The Nigerian army indicted, used live bullets on end SARS protesters and killed 11 persons and injured 4 persons at the Lecky Toll Gate. The death of Itinu Babalola in Ivory Coast Prison is raising concerns as Nigerians demand to know the real cause of her death. And would I always be reviewing the newspapers on off the press this morning where our guests of course would join us to have a quick review of the major stories making headlines across Nigeria today. Well good morning and welcome to the breakfast on Clos TV Africa. Thank you very much for joining us. I am Osao Gi, a Guamman. And I am Messi Bopu, it's a very beautiful morning and thanks for joining us as always. Absolutely and as always we get straight into the conversations this morning by starting with some of the biggest stories that have made headlines across the country this morning. Of course later on we will be speaking with certain persons concerning the end SARS protest and the report of the judicial panel of inquiry. That's going to make one of our major conversations this morning. But before we get there, let's talk about some of the things that are trending this morning. We'll start in the University of Elloran where a 400 level student has been expelled for something that shocked the whole of Nigeria. I saw the video a few days ago and I was completely stunned. His name Abdul Wahid Waleew who of course has been expelled finally for beating up a female lecturer of the University of Elloran. He had of course, according to the story, approached her because he didn't have something called the student industrial work experience scheme. He hadn't done that and so he had approached her for help and they got into some verbal altercations I believe and next thing you know, the SAS Fiscal Air Salting has eventually collapsed before he was apprehended and has now been expelled. And I'm not even sure what to say to him if I was his parent or if I was somebody close to him because you've done four years at the University and this is how you end up and this is what you do to yourself. All of the time, all of the resources, everything gone. Yeah, I mean it just makes absolutely no sense. I understand there's the angle and I saw a few people mention in yesterday that yes, when we talk about mental health challenges, it's not necessarily for people who are already naked and walking across the streets. You know, there are people who, even in their homes, people who you see at school every day on campus, at work, who have mental health challenges and it takes one thing to trigger it but it's still not enough reason or still not enough defense for assaulting any female lecturer, assaulting anybody at all. And it also points once again to the conversation on the safety of women in Nigerian society. Really, I'm thinking that his expulsion will serve as a deterrent to all the students who would think that they can actually practice this, go ahead and assault lecturers. The thing is you also have lecturers being assaulted and you also have a situation where students have been assaulted as well, so it's a two-way thing. I'm thinking that in an institution, because this person is a human being, if you actually missed a particular course or an experiment or what have you, you could probably still negotiate when can you have it taken. Well, you find out that there are a lot of lazy students these days around, not to say that you don't have the ones that are very serious and committed and dedicated to your work, but you see everybody just wants to get it across with force and all of that.  There's a system in every institution. That's why there's government in every institution. There's government everywhere. The essence you have government is so that we don't have Cures and Anarchy. And so things should be done in an orderly manner. So, for instance, if he's going to say the lecturer triggered, there was a trigger from the path of the lecturer and that's why he reacted. The system already creates means where you can actually address this rather than taking the laws into your hands.  The system on its own has created all of those mechanisms where all of these issues can be addressed and all of that. So it's really disappointing to see that happen. Very, very sad. And sometimes I ask myself, I'll still say that again. We have lost humanity. Did you hit someone like that? She could be your mom. She could be anybody. I can imagine a man at home hearing that a student assaulted his wife. And then so we're going to be having the whole back and forth and then he comes and I saw the student and you know... Yeah, I mean of course those things I expected but of course very likely wouldn't play out in this case. I just feel bad for the lecturer and then also for the parents of the young man who now have to figure out what he's going to do with his life and you know how he's going to start all over from university again. But this is what it means once you've been expelled, you're going to have to start from scratch again in a totally different university, maybe a private university at this point. And if you're in the University of Ellore it means that the option of a private university maybe wasn't there in the first place. So... Is he going to start all over again? Yes, he's going to start all over again. And in situations like this he could also be charged with assault and that is of course a criminal case entirely. So there's so much connected to this. There is those who also mentioned that all some lecturers universities are so wicked and they frustrate students and some of all other. But there's nothing that I've been able to imagine that is big enough or that is that is that painful that would warrant such actions. There's nothing that I can imagine that would trigger a uto-fiscally assault a lecturer. You know yesterday I saw some comment because that generated conversation across different species. So I saw several comments, people saying oh you have done what a lot of us were willing to do and some persons went to disagree that. We never ever talked no matter how difficult our lecturers were. I never thought about having to assault. Up until this moment I still have good rapport with all of my lecturers, the head of department. Yes, I'm not joking. I can still call them up at any time. That was in my mind. So the truth is another point also is the fact that students also need to learn. So at Peraventure, yes I know you're in your final year and that can be very, very stressful to think that you probably have to repeat that entire process. That would be the reason why you have to repeat. Why did you not meet up? What happened when others were doing that? So if you have a valid excuse and if the lecturer says you cannot, there's no other chance. It means that you have to have a career around or probably come up for summer or next semester and that's not a big deal because we have not been taught that it's okay to fail.  There's nothing wrong in failing. It's only when you don't even try. So it's okay to say yes, you have an extra summer to come through for, you have an extra cost to rewrite. And nobody's going to die actually. So take your time and do the right thing. That is something that I've also seen a few people mention that when people have carryovers or when people have situations like this where they missed out on a certain part of the university assessment. Exactly, they don't necessarily... So it may not be the same thing with this C-West pro-scheme, but when people have carryovers that make them have an extra year in school, you don't necessarily need to do that. You can really just have summer programs where people come back, pay a certain amount to university and rewrite those exams and then still graduate along with their peers instead of having them have to come back and do another whole year and have extra years in university. But in some universities the provision for all of that but my point is usually in the parts of the students where they feel like they can't even come back. I'm done and I'm done. Why am I coming back for summer? That's a lot of time. But the point is there's really nothing. If you don't come back, you spend an extra year and it's that hard. Some other thing that I was going to mention, the... Now I totally forgot. The university environment, the whole process of going through a university should teach you not necessarily just education and the course of study because he was studying microbiology, but it should also teach you about life. It should teach you about self-control. But that's the thing we're missing. Yeah. You know, we're really missing that. I'm referring to those people who said he's done something that a lot of us have wanted to do. Why didn't you do it? Because you had sense. You knew what will happen if you ever tried that kind of thing. If you ever assaulted a lecturer in university, especially to this extent, every one of them knew. So it's that level of self-control that they had, no matter how frustrated they were in university. I understand that there's some certain lecturers that are completely evil.  