We're here with Rob Strickland. Rob is a former CIO, I have T-Mobile. So there's a certain amount of time you can become the X, but right now I'm still the former.  When did you leave T-Mobile? About a year ago. About a year ago, okay, yeah, so almost X. Yeah, right, right, almost. And also, and now you're consulting with senior executives, right? But you've got, this cloud meets big data, this big data piece is something that you know a lot about, isn't it? Yeah, I've kind of swam around in that stuff for a while, yeah, absolutely. So maybe we can start with what you're doing these days and you know, you're, as I say, consulting with senior executives and what are you seeing out there? For example, what's your practice? Do a little commercial for Rob Strickland, Inc. And then we'll talk about what some of the senior execs are telling you and I want to talk about big data and how you see some of these problems being solved. Excellent, well, first up, I think it's great to be a CIO and working on both sides of the table, if you will. So a lot of what I get involved with right now with companies is really helping give this CIO perspective. And let's face it, and there are not a lot of times that companies really understand what we're doing. So under the premise that it takes a thief to catch a thief kind of thing, we're, I spend a lot of time working with the companies in and around the carrier space. And a lot of that has to do with the way that they perceive CIOs and executives want to consume, deploy, or distribute technology that is therefore consumed by the IT groups. And let's face it, I think we've talked about this earlier, listening in, there's a big transformation going on, not only with big data, but also in IT departments. I think companies now are struggling a little bit to say how do you sell either directly into the IT department to the CIO or go around the CIO? Cloud computing and some of these new technologies have made it more available to go directly into the business units. And we used to call that affectionately shadow IT. And so now that we really have to kind of take down some of these barriers of shadow IT and kind of find a new way to work the sales channel and not sort of throw the IT guys under the bus necessarily in the process of bringing this technology there.  And everybody said, oh, we're just going to run around IT and put in all this infrastructure and the corner execs let it happen. I mean, because it was such a productivity hit, but then realized, wow, this was not the right thing to do. And then went back to guys like you and said, can you please help us clean up this mess? Yeah. You know, we're sorry. Right.  Fix this, yeah. And I think people learn from that, don't you? Yeah, well, you'd like to think that we learn along the way, but it's interesting how much we go back to the old tricks, you know? So, right? I mean, it's kind of like, oh, you know, we called the old the new and we're kind of right back in there again. So, you know, if you've been around a couple of decades, I've been fortunate enough, my first CIO job, I was about 28 years old, so that was like 10 years ago now, right? So, you know, look at that. Looking good. Yeah, looking good, huh? But, you know, it's kind of out with the old and with the new, and the more the new stuff comes in, the more it looks the same. And, but you know, the cloud computing, even the advent, we're going to be talking about thin clients again, I think, pretty soon too, right? And low iPad, virtualization at the desktop.  It really kind of gets us back into that old 3270. What do you think of the application market? I mean, I wrote a post in 2009 called the Mobile Innovation Cycle, and I was essentially referring to the SMS application on mobile. Back in the day, that was a huge success, but vertically built by the provider. But now at the Apple App Store, you have massive tsunami of apps that are essentially not part of the carriers. And so you've got video coming in with Netflix, Dish NetworkBot, Blockbuster. The content market's interesting. And the data's always been there on the carrier side. Is there any insight you can share around how you think data will be used in that market? Well, we hope it is the data we used for more revenue. Right? I mean, it's all about really making money at the end of the day. But the challenge is going to be is how to actually, how do you package the applications and the content so that you're not just in the pipe business?  And we've kind of faced that in the tethered world. We just don't call it that. You know, the apps have proliferated.  