with keywords that describe it was happening in this book. It was from a library in Germany And she didn't the analysis and the visualization are so that's a good example And this is like well, you could say it's a work cloud basically. It's a graph That shows some of the keywords that are associated with a male or boys adventures in children's books And you can see for example You can see pirate you can see fight you can see often you can see Africa and Asia historical story. So that maps the type of Male adventures or boys adventures that you can find in the children's books in our data It gets interesting when you compare that to the female adventures as you can see here They're not that many dots in that graph which shows that female adventures are limited to Less keywords. That's the first learning and of course the content is different as well. It's more about love It's about vacation. It's about horseback riding or princess So it's not just the content that changes but also the diversity of The stories is different That's one interesting learning that I've got from this from this analysis from a colleague If you're doing data Visualization and are we usually use data wrapper for let's say simpler digital graphics Because it's very fastly done and it's already mobile ready And we got a slight interactivity that you can use or you don't have to use it So it takes a lot of the pain that you usually have when you're creating graphics for digital products For fancier graphics, we usually most ggplot which is also very nice We put that in the newspaper because the print designers can just access the SVGs or PDFs and work with that The problems we encounter well Maybe some of you have a pretty similar feeling when you're doing data science Some of our colleagues have no idea How tedious the work of data can be and how long it might take the problem is for them Some of them it might look like magic what we're doing. We're just typing something into our keyboards and our laptops and we get a result graphic visualization so yeah, it's always hard and it's always a lot of explanation needed what we do and how we did and Well, I got the feeling it's getting better in the last years But maybe you experience something similar There is one thing I'd like to mention and which is sometimes being discussed in journalism that Tended to be a lot more discussed a couple of years ago is data journalism really Journalism was just tacky hacking into your laptop and I'll argue. Yes, it is But it's something different. It is another perspective on information gathering because you got another type of source data is now your source that you can ask questions and It's another perspective on communicating research results to our readers or user users because it's not a Lot about texts. Well, there might be an option that you're writing a text and not having any visualization at all But mostly the work we do And in the end got some form of visualization So it's also another perspective on showing the results of your research to the users You can find a lot of our Stories on the project side project a dot suit or two dot de and some of our code on github We're trying to publish more of our research code mostly are sometimes python but Yeah, you know, it's takes a lot of time cleaning up this stuff. And so that's always an issue But we are really trying to do better If you got any questions left feel free to contact me On my email or you can send me a PMDM on Twitter And if you want to find out more about the topic data journalism Just follow the hashtag DD out for data-driven journalism on Twitter, which is very helpful in you really Get a sense what's going on this in this community. Thank you very much and enjoy the rest of user