Those things are completely evil and the university system still needs to do a lot more to protect students like that and ensure that those very, very rotten eggs are kicked out of the system. But still, that environment, growing, and going through those four or five years with different random faces that you've never seen before, should teach you a little bit about life. It's a part of your training. That's a very valid point you have actually raised there. It reminds me of the slogan of my university in learning and in character. We need to, but you see the truth is, I think we're more about having the certificate and that's it. So basically, however means you want to get it, just get it and that's it. So we forget about, because that's where you begin to even learn how to show up on time. Not show up late for meetings and all of that because you have lectures at a particular time. Compose yourself. Now for me, other things again that I probably would have learned from my universities were not allowed to wear sleeveless outfits. So it became part of me after a while. I feel very uncomfortable wearing a sleeveless outfit, especially when I'm in public and all of that. So you see some of this, you're very right. But I'm hoping that we get to that point where our universities will not just be teaching us the theories because mostly you find out that we're doing theories and teachers how to leave, live outside of the campus. Live outside of home. Outside of home and live in the campus and all of that and how to survive. Hopefully we get to that point. Absolutely. And luckily, of course, updates on the female lecturer. Her name is Mrs. Ramat Zakaria. Zakaria, yes. And she's of course a lot better now. She's stable and she's back to work, I believe. We'll move away from there for me, Laurie, and move to Oshun and Iqiti states where the APC has declared with regards to Iqiti and Oshun governorship elections that it would cost 22.5 million Naira for candidates to run for those seats. It says that the, of course, this is from the National Secretary for the APC, Ketica and Extraordinary Convention Planning Committee. It says 20 million Naira for nomination forms and 2.5 million Naira for expression of interest forms. Also goes on to say, and maybe they thought that this would provide some level of comfort, that for female and fiscally challenged aspirants, they would have to pay 50% of the set amount and not the whole amount. I'm gonna speak about that later. Why I don't think that provided any sort of comfort because if you are running for the same seat, everybody should pay the same thing. I understand it's going to be challenged, but there shouldn't be any APC 22.5 million. I know, I feel like we're just going to have an hour. We probably have an hour, we're going to talk about this forever. We should talk about it. No, seriously, it's coming from the premise that usually if you look at it, this is also to encourage females to participate. If you look at the participation of women in politics over the years, I mean, from 1999 to 1999, it hasn't been quite encouraging up until this moment. And so usually political parties across the board have decided to adopt that as a means of saying, okay, let's subsidize this for the female candidates and maybe that would also encourage them. In most cases, you'll want to say, I know you're going to argue that with me, that financially you want to say that they don't have that muscle as your male counterpart. I mean, a lot of things will be working against them. That's what you're going to say. I'm not going to say that. Because, you know, people are talking about equality and some of all of that, so. No, I'm saying. We all have the same 24 hours. No, so I'm saying that from that premise. I know you're going to bring up that argument of equality and all of that. I'm just playing. I totally understand the need to encourage more females into politics and participation, but I think it's not just with reducing the amount of nomination forms. There has to be an environment that makes women understand that they're comfortable enough. It welcomes females. Look at the percentage of women who are in the National Assembly. Look at the percentage of women. Are there any female governors? I mean, just so, if you look at it already, you can see the Nigerian political space and the leadership recruitment process. You know, already somehow, some ways, it makes it difficult for women to get into those positions. So it's not just making it cheaper. It is making the environment, making the little details here and there. But you know, we still have the cultural bias and religious concepts. And those are some of the things that need to go on. And it will take us a long time. I mean, looking at where we're from, you have some culture where women are not allowed to be at the forefront and express themselves. But I think if we're being serious, because I've said this so many times that I personally will always campaign for more women in leadership. Because men have failed. And we have, to be honest with ourselves, a lot of men have failed and failed woefully. And I feel like we need to give it a shot. We need to have more females in leadership positions, more females in the National Assembly, more females as ministers, more females as governors in, in some of all these positions. And let's see what the difference would be. Like, all that narrative of, oh, religious and cultural biases. But of course you know that that's a big issue. That's a big issue. How many persons are comfortable seeing their wives out there, you know, being actively involved in politics? I'm talking about active politics. I'm just talking about, you know, the elective kind of politics where they have to go out for campaigns. They have to, you know how it can be very tedious and all of that. I've seen situations where you have commissioners who are cabinet members of different, you know, governments in different states.  But you can't take the fact that that's part of the job that you have to meet people and you're not just going to be meeting males, I mean females. So it's not an assembly of female. You're going to be interacting with the male and female across different parts of the country and outside of the country. And some people can't take that for different reasons. So this is some of the factors. There's few people who have done it, not many enough. But there's a few people who have done it and I'm sure that I can say that if they've done it then any other female can do it. As long as they have the support from, you know, not just their families but from society. That's what I'm talking about. So we'll begin to change that mentality and the mindset until that mindset is changed, until people are able to embrace. I mean, up until this moment, so here we will see what's that. You end up in the kitchen. Yeah. But another thing, you know, I would mention because the main meat of the story of this conversation is really how expensive it is to run for a governorship position in Nigeria. And you can see on the show, say 22.5 million Naira. There is barely any young Nigerian. There's barely any civil servant who wants to run for those positions that can afford that. And that's actually the main part of the conversation here. Why is it so expensive? And why do you need to set that initial hurdle before a person can even drive by for those positions? And it makes people already start to look for where they can raise. Who has 20 million Naira? You saw the statistics with the number of people who are 500,000 Naira in their accounts across Nigeria. It is so poor. It is so poor. And it makes you realize that a lot of people that are living flashy lives, they are all as well broke together. It's a good bit of us. We are all broke. We are all broke. So a lot more needs to be done to encourage more people to get into those positions. 22.5 million Naira seems like it's a lot. We'll take a short break when we come back. We're going into off the press. What lead the story has made headlines this morning. We'll share with you.