So why not on the mobile side? But, you know, I'm not surprised that the folks at Dish are expanding out and NBCU, Comcast getting into content. Content still is king. And the monetization of that becomes pretty important on top of distributing the network. Is over the top now fully a done deal? I mean, that's obviously the model. It's not the own carrier model. What was that? Well, the carriers are, I think, you know, carriers can be kind of preoccupied. Look, they've got spent a lot of money building out LTE. And that's a huge amount of CapEx to deliver. At the same time, you have a huge number of human beings that you're deploying on top of that, doing superior customer service, and you're trying now to deploy applications. It's kind of really hard to say, what kind of business are you in? And so, you know, I think that's why we see roll up. Have you seen some of the LTE performance? Verizon's been phenomenal. Palo Alto, we were pulling down 25 meg, Dave, in spots. And even in spots where it's really had one bar, you know, five meg down and one meg up. Really amazing performance. We could run the cube almost. Yeah, the cube's going to be on there. But you think about this, though. I think the challenge is, is just when, the early days we were talking about how fast is your computer? Talking about how, you know, what are you doing? How many megahertz? Yeah, you're doing dual token ring, you know, passing, right, or you're either not fast enough. And now, we're getting to the point where it's going to be just fast enough. And then, what do you really care about? So, we're going to be talking about it less and less, and then we start talking about content, we start talking about applications, we start talking about security, mobile wallet. Yeah, in the old days, the networking vendors or the storage or the hardware vendors, where the big innovation was, we added a new port or some software feature. I think now we're hearing this story about value and business model innovation, and it's just a whole different mindset. Yeah. Well, I think that's why you see companies like EMC moving up the stack. You know, they're a trusted brand, we see them in the data centers, you never got fired for bringing the big iron in, but to become more relevant, really, to the portfolio, you've got to move up the stack, you've got to get in the app layers, and then you go and buy companies that start to be more relevant, and now you have the guts, even to go buy companies that have core of open source, like Green Plum, that's pretty impressive. Now they'll start looking on analytics, they'll start looking on how to capitalize on this proliferation of data. Green Plum, we met the Green Plum at the Green Plum Hadoop World, we met Marco Pacelli from ClickFox, and very impressive five-time entrepreneur. This guy's got an amazing view, Dave. We've talked to Marco before, and I think you guys might have even had a chat about it at a conversation, about how he's using the data, and what's interesting is that, he's probably one of the only companies I can see out there that's really putting the data equation to revenue, where he's looking at actual saying, hey, here's data, here's what the customers are doing, cross multiple data sets, and to look at a customer footprint. So the ClickFox is an interesting company. I mean, they basically, as I would describe it, allow companies, organizations to get a view of the touch points that the customers come through, whether it's chat, or web, or phone, and it's a hot button for me.  It's just a very frustrating experience. Rob, I know you've had a lot of experience in the telco world, we've all experienced this, but it's a point now where the touch points are exploding, and the frustration is at an all-time high, but it seems like technology sort of got us into this problem and is helping us get out. So I wonder if you could talk about, so why is the problem so acute, and what are organizations doing about it? And I want to talk about analytics and the role they play. Well, it's interesting because when you problem solve, you tend to do it in an organic way, and so you get the stove pipes, you get a channel that sort of overdevelops across the different channel, so maybe your IVR has gone on a little bit faster. Fix the IVR.  Now, the two curves you worry about most are painfully obvious. You got the cost curve and you got the revenue curve. If you don't tie those together with customer experience, I think you lose, and so we always leave these footprints in the sand, but very few companies have been able to pour concrete over them and then lift them up and say, here's what happened. And we have these little happy trails that go through all of these systems, and we think when we program them, aha, we fixed it. When you have companies like ClickFox that take customer experience and actually expose it, you can actually drive up the revenue because you find out where people are helping you really make money, and then also you can cut out the cost.  