Hey, Psych2Goers. In our first video, we chatted with Dr. Mike about the physical and mental health relationship, who to reach out to for support, and how you can maintain or improve your mental well-being. Stay until the end to learn practical tips on managing your body and mind. Thoughts on any resources that might be useful for just the general public to read on about mental wellness? For sure. So I have sort of like, I would say two books that I recommend quite often to my patients as one is an introduction to cognitive behavioral therapy. It's called Feeling Good. There's actually an updated version called Feeling Great by David Burns, great author, great book, has workbook within a book. So you're kind of like not passively reading, you're actively reading and then filling stuff out and learning about yourself in the process. I've read it. I've got tremendous benefit from it. I was actually introduced to it by our behavioral specialist in my residency program, who kind of helped teach us, who helped take care of us when we were struggling as residents. That book did wonders for me and there's some preliminary research showing that bibliotherapy just reading that book alone for mild symptoms goes a really long way to helping alleviate them. So that's one that I often use as an introduction for cognitive behavioral therapy. And then when it comes to how your physical health is impacted by your mental health, there's an author by the name of Dr. Sarno, the late Dr. Sarno. One is called A Divided Mind. And oftentimes if I feel a patient is coming in with a physical manifestation of a mental health situation, common example of this would be low back pain or some other musculoskeletal complaint where I'm like, look, we've ruled everything out. Atomically, you're okay. There is no nerve impingement. The muscles are intact. There's no major spasms. You have good range of motion, but you are having pain. It's not all in your head, but it's happening as a result of what's going on in your head. And that's part of life. That's like what our bodies do naturally. It really stems from the science of pain perception because I think something everyone can relate to is if you're having an ache, no matter what it is, stomach ache, elbow ache, back ache, and you go to a party and you're having fun with friends, I guarantee you you're feeling that ache less. Like you're on adrenaline. You're having a good time. You're feeling it less.  And it's not, again, just all in your head.  It's true. The pain is true. Your body's perceiving it differently. But that's because of what's going on in your mind, in your mental health state. And that's what the book The Divided Mind really dives into as to why our minds do this. Dr. Sarno postulates some interesting theories as to why our bodies do this. Something he talks about is repressed childhood trauma emotions, how they potentially, if they're being repressed and untapped, that our bodies are actually creating some of these physical manifestations to prevent us from thinking about that. And I think there's definitely something there. I don't think it's fully fleshed out yet, but to me it's interesting. It's an interesting field of research. It's an interesting part of reading because I've had patients who've come in with these manifestations physically that nothing medically I can give them a diagnosis on. The MRI is normal. The imaging is normal. The function of it is normal. But there's pain. And then we dive into the mental health side of things and all of a sudden the pain is gone. I've actually had an interesting interaction with a patient. I mentioned elbow pain several times because she came in after three visits with other doctors. Elbow was bothering her. MRI was normal. X-rays normal. Functionally looks okay. Had some physical therapy. No improved. I bring up this topic. She was very reluctant to talk about her emotions. But then we said, you know what? I want to try it because the elbow is bothering me. I asked her to give me a call back to give me an update in a couple of weeks to see how she's doing. No call. So I was kind of upset. I said, you know what? Maybe I should call and just make sure everything's okay.  Why are you upset? What's going on? And she says, because my elbow pain's gone.  Because she says, you know, now it makes me feel like it was all in my head. And we have to have that conversation about it's not all in your head. This is part of how your body perceives pain. If there's some kind of trauma there, your body will act differently. It will perceive pain differently. Your experiences in the world will be subjectively different. And that's normal. Again, it's so important to talk about because it's how the body copes, part of its natural mechanisms. And I wish we put that out there more because I feel like we would have a lot less sham medicine of miracle cures. We'd have a lot less imaging that is unnecessary. And we have a lot less surgeries and procedures that patients don't need, but then end up suffering from because of the side effects of these procedures. If you're feeling good, you're releasing endorphins. Those are natural pain relievers. It's almost like our own opioid system within our own bodies. So like the fact that we feel less pain when things are good goes to show that there's something happening mentally that's affecting this.  And if they say, yes, what happens on weekends? On weekends, I'm off. I'm not stressed from work. I'm having a good time. I'm with my family. I'm happy. Well, why is that if you have a broken bone, if you have pressure on your nerve, if you have a tumor, God forbid, why would it take weekends off? Like medically, it doesn't make sense. So we have to start looking elsewhere and figuring out why it's happening with that pattern. And that goes back to that cascading pathway and figuring out the diagnosis in the beginning. And that's why the mental and physical health relationship is so cool. But at the same time, there's a lot of stigma around it. So patients aren't always open to having that conversation. Some have experienced true traumas that they're not comfortable sharing, especially meeting me for the first time if I'm not their primary doctor. That makes things even more tricky. That's my field of learning where I'm trying to figure out how to get patients excited, motivated and looking deeper into themselves to become more introspective. Right. Mental health and physical health as we just described as we just chatted, it's just so, it's almost inseparable, I would say. Sometimes it's unfortunate that it's quite difficult for people to reach out. And I think one of the difficulties is that there are so many different types of healthcare providers. For example, social workers, like hiatris, psychologists, you name it, that it's hard to know who reach out to first. Primary care. That's why. If you have primary care, they'll help you guide this. The system is complicated. You're so right on this. Even for me, when I have something wrong and I need specialty care, I'm confused. I'm like, who do I go see? I need to start digging into my Rolodex, or maybe even using our references that we use for medical conditions to see who is the optimal person to refer to this patient? Is it ear, nose, and throat? Is it maxofacial surgeon? Who is the best person to take care of this? Because sometimes things are very subspecializing. You don't know who to see. So the fact is, if you have a good primary care doc who cares, who understands the system, they'll be able to guide you if you need a social worker or counselor. And sometimes a counselor may not be enough for the severity of the case that a patient has. Maybe a patient needs an inpatient stay. Maybe after their inpatient stay, they may need an intense outpatient program where they're going every single day to this program. And I've had patients benefit greatly from doing these intensive outpatient programs as well as inpatient programs. But unless you're aware that they're available, you may not take advantage. And the only way you can really know outside of doing a lot of serious digging and research is to have a good primary care doctor and be plumbed in. So after someone reaches out to their primary care provider, presumably it would take some time to actually meet them. So in the meantime, do you have any recommendations on what someone can do to either maintain wellness or to just feel better for the time being? It's so hyper-dependent. It's hard to give generalized advice here. I just think like everyone could benefit from cognitive behavioral therapy. I think even if you're not having a quote-unquote diagnosis, you could still benefit from cognitive behavioral therapy. Because we're all so prone to disorder of thoughts where, you know, I didn't get an A, so I'm a failure. My partner was looking at their phone a little longer than usual. They're cheating on me. Like these thoughts pop into all of our minds. They can really derail how we feel. If you feel a certain way, whether you're feeling down, angry, sad, if someone tells you to snap out of it, they're kind of being rude because you can't really control your feelings. But you do have some control over your thoughts. So if we can attack some of those disorder thoughts through cognitive behavioral therapy, even from the knowledge of cognitive behavioral therapy, it can go a long way. So for everyone, I recommend doing at least the initial reading of feeling good or feeling great general gist and understanding of what's going on. And something that kind of a hack or a tip that I like using is some of these simple, almost gimmicky things, but they actually have evidence behind them that you can do. One is like the letter of gratitude. Basically in the field of positive psychology, it's been found that if you write a letter of gratitude to someone who you're grateful to, whether it's a family member, friend doesn't really matter, you write it out, but you don't send it.  And oftentimes it's an incredibly emotional experience, obviously depending on who you choose, how you choose to read it. And the benefit in terms of decreasing anxiety and depressive symptoms, just by reading that one letter to one person and writing it, there's weeks of relief or at least a slight decrease in symptoms. That's been validated in scientific research. The second one that's probably more well known is the three positive things.  There's slight different variations. You could do three good things with one sentence as to why you think they happened. There's three good things that you can write how you earned those three good things. Like for example, if I say, oh, Bear, my dog behaved well today. And my reason could be because I took a lot of time to train Bear. And that is useful for someone who may be having problems with self-confidence so we can add those little boosters in addition to the three good things. That also has been validated for decreasing depressive and anxiety features if you do it for a period of two weeks. And yet again, multiple weeks after you even discontinued doing it of relief of your symptoms. And again, it's not a cure-all, it's just something you can do that is just a healthy exercise for your brain. Almost how I can tell a patient, you know, oh, walking is healthy for you or movement is healthy for you. This is a form of brain exercise that's good for you because our brains are so attuned to being anxious and nervous in order to survive. And now that our worlds have become safer, we need to sort of retune them back to enjoy this and be happy and be optimistic. And something interesting that my behavioral specialist in my office said to me the other day is therapists call optimism a form of functional delusion, which is funny because optimism is a good thing, right? But yet it's a delusion. And the reason why it's a delusion is because validated scientific research separated folks into two categories. Those who were optimists and those who were more pessimists and they gave them scenarios, short-term, medium-term and long-term, and they tried to have them predict how the outcomes would happen in the world. And every single time the pessimists were more accurate in their predictions. The optimists were less accurate. So they were almost delusional in how they thought the future would go. But the optimists were healthier. They had a happier life during that time. They met more of their goals and they achieved more. So it's like maybe if you're pessimistic you might be more accurate, but then you're missing out on some of the positivity that is life. And that's where that balance comes into play that you can't always be optimistic and fully happy all the time. But you can also be pessimistic because it's going to take a toll on your body and mind so much so that you won't have the longevity and the joy that you would if you were somewhere in between. Any other personality trait typically associated with people leading happier, healthier lives apart from the things that people think of like optimism? Yes, this is really interesting. So we talked about gratitude, right? That's an important thing in order to have a healthy mindset. And there's some recent research that I've looked into about how there's something even more powerful than gratitude in terms of keeping happiness levels up and fighting off feelings of depression or hopelessness, especially during a time like the pandemic. And that's looking forward to the future, like not predicting the future, but being excited about the future. And it's something that I personally experienced and then when I was exploring it with my own psychologist that I've seen for myself throughout the pandemic, I realized that this is actually a new form of research. And I'll give you my personal example. My coping mechanism that has worked very well for me, doesn't work for everybody, was looking forward to the future. So if I had one month in an ICU that I was working and I was working seven days a week, six days a week, whatever it was, people say, how do you function? Aren't you sad? I wasn't because I knew after that month I was going to go play basketball. I was going to be with my friends and I would look forward to that. Or if I had a long hospital shift, I wouldn't be sad because I would say afterwards I'm going to go watch a movie or Netflix, whatever, or hang out there. So it would always be like thinking about the future to not feel sad about the present.  The pandemic took that away because the pandemic, there was no certainty. There was less social communication. There was less ability to go play basketball, especially in the beginning when we didn't know what was going on. And because of that, my coping mechanism was essentially taken away from me and I started suffering. That's why I needed to get help and I realized that. I started working with this therapist and she told me about some research that was being done testing whether gratitude or looking forward towards the future like I was doing as my coping mechanism was more powerful. They started doing this with war veterans. They started to see that war veterans who look towards the future actually had healthier levels of satisfaction in life and less feelings of hopelessness in comparison to those who use gratitude as their strategy. So that also is another area where, okay, if gratitude isn't working for you, the three good things isn't working for you. Try looking forward to the future and that may not always be possible with the circumstances, especially in the middle of a pandemic, but maybe there are small wins that you can have there. For example, in order for me to have something to look forward in the future, I bought a piano and I started, I want to learn how to play the piano or I bought a new game and a video game. And I was like, you know what? I want to play this video game. When I would be working a long shift, I would say, at least I can come home and play my video game. So it's about creating things and finding unique ways to look forward to the future. And again, there's no one way to do that. It's so individualized. That's why it's good to work with someone who is objective, like a mental health specialist or a primary care doctor, because they can not feel the emotions you're feeling, not be misguided by your emotional reasoning and actually just give you some objective data points or objective advice that you can use to help yourself. What do you think about looking forward to the future is particularly helpful? Do you think it comes along with aspect of hope or more like excitement or just another method of social support if you get a deal with people, if we really break it down? There's multiple variables there. You have the excitement that comes with the future, right? That things will be cool, things will be better because you don't know how it's going to be. And when you don't know how things will play out, but you're excited, there's like, it's almost like a form of optimism that you're excited about it. Next is the social connection that if you're excited to see your friends, not feeling as lonely as you might be in that moment. And then the final one that comes to my mind is distraction.  