Yeah, so the interesting thing that when the conversation we had before is you had obviously a lot of experience with traditional analytics and traditional data warehouse and we're hearing about big data now, it's different, isn't it? In terms of just the amount of data that you can operate on and the speed at which you can load data, right? That's sort of game-changing. Can you talk about that a little bit in terms of your experience? Well, loading data I think is, I think it's a really interesting question because I think we think about getting the analytics right and then we think about the data stores and we have some really cool stuff now that we know is hitting the market. But we're not really yet talking about in-memory movement of data and we have the traditional guys out there, but there are some sort of jumping on the scene like CRX and others that are trying to do this in-memory translation. SAP's starting to talk about a little bit more. SAP's doing it with what they've done with HANA and with Sybase, very impressive stuff and really we're on the edge of people sort of saying, look, I got structured and unstructured data and I got a ton of it. But by the way, I want near real-time analytics, which means if there's any latency, it's not good enough. And the social media aspects are now really putting pressure on us to say if somebody is sort of hitting our brand or their net promoter score opportunities to move one way or the other, if you miss that opportunity, it's sort of like the Justin Bieber effect. They're gone and they're gone. And so nobody's waiting any longer to do a phone call and I'll get to you when I get a break at the office. They're talking to you live all the time. And so I think it really gets to be very important. I wouldn't be surprised that we're here next year really talking now about up the stack again and we're talking about analytics and the transformation of data out of structured and unstructured inside the firewall, out how fast it's getting to actually hold in and how scalable it is. I think that's going to be huge. Yeah, so you had actual experience with ClickVox, right? And I believe Green Plum as well, right? That was the combination. And compared to a traditional warehouse, you're talking about the latency factor. But what's interesting to me about that is I think about real-time. We have debates all the time. John and I talk about it. What's real-time? What's that really mean? And I think you just defined it. Real-time is fast enough so that you don't lose the customer. It might not be a synchronous interaction, but it's fast enough before they're gone. Is that a good way to look at it? Yeah, I kind of say near real-time where n is quite small and n just has to be tolerable to whoever is actually consuming the data and what the situation is. Because there are sometimes when you're, if the customer is down and you know red is dead, their tolerance around latency is zero. But if something is sort of breaking, we have a higher degree of tolerance. We have a low degree of tolerance on an airplane ride versus maybe in the cashier line at a store. So there's just a different level of... It's just, I mean, my view is real-time is about real-time value. So if you're driving your car, you're doing something different than sitting down quiet. So I think real-time to me, I totally agree with you. It's just in the eye of the beholder because it depends upon what the situation is. If you're looking for real-time value, you have to be doing something in real-time. So if I'm driving to in town and I want to find out where the garage sales are, that's real-time. I need to get that data. Or I'm a customer, I want to find out some support. I want that real-time if I'm in that situation. So there's no one formula, Dave. I mean, I think that's where the data is interesting. And we heard that yesterday. It's how you collect that data in and make sense of it. Well, so we've had Marco Pichelli on theCUBE a couple of times and I'm sort of curious as to what your experiences are. Is all that great stuff he's telling us true? Yeah, well, my experience has been, it's very true. It really is an up-and-coming technology and I think, again, these customer analytics are going to be really important as we sort of rock it forward to understanding that customer experience across all these channels really matters because if a customer comes at you from one viewpoint, like maybe the web, and you don't correlate that back to a call center experience, you really lose out to where the customer went left or right. And then, of course, I think that you see the analytics on top of now data stores and storage capabilities, like we see with EMC Green Plum, that really allows the business user to dynamically put things up into a data store so that you really don't get this shadow IT. I mean, I was running around playing whack-a-mole for years about the way that you could actually do these little data stores. Otherwise, you'd have to go up to the big expensive stuff. And so now there's somewhat in between that it actually is in production and production ready but it dynamically moves. So that helps people like Clickbox and Marko sort of bring their solutions to bear where people can actually start using on the business. Their time to market for that solution is measured now in months instead of years. And it gets IT off the hook for saying, hey, when you give us the requirements, we'll deliver for you. And Marko and these companies now offer this software as a service.  That's the other thing that's just amazing is that you can actually put this in the cloud. And if you really have to be on-premise and you have to put it on your tiles, you can do that later, or you can do it at the very beginning. So it's very flexible. All right, we're here with Rob Strickland. Rob, thank you very much. I could go on forever with you. It was a fascinating discussion. We got to stay on time.