So if your brain, oh man, I'm working this long shift and I'm tired and you keep saying that to yourself, you're going to feel worse. But if instead you're distracting yourself by getting excited about the future, you're changing your hormonal profile so you're working on that neuroendocrine system by like starting thinking about positive things. So you're getting excited about that. You're not feeling and thinking about the moment now, maybe tough to get through. And I think that sort of distraction probably, even though it's the less sexy one of all of them, is probably the one that's most effective. Yeah, I can confirm. I did research on the effects of distraction on pain perception and we found similar things. Oh really? Tell me about that. So essentially we gave people rewards to either focus on a distraction task or to not reward them as much. And then we would have them rate subjectively. They're pain perception when we would give them kind of like a hot kind of stimulus. Yeah. And of course they would rate the trials where they were rewarded more to focus on a distraction task as less painful that we shout out to. That almost reminds me of the ice water test, right? Yeah. You have people put their hand in ice water and you say supportive things to them, as opposed to like grill them or like heckle them. They'll spend way less time in the water. So like imagine like essentially, if you're in a tough day job, that's like your hand being in the water and you thinking of how bad it is, is you heckling yourself. As opposed to thinking about the future, is you basically saying supportive things to yourself. And I think that's where like you get a lot of the benefit. Right. For sure. I think we established very clearly to the audience as well that mental health and physical health are just inseparable. They're so closely related to, never hesitate hopefully to seek out for help to your GP first if needed. And so I'd like to just finish off by asking whether you have any pieces of advice for the Psych2Go community or the community at large. Psych2Go is I think an important point is if you do end up seeking help, there's a couple of things that can go wrong when it comes to mental health being tied to physical health. One is that your doctor or whoever you're seeing the provider might not take into account your mental health. And that's a failure on the medical system. And there's a second way it could fail, which can happen but is rare, which is where they blame a lot of the physical symptoms on the mental health side of things without fully doing an investigation of the physical health. Because it's very easy to have a patient who is battling with severe anxiety to come into a medical office because I've seen this happen and say, doctor, I'm having back pain and I'm really worried about it. Something's not right. My back is killing me. And for the doctor to write that off as a symptom of severe anxiety as opposed to investigating it thoroughly. What a good doctor does is take into consideration both factors, make sure that your doctors are doing both. They're ruling out physical manifestations, meaning they're doing a thorough history. They're doing a thorough physical exam. They're doing lab work or imaging as appropriate because if a patient comes and they're feeling down out of nowhere, nothing changes in their life, I should be ordering a thyroid test to see if there's something going on with their thyroid. I should be checking if they have an issue with anemia, like physical manifestations of that. And once those are ruled out, we can address the mental health stuff and then say that we suspect that it's due to that. We could also address the mental health stuff simultaneously, but you can't solely blame mental health until you rule out the physical health because unfortunately, we only have one physical body. And if you start ruling out chest pain as just, oh, it's just anxiety, that's the quickest way to have a patient have a serious heart attack and lose their life. We really need to be attuned that it's mind body, not body, not mind, and not get overly focused on one or the other. Thank you so much for your wonderful insight, for your time, and for sharing your thoughts to me and to the Psych2Go community. Yeah, thanks Monica. If anybody wants to watch, I have a few videos on mental health and trauma that expand upon all the stuff that we talk about on my channel. So go ahead and check that out. And as always, stay happy and healthy.


Thank you. So just to start off, especially for the people, all the folks will not assume a lot of data science knowledge. In fact, it seems no data science knowledge. And though I see a bunch of you that I actually recognize, that you actually have a really good data science knowledge, we're going to answer that. That when I look at the collaboration, the chance that you're going to be able to create a bunch of soil online like data science is here, this is a big place for a lot of people to understand that. That's really what we're trying to do in this department. So I'm going to talk to you a little bit. The unit data science is, and I'm going to talk about how does that compare to these terms AI and machine learning? Because there's two parts that really show it's AI, but what does that really mean? How does that really compare to data science? And then in the afternoon, parts of the unit data science. We're going to explain how this kind of spin and give you a lot of a little bit. So I'm going to start with data science. So we're going to have a discussion about what data science is. We did my 67th introduction to data science class in June, and it's good to have a review because it's been Xamarin a little bit. So, I think that's not so bad. So the problem with data science is it's a new data science. The problem with data science is it's really this actionable insight. If you take data, if you come around and you don't find it, you don't have to jump into something that's large that can be reserved for the people that come later. So the problem is to generate actionable insight. To use data and have it in a way that the organization can bring it to that insight will have to give it to you. The disadvantage of just getting data or having information. If you have information that's useful, but you have to have a few of those synthesized things. You have knowledge that you can get out of trends, like sales are going up over time. So there's no other way to do it. The actionable insight, we'll talk about different examples of what actionable insight is. That's really valuable to find a sheet. Using data to create a science. And here you can see that data science is being a combination of three different disciplines. So we're going to start with data science. We're going to be in high school and we're going to do a lot of high school and junior science. So data science is programming. You don't need to have a knowledge. You're going to need to talk to people that really know. You don't talk to people that really know. You might throw a certain source of insight that is fully irrelevant to the actual prospect of development. And then finally, we can do some math. Data science is not going to be a high grade. Even the other level, how do we do this?  So I thought I'd give you some examples of what I know just to kind of give some context to what it is. But the first one, I don't know if it's everyone, maybe I won't talk about this every day anymore. So how great it is that there's lots of different questions and other outbreaks as well. And there's a whole lot of data science to understand how that will spread. So how people will say it's important that it's important that it's critical that people are still studying it now. And we all know that it isn't just to say again, there's many people involved that might be helpful for some people. But it's what the projection is. How many people will get this disease next month. And that's actually much more useful because then you can do things in terms of accounting for the last bullet or whatever it is. You can try to have something useful for the person who doesn't get it. So five elements. Five elements is focused on understanding, for example, where they're going to. And again, we have to actually know it's not just well, this may not be related, it's basically one of these synergies in terms of what it should be. Which is true. But that's not an action, but action must be made in a period of time and what do this mean to the environment going forward? What do you mean by that? What do you mean by that? But that is a broader level of illusion and things like that. So we're probably going to need to find just data, which is it's warm, warm, warm. What does this mean going forward and turning that into actualness? And I want to understand what the representation is. So thinking about it from another perspective, we have a whole conversation about it this afternoon. So what is open data? Being able to look at the people and how might that be useful? So I won't talk about that a lot because we're going to have a whole discussion on that later. How that works, I think that's all about values and which ones are useful and which ones are not useful. The thing about different treatments and different diseases, there's been about symptoms of what disease you might have. And again, it's not about having any particular diagnosis about having all of this data and you need to have some sort of information to make a prediction. So that prediction might be or can go to your home and you have to keep it to be answered. That's actually what we say. Other ones, we're going to use so you're going to be going to be going to be at 3 o'clock or 3 o'clock for baseball games. So another one is to use all of sports. It's used pretty much across from sports to changes to playing with somebody's shoe runner. How do you evaluate people? That's actually not just in sports. You think about how to evaluate people to hold you over HR. It's about how to be used in kind of any field. In various analysts, it's probably the most broad use, broad area of focus. So this can be anything from predicting cells, understanding what will generate better cells, understanding what aspects of your product you're going to be able to tell what ways people are going to know about it or not. So having an accurate insight is definitely a good thing. You've all seen it in previous, so I'm sure you've already got that picture in your favorite streaming video. And all of these platforms including things like Tic Tac suggest what to do next. Right? And the best way to do it is you can choose different things in different platforms. So engage in an event and buy something. Engage in that place and just watch something. You can take that and also actually watch something or just a different type of watching. And you can also actually provide insight. Now if you take a step back and say is that actually an insight useful for you as a consumer, or a consumer, then you have to engage in a platform. So there's a great representation. And to some extent you prefer to be suggesting things that are interesting. Like if it's going to be a bad suggestion to do nothing, it's a platform at all and you won't like it. Now you have to find out if providing you something that's interesting, providing you something that's different. So I think that the challenge is a big model of what you're useful and what you're being used and you may not have a product in which case that's an example of that. But at a higher level this is actually the insight and it's not used, it's helpful. But I appreciate it because I actually have an effort to address something that's helpful for the person who's trying to figure out what I actually find. So this class anything? Like I said, it's not the other way. It's not the other way. It's not the other way, but it's probably the other way. So if everyone has the ability to collect data where many things happen and something can be used to collect data you can really try to figure out what actions you can generate. It's a class of four examples of what is the business problem, what are you trying to achieve. And the connection is this action always. And that, the invention is what data science is. But if I mentioned my goal here in a very short amount of time is to give you a higher understanding of data science, but also a machine learning in AI. So there's a lot of terms that people are similar to each other but they're not fully interchangeable. But you can see that there's a lot of data. And that is the part of what people think of, and that's what they're using interchangeably sometimes. But there's a lot of data on that but I will also try to explain what some of the differences are. So one of the key things that you can see is that the data science you can see is the end-to-end process of kind of collecting data and generating actionable data. The machine learning really connects to the AI you think it's that way. And that focuses on a very disparaging model. But if you have the data and you're trying to really focus on how you can build an algorithm or use an existing algorithm to generate this predation. So it's like a key part of data science. But the part of that we're not going to go hate-knowledge is not about machine learning, but hate-design. So that's one way to think about the difference. And then there's the AI which, obviously the AI isn't going to be used in the world at least. I mean, I'll talk about that. If the AI uses machine learning, it can use other contexts. So a algorithm that walks is definitely considered part of the AI. This machine learning because the way that we're about to learn is to walk is machine learning. It's springing out that if it doesn't lift up a leg, it's going to fall down. But it's not really part of the science because it's not one of the mechanisms that is actionable. It's really different. The vast majority of people will think of like a way about walks. They're self-driving cars. It's being very much AI, very much machine learning and not in real science, but not as much here. I kind of want to say a couple of words. But here you kind of see that the third thing we have here, so using the right algorithm is generated in your action. Well, it's idea of how you can create that information. But I think that machine learning is one of the amazing arguments that is similar to your actions to your intelligence. But if I want to actually work inside of your network, I think that that is human intelligence. I think that that is a very good model for the human intelligence, but not really about human intelligence. But here are seven differences. And one of the things about it is you think about machine learning as being free, as self-serve, or as AI. You think about it as part of that. But what I'm going to talk about is machine learning. So what kind of machine learning is called deep learning? So deep learning is a little bit of a thing, that means, for a long time. But it's only going to be used, if I'm going to say it, for about five years. And we've had a huge impact. So what I show on this track here is a speech recognition. So Alexa, we don't know if they did device. But how many systems were there? And it took a long time for them to get here. So for many, many years, you can see down here, the machine could get like 75% of the conversation. Which is pretty good, but not actually good enough. Here it is, about 95%. So what that means is I've been talking here about learning five percent of the time, but you've not been able to do anything that you've been doing most of it. And often, until deep learning happened, the machine would be able to listen to me, it got like 75%, whatever you say. That's not really useful in the tree. That's the way we introduced the field of speech recognition for the change, where over two or three years it equaled tunes, so machines using deep learning techniques got like 95%. And from 2018, I think that before we actually got better, now it's just, back in 2020, it was about 97%. So machines can understand now my conversation better than any of you. So that's key to learning. And I'll talk a little bit about what it is, but it's a type of machine learning, that's usually where my work's kind of in some sense trying to simulate how your brain works. Basically, learning and learning things you can learn about with deep learning. Deep learning is really useful. Deep learning is also really useful in self-driving cars. So here's some examples of where deep learning is used. In addition, I mentioned skin cancer protection, so that's also a deep learning. So it's a way that this makes us for a specialized machine learning algorithm, called deep learning. So deep learning is used in machine learning algorithms. It's specialized. It's more than simply using what's kind of new. There's no rest which is how your brain works. So I want to talk about real art. Real art, because that's how you do it. What are the others? How many people go for the Gini? Or like, yeah, don't worry about it. I did my hand right here. We're charging P2. Many people are going to charge P2. Actually, we are. So we've all heard of charging P2. So charging P2 is an implementation of general AI. There are other implementations as well. It's the one that people have been started by recently. People have used the most people in the world against. But the way it works is through general AI. So the algorithm that Gini uses in the Gini algorithm Gini algorithm is a deep learning algorithm. It's part of machine learning. So when you're using charging P2 you can think of it as a visual target but it's stated in the conversation. So it's like a person if you know. It's definitely a machine learning because that kind of knows the answer to it. And it's not using a general machine learning technique. It's using a new language that we can assert between general AI. General AI can use across many different areas. So that's generation. That's charging P2. In this generation we can actually use value. How many people have to change value? So in the center sense. I'll give you an example of that. It can actually be used for really a generation. It can be used for tasks. So it can be used in many different ways. I'm not going to get about where it is. So I just want you to understand that general AI is probably machine learning. It's probably the design and it's also part of AI. So we can be talking about what is the AI and we can be talking about the data science. We can talk about it in the area of time. It makes it very