Dear student, in the last class we have seen crop weather interaction for cotton and sugar cane. In this class we like to see the crop weather interaction for sugar beet and chickpea. Let we see the crop weather interaction for sugar beet. It is one of the important crop cultivated in most part of the temperate region. To some extent it can be possible to grow under tropical region by introduction of the new varieties, already several varieties are existed for tropical region also. Let us see the crop weather interaction during different growth phases. The phase one is germination. I told you in the earlier class the weather requirement of a crop is determined by the habitat of the species. It is originated from the temperate region therefore the germination occurs at low temperature of 5 degree Celsius, while the minimum is 7 to 10 degree Celsius. And the optimum is 15 to 20 degree Celsius, if the temperature goes above 30 degree Celsius that will harm the seed germination. Let us see the crop weather requirement for vegetative stage. During this stage crop can able to produce more than 15 leaves arranged on the top of the root crown on a circular manner to harness more sunlight energy. The duration is around 5 to 6 months. Therefore it has to be harness more side light energy. It requires a sunny hours coupled with a warm temperature during the vegetative stage. The next stage is the tuberous stage or tuber formation stage. The maximum tuber size was harvested with the optimum temperature of about 24 degree Celsius was reported. During the two phase that is from vegetative to reproductive stage or the tuberous stage it requires a optimum soil moisture level. It is advised to light irrigation has to be provided at a periodical interval to get the maximum tuber size because tubers are grown under the soil. Therefore optimum moisture has to be adapted to increase the maximum tuber size. The next phase is the ripening phase or the maturity phase. In general most of the sugar cane or sugar producing crops requires a cool temperature during the ripening stage. High sugar yields are obtained when the night temperature prevailed during the 15 to 20 degree Celsius and the day temperature between 20 to 25 degree Celsius in the later part of the period. During the maturity period if the temperature above 30 degree Celsius greatly decrease the sugar yield. Let us see the water requirement. The water requirement is around 550 to 750 mm. Let we see the crop weather interaction for chickpea crop. It is one of the important cool season crop cultivated in most part of the India especially during the post rainy season under the stored soil moisture. Let we see the crop weather interaction for chickpea crop. Chickpea is highly sensitive to light as well as high temperature being a cool season crop. It is highly sensitive to high temperature as well as drought situation. It has two different types. One is the desi type, another one is the kabuli type based upon the color of the seeds. However, the desi seeds or desi type can tolerate even the cooler temperature as compared with the kabuli variety. Let us see the crop weather interaction in different growth phases. Chickpea seeds germinate an optimum temperature of about 28 to 33 degree Celsius coupled with optimum soil moisture that is almost 80 percentage of available soil moisture. As I told you earlier, the nature of the seed is also determined the weather requirement of the crop. It is a bigger in size therefore it requires more moisture as well as it is covered with a thick seed coat. It requires little higher moisture to catalyze the germination process. The optimum temperature for seed germination is 28 to 33 degree Celsius coupled with 80 percentage soil available moisture. This crop may tolerate under cool temperature as well as the frosty nights ranging from 0 to minus 1 degree Celsius and also it can able to tolerate even the warm temperature as well as the hot temperature situation. However, it is highly sensitive to drought condition. The optimum temperature during the vegetative stage is 21 to 26.6 degree Celsius during the daytime and 17.8 to 21 degree Celsius during the night time is required to produce maximum biomass. Let us see the other growth stages namely, reproductive temperature above 30 degree Celsius especially 32 to 35 degree Celsius during flowering distinctly offered the flowering. Let us see the water requirement of the crop. The water requirement of a crop is determined by the stored soil moisture therefore the water requirement is very minimum for chickpea is around 110 to 280 mm. This is about the crop weather interaction for sugar beet as well as chickpea crop. In the next class we will see the crop weather interaction for sunflower and mustard. Thank you.