similar. So there's charging P2. So we have a model that uses a model that uses models are very large. These machine learning algorithms these neural networks, you want to think of it that way. There's the area of the work. They're so large they're only in companies with vast amounts of computer power to create them. So we can create, you know, in a laptop or in a smaller machine you can create a smaller model but you can create a smaller model like that. It kind of looks okay. But if you want to be as charging P2 does you need lots and lots of computer power. Like lots of it. And so we have companies that use hundreds of millions of dollars to make them that much. So that's why Google has it in Microsoft and many of our companies can work to invest lots of money to create these machine learning models. But in some ways they're just machine learning models that are machine learning models like that. And all of these are generally AI. Similarly, there's generally AI because the way the models work like in the language conversation part I'm going to say let's say that all of us, if it's with the next one should be in a conversation. So based on the entire internet that I always do just text data a lot of the internet data is text data. And especially with that we kind of realize that oftentimes we're going to be following the problems we're seeing in the entire world we're walking that forward that. So, what's that part of what we followed what we're doing in one concept follows the next concept. Because we need to ask chat, if you need a question they want to understand what you ask in the way that we should think we understand. What it does is it knows that question knows that set of tasks and it knows big how to do them what are the types of hits So it's not always any question person, but it's no question enough to maybe realize what an inertia is. But some people think of that as understanding the question, because it's very insightful or anything. But it certainly doesn't understand it like we think in conversation. So here's an example. So it says, some people like to picture some people. This was generated in a generative way. So this one actually, I don't think it was value, I think it was a different program. But value is what you can get from each other to be in the same company. There's several others. And what you do is you describe the picture here as creative. And it increases. It creates a lot of pictures as well. And the question is, is this art that person created with human instructions, using art that the value of every other model is created? Or is it actually owned by all the different pictures on the other hand that were used as input data to create this picture? But then who knows how good that is created is not an easy question to answer, actually. Some of these questions make a lot of perspective. And then this one might be a conceptual question. How do you think it moves this? So in the next few years, people will kind of face this a lot. But then actually, this picture will actually come in the artist that you will want in the world. And the question that's, is that okay? The competition was in part number 21. I don't think that's the question. It's actually, in general, a computer-augmented system is important to continue creating this question. I think people have faced this before. Almost everywhere. That's good. Finally, it's probably similar to which ones are real and which ones are not. So it's a five-period. So why is that not easy? There are things after this and lots of new ideas. If you look at the years, most of these are not real. If you watch these, or if you pick that most of them, if you watch them, you will get which ones are real and which ones are not. So the problem that you have, if I give you any more questions, the great problem is it's not going to have to find, do some interesting things. Have people maybe do things that they need. But the problem is, like, maybe some crews, let them want to say some of the things that deepfakes are having to say. No, definitely, you don't know which ones are real and which ones aren't. Just because some crews in the video sets use the real found crews, the better one is the real found crews. So in the video, you just view a deepfake found crews. You'll find a whole bunch of them. And then you can find them wrong by actually looking at movies, for example, to treat them. And you can say, like, they're going to be unrealistic. So you can do it completely, you can do it for politicians, you can do it for sports players.  Find a discreet with somebody who says it's not find a discreet with somebody who said they didn't even say it. But if you know why, just say it to them. But you need to understand what they are. So that's a little hint about why it's hard. But I've talked a little bit about the difference between them. But I don't know if that felt like why. Why is it interesting to do it in a speedy way. And I think it's a very simple little example. But here's a statement. I started out in the middle of the public space. Pretty simple statement. It's two, four, six, I think nine or ten words. But I don't use this. I started out in the middle of the public space. And I, if you can tell, is good. That's pretty simple. Back in the middle of music. I started out in, that's how people say it here. No, no, no. The official phrase could be either. You have to know about your context around it. That's how J.I.R. works. You need to know your context around it to figure it out. You can't just say the same sentence. It's way more like, you know, you just figure it out yourself. And I did it to kind of, find these two things, one inside a full volume. Which is the chapter you can write down for ages. You can use it. And then, there are values like, which one is better interpreted. And you can see the kind of, this one here, this is the one I'm filming on a hill in the town of Skil. This one. I don't know. I think you put a Muslim in the town of Skil. You've got that here, It's a good man on the hill, so it shows one scenario of the others, probably because the English language across the entire web of internet, that's the context that makes the most sense. It's used more often. So the other things to kind of be thought about as we use these techniques and technologies and approaches, lots of examples of big companies and things that they didn't have done. And a lot of point out about the other points, not the specific article itself, sort of about we use an animal to find a lot of other things as well. It's not a point out that I guarantee you it really does not want that kind of thing. I guarantee you it really does not want that kind of thing. It's not like they say it's a big sentence, but actually it's not a sentence. That's not what happened. They say it's just big things, and they didn't only say it's something to deal with about how biased they can be. And if you're really talking about generally, there are a lot of different machines that all work on data. And what I didn't say, what I should have said, is that data is biased in any way that the model would be created by. And so understanding where things have challenges that create a very general environment where they couldn't get really good feedback or maybe it's a little bit complicated like me, they didn't put that thought about how they think about understanding that my data is biased. In addition to bias, there are other things that we can do about it. Is it fair? I'm just going to focus on this one over here. It was hard to be fair, you know. I hope people are able to see what it's all about, stuff they're understanding on the point of view. And they placed things differently based on where they live. So when you look at the model, it's 5% right if they were in high up. Not because transportation is more or less expensive, it's just they think people in New York will pay more. Is that fair? Good question. I want you to come through. And if you think about it as fairness in a couple of different dimensions, then we've just been fair for pricing this English. I'll give you a shout out for being a lawyer, but it kind of helps you understand different definitions of what needs to be fair. So we can make plans and we can say, for example, that we're going to be fair to different groups, people in Ohio and New York, for example. But what I mean is, laws today are the same with different states, I expect. We're going to do this 67% for people in Ohio, 67% for people in New York. So it's going to be a fair fair. Another definition is, I'm going to say, if there is an 80% chance that person's going to be fair to everyone in the world. So that's fair. Because everybody has a point of action when they live alone. There are not many guys. If it so happens that if you're in Ohio, and you're going to have a better record of what they're going to pay your loans. Well, I don't know. It's a result of information that we're going to