President Donald Trump announced that he will be halting funding to the World Health Organization, which is probably not the best idea to say the least because we're all in the middle of a pandemic, in case you haven't heard.  So if we strip away funding from the World Health Organization and these states around the world get less help, then that doesn't just impact those developing nations. That impacts us because this is a contagious disease. It's not just like, well, we're fine, so you all can deal with this on your own. If they get it, we can still get it again. So this is a move that's irrational because even though we're selfish, this goes against our own self-interest. And the reason why Donald Trump is now choosing to go to war with the World Health Organization, seemingly, is because he's accusing them of mismanaging the crisis and, you know, not providing us with the information. And he's basically accusing them for exactly what he is guilty of doing. It seems like he's trying to scapegoat them. And we all know that he botched this crisis. He bungled it. Had he acted sooner and listened to the experts and the warnings that he got, numerous warnings about the severity of COVID-19, we would be better off. We would not have been able to escape this pandemic, but we would have been better off. That's undeniable. So it seems like he is making this move because it's politically expedient. He wants you to blame the World Health Organization for his failures. Now, you can believe that the WHO has its own failures. That's fine. But you are not realistically going to absolve Donald Trump if you want to be taken seriously, because he is largely to blame for the severity of the crisis here in the United States. Now, on top of that, at a time when Americans desperately need help, they're losing their jobs. People are applying for unemployment in record numbers.  It's already bad enough that these one-time $1,200 checks from the IRS are just crumbs. But in times of crisis, even crumbs are better than nothing, right? So people need this immediately. But because he's a narcissist, because he wants to make sure that he's able to gain something from this politically, he is ordering the IRS write his name on these checks. Now, this is unprecedented, because the IRS is an agency that's supposed to be nonpartisan and apolitical. So for him to do this, not only is it unprecedented, but it is incredibly selfish. It is, you know, a Machiavellian political tactic. But unfortunately, it is one that I think will benefit him. So for more on this, we go to Daniel Villarreal of Newsweek, who reports, late Monday evening, the U.S. Treasury Department ordered the Internal Revenue Service to print President Donald Trump's name on the stimulus checks it is sending to millions of Americans nationwide reports the Washington Post. The Treasury Department's order could cause the checks to be delayed by several days or longer as senior agency officials told the publication. The unprecedented decision will mark the first time in history that a President's name has ever appeared on an IRS disbursement. Usually, President's names don't appear on checks issued by the Treasury Department in order to keep such payments nonpartisan. His name will appear on the memo line appearing left side of the stimulus check. Administration officials who spoke anonymously because they weren't authorized to publicly discuss the matter said that Trump had originally asked Treasury Secretary Steve Mnuchin to allow him to formally sign the checks, but the President isn't legally authorized to do so. So this is genuinely embarrassing. Like, this is a Michael Scott thing to do. He is unwilling to allow Americans to have anything unless he can personally benefit from it politically. He doesn't care about Americans. He's willing to delay the stimulus checks that they desperately need now also he can take credit for it, which will help him in November. And he already asked advisors why we can't just let COVID-19 quote wash over Americans, which would kill them. So it's obvious because he was afraid that the suffering economy wouldn't bode well for his re-election chances. So this is all about him. It's always been about him. That's why he chose to run for president. And all of that populist rhetoric was nothing more than political theater. Donald Trump is a reality television show star. He's a showman. He doesn't care about you. He cares about himself and himself only. And if you believe that he actually does care about you, well then congratulations.  You're like a sheep being led to the slaughter. But the saddest part about this is that this is probably going to help Donald Trump substantially because most Americans who are voting, they probably won't know that, you know, Donald Trump did this huge thing to delay the stimulus checks as an obvious partisan political ploy. So they're going to see that the president gave them $1,200 because they're going to see his name on that check. And they're going to likely return the favor by voting for him in hopes that he'll give them more money that they desperately need currently because even though you and I are, you know, glued to the news and we follow politics really closely, the average American doesn't have time for that. They don't have time for that. And even if they're laid off and they have more time technically to pay attention to these types of news stories, you know, when you're unemployed, it's not the funnest situation because, you know, you can easily fall victim to diseases of despair where you are depressed and you just kind of tune out the world around you. So they may not know and they may, you know, help Trump by thinking he gave them money and then they might vote for him. Marianne Williamson, I think, put it best, he didn't simply say he has absolute power. Now his name will be printed on every bailout check and there are tens of millions of Americans who are literally going to think he personally sent it to them. Don't kid yourself. They'll want to vote for him in order to say thank you and she's exactly correct here. It's shameless, it's overtly political, but this has the potential to be really effective. This is an effective strategy deployed in a lot of developing and third world countries that are run by authoritarian governments. You know, political parties don't necessarily offer policy concessions to voters once they're in power, but sometimes they'll do something as simple as delivering groceries to constituents and make sure that the party logo or emblem is on the bag of groceries or box of groceries and this works, this cultivates, you know, a sense of dependency on the party and it makes voters think and even non-voters, people who don't vote in these authoritarian regimes, it makes them think that their government is legitimate and they should acknowledge the authority of government, right? It's a means of cultivating legitimacy, it's a political ploy, but it does work. It does work. So I think it's incumbent on all of us to let people know that Donald Trump did not give them these checks personally, but you're not going to get to everyone and this is probably going to help Donald Trump, which is obviously why he's doing it. But here's the thing, this tells you a lot about Donald Trump and why he actually doesn't care about people because if he actually wanted to help the American people and lift millions of people out of poverty, he's in a position of power right now to where he can actually do that, but what has he chosen to do? Give tax cuts to him and his rich friends, elites, ramp up the drone wars, and now that he's offering you crumbs, he wants to jump in front of the cameras and take all the credit for it when where has he been all of this time? Where has he been? People are losing their health insurance because of him. People are dying because they don't have health care. He's doing nothing because of that. And now he wants to take credit when it's convenient. Despicable. This person is a narcissist of the highest order and he cares about nobody but himself and he is unwilling to take any action whatsoever to help the American people unless he knows that there's going to be some benefit politically for him. Disgusting.


What's going on everybody? Welcome back to another video. It's your girl Janice. If you're new to the channel, make sure you hit that subscribe button and join the family. Guys, today I am going to be pranking Isaiah by making him think that he walked in on me trying on my wedding dress. So guys, I am so excited to do this prank. So I got a dress on Amazon.  Then he's probably going to walk in and then once he walks in, I'm just going to be like, I didn't tell you to come inside. Oh my gosh. This is my wedding dress. He saw me in the wedding dress and I'm going to start freaking out. So right now Isaiah is in the studio room. He's just getting some work done. He's honestly helping me with some stuff I got going on on the low. You guys will find out about that eventually but that's not what today's about.  So guys, if you are ready for today's video, don't forget to smash that like button, comment down below team Janice and let's just get it guys. I already got the caramel set up. We're upstairs. Isaiah's in the studio room still. I wanted to show you guys the dress. So this is the dress. It's so pretty. It's very big, very fluffy. Look at this. And then a little backstory real quick. So my actual dress came in already. So I'm basically like convincing him that this is like my actual dress because it aligns perfectly because like a couple days ago I went to do my like dress fitting and so he's been like, oh I want to see it but like I don't you know for the surprise.  Let's do this baby. Team Janice. Don't forget to comment down below team Janice. Let's get it. That was disgusting. Sorry. So I'm not gonna be able to put this part on because it's all buttons and I can't see back there. I mean actually this isn't personal. All right let's give it a shot. I'm just gonna put it over my clothes for obvious reasons. Oh my gosh this dress is huge. Oh so cute. All right I'm about to call him in. This is crazy. All right y'all. So the mirror is right here so I'm pretending to look in the mirror. Let's get it guys. You ready? I'm nervous. Okay. I'm very nervous. Bam! Okay I said what like twice. I screamed it. You didn't answer me. Exactly. That means not. You could have texted me like, yo can you get me water babe? Like don't come in the room. I'm trying on my wedding dress. No. But it's worth it. You look better than it. No. You just saw me in my dress. Okay babe well I understand that but you can't get mad at me. You called me and I came over here. What else was I already saw? Because you like you were staring at the details and everything like if you would have caught it. That's it. I already saw it. So what's the point? I'm still gonna cry when I see you coming down the aisle. You're not. Yes I am. It's still going to be a shock to me. I just don't understand why you're gonna get mad at me. You called me to come over here. I did exactly what you told me to do. Yeah but you just walked in and you didn't go away when I told you to turn around or anything. You just stand there. It's over for that. Like imagine like I've never seen you without clothes on and then all of a sudden I walked in on you but I already saw what you looked like. That's it. No. You can't see like the details. Alright babe. Okay so I'm sorry. I don't know what you want me to say. And you keep looking at the dress. Oh my god. I already saw it. What is the point anymore? What? You want me to just you shouldn't have called me over here if you were doing that or at least give me a heads up. Like babe I'm trying out my wedding dress just. Obviously the door is closed. I'm telling you to like not come in. Babe we close the door every room we're in. No we don't. We don't always keep that door closed. Okay babe. Alright I don't know. It's a nice dress and you look nice in it from what I saw. Alright well you might as well just look at the whole thing. Okay so try it out for me. You might as well at this point. Bro our wedding day is ruined. It's not ruined. Don't don't babe. Don't don't get emotional. Don't babe. It's not ruined. He said it is. No it's not. No it's not. It's not ruined. Don't get emotional. It's okay. The day's still gonna be beautiful. You're gonna look great in it. I'm still gonna cry.   Just crying at the end of the aisle. But babe stop crying. It's not. Come on babe. I'm not crying. Then what are you doing? I don't know. Let me see how it looks. It's a nice dress. Thank you. You got a good taste. Thanks. Flex the dress. Let me see you in it. Let me see you in it. Let me button it up for you. Let me zip it up. You just don't have the hook in the back. You know what? You're just seeing all the details already. I want to change the dress. Okay babe. Okay I'm just gonna walk out.  Thanks. I guess you can do what you do though. You still want that water? No. See you when I see you. Are you by folder? Why are you not putting dress in here? Why are you laughing? Why are you happy about this? It's a prank. Bring that for the lady. Whose dress is that? Don't worry about it. That looks like an expensive wedding dress. I did it. I did it. You're stressing me out. So you still feel special?  Team Janice is always gonna be the winning team. So guys if you enjoyed today's video don't forget to smash that like button. Comment down below Team Janice. Again turn your post notification bells on as well. Actually I don't know why I'm saying again. I didn't tell you guys that. But yeah turn on your post notification bell so you know if I whenever we post a new video and that's it. We'll catch you guys in the next banger. Love you.


What's up, Psych2Go viewers? It's Donna and it's Valentine's Day! Unless you're watching this on a different day than it's not. Today, we're going to be talking about how our body reacts when we're in love. A great way to know if someone is attracted to you is by looking into their eyes and seeing if their pupils dilate. This is an involuntary action caused by the automatic nervous system. Neuro-transmitters are released during love. Adrenaline, dopamine, and serotonin all cause pupil dilation. When we're attracted to someone, we also tend to blush. This is also an involuntary response and caused by the sympathetic nervous system. In women, blushing is associated with youthfulness and fertility. It also encourages reproduction and attraction that may be the reason why women wear blush. Ever wonder why sometimes a good hug or cuddle makes you feel better? During cuddling, the hormone oxytocin is released and this promotes bonding and intimacy. Aka, you know that warm fuzzy feeling unless you don't know because you're cold-hearted. And in the event of a loss where our heart gets broken, we actually feel physical pain. Your anterior cingulate cortex becomes activated, which regulates emotion. This leads to the stimulation of vagus nerves, sound in your chest and abdomen. So when your heart is broken, it actually feels like your heart is broken. It hurts. It hurts so much. You know, I always wondered what went through the first human's head. And so when they decided, hey, we should take our lips and touch them together. Not weird at all. Today, the most widely accepted theory is that it allows for us to examine the biological quality of our mates. It allows for our faces to be close enough to examine each other's pheromones. When your body senses threat, it immediately goes into fight or flight mode. It releases the hormones adrenaline and cortisol. And when you're out on a hot date, butterflies or fight or flight mode is activated. Even though you're unlikely to face physical threats, your body senses rejection and embarrassment as threats, therefore going into that mode. So that's the end of the video. If you liked it, be sure to give it a thumbs up and subscribe to the channel. If you want to know more, check out the articles down in the description below. And if you want to see more of me, I use psychology videos too and weekly blogs. My channel will also be down in the description and I will see you later. A relationship based on their personality, what they've grown up with. I really don't see the difference between people anymore as far as like, man has to be like this, woman has to be like this. I think it's all great.