share because we're going to just use the expected payment. But this one. The better one is, well, I don't know, just because I'm from Ohio, it should give you a better revenue or a richer advantage. But maybe I won't pay back the expected rates. But I don't know, just ignore the fact that where you're from, obviously it's where you're from, Ohio versus New York. It's other attributes that might be more distinguished by this. So anyway, two of the definitions are fair. They're all fair. Just in some contexts, some are more appropriate than others. Some are more useful than others. So if you think too much what scenario it is, it's not just a question of, one of these is that I thought we should talk about. It's not there. Any questions? Yes. Back to your hierarchy chart. Yes. So between the stream learning and deep learning, is that deep learning really a subset of neural networks? The question was deep learning and machine learning and running neural networks today. So we're going to kind of run through the question. Yes. So I would say that's very much all of this machine learning and that neural networks is a class of machine learning techniques. And then the thing that deep learning is a class of neural network techniques. And JVRI is a class of deep learning. So what are the nested, if you want to think about it, the fire, which I'm waiting for. If they live in the library, they live in the library. And that sets out each other. I have a question from online. Person wrote, given the extreme probability of a deep base, it's Gen AI is improving rapidly. Is there any work on non-recudation techniques so the real people can be verified about benefit when seen or heard? Yeah. So that's a good question about everybody. But I do have a question about deep-based and potential issues. And it's not just visual, right? It's even just trying to be included. All three of those things, they might not be true, but might not have said it. So you've got a lot of work to find and understand how to use AI to develop AI. That's one of the topics. The third topic is learning, because you can use a box where you can kind of check on box. And so I don't want to say what it's like, but you need to be aware of that when you're in the research area. Yeah. So I'm just wondering about the diagram where you have three studies, data science and AI, on which you learned one of the studies. And I was wondering if we have an overlap between all three. What is that part that is not AI or what you're learning in data science? So if you actually look at the definition of data science as a phenomenon, that is, what is that? I think that's a fair question. So that part is what people typically think that this has to be our part of the data science life cycle. So things like understanding the business context. If you're just learning a machine learning algorithm, you're building it across more than one user. You're not really focused on a particular domain context. But when you're learning something in data science, you have a machine that's specific to many contexts.  But all of that is because data in the data science project is often here. Then you use a machine learning model or a multiple machine learning model to make some predictions. And then once you have a machine learning model and you have to put that into a way that more and more people will understand. And that actually validates how accurate it is. It's not just that it works or whether it works but that it's not an accuracy, because it's useful. But all of that works around looking at how accurate the model is in the context of how it's being used. But how do you explain that to kind of like the users of the model? But how do you actually respond to that in some real old scenario? All of that stuff is definitely followed in data science where the machine learning has actually got created with this model. But that's just a very long time to start with this. Yeah. We also face the opposite problem that, for instance, something that was human-creative can be said that it was AI-generated. Yeah. So that's actually a big problem, which is that's the hardest time on the entire world. So the hardest time for me is when I say I know my boss or my professor said he would be right there to do that but I really would. So it's that kind of issue that they come in two sides of the coin. Which is, AI is language what kind, human-generated versus what a human-generated but where is it important to understand that distinction? And where is it not so important? But when AI is coming together and really asks me if I use the spell checker if I use the spell checker, right? The first one, if I do the AI-generated I just take a tour of everything else. And that's generally how you use this spreadsheet to do some equation. And at the same point, you're going to effectively say what is acceptable if we use these two scores? And the other is not acceptable but we have to like set speeds. Very loosely, I don't understand that yet. So it's pretty much on both sides. It's definitely an issue and all they do is you didn't actually create that. So you don't have that issue. So we're following up on questions. So both of us that are here in the middle what is our reinforce today? Does it disclose everything or what approach we use? I just had an article that somebody sent to me and they said we need to cut this down to a thousand words because that's all they said. Right after Jeff, he said we need to cut this down a lot of this and probably just make it right back. Yeah, so that's very nice. We're going to hear that in Zoom or whatever. So somebody had a challenge of a lot of other people who needed to cut down to a thousand words. It's hard to do that but you know what, touching between these people really means that. Especially if it's not acceptable. In many cases it's probably acceptable because taking your word is just inside you. It's not like it's clear where they're going. So I think in many situations that's going to be fine I don't even need to be weird because the other thing that is there are bad models often is creating things and they're not telling you they're creating things. They kind of just pretend it's bad. So if you're giving it often that's what you're doing but if you're doing the kind of example I'll create an example. Let it happen that doesn't exist. You've got back in the world you didn't ask the reference system to reach your fingers that they were but I don't even know that paper I don't think I read that I'm talking to you and you're just going to stand and say I'm not going to cut it off because I'm not going to buy it at all. That's actually what it has to be and it's actually doing this now I think this is true that everyone has it's back. So I wouldn't be telling you that But I would definitely have to read it over with the fact that it's actually in the case of one of these submitted things. So read them, and like at least read them personally, then it's okay. Yeah, last question. Yes, from what you talked about in the real world. And you spoke about actually inside it. Yeah. And you also said this means like they gave you something and they recommended, for example, an ambulance. So how do you control the addiction for those things? And then like things of, for example, you know, because they do recommend you to know that you watch a lot of, you know, things of videos about how to create things. You click next, it takes you to another thing where you walk more and you just keep going. Yeah. Yeah, so the question was, I don't know if that's kind of a word or anything, but I understand kind of the suggestion part of the suggestion. That's a kind of, that's a hard question. That's sort of the side of this. In the intro, I think that's an active research question. Maybe I would say that. The first part is to acknowledge that that's the world that I live in. Because we've been trying to do this together and it's not doing knowledge. They're analyzing people with knowledge. I thought it was a lot of questions all the way about it. Large language model is so bad at facing math. There'll be the right audience. So no matter what you're trying to do, especially when you're pushing people like basic math, it has to be kind of just the way the model is constructed. So what I would say is those challenges are being improved. So if you ask the math question today, it's better to do it. I'm sure you can say that. I see that in the math plan and I want to kind of explain the next topic, which is, why don't we do that to raise some of the questions that this came up? We'll make a transition, but thank you very much.


Hey guys, welcome back to our channel. My name is Andrea with food inventory adventures in food And I am here today with a really quick Costco haul I went in for a few things some things. I found some things I didn't but I wanted to share it with you guys anyway I spent a little over 103 dollars, so I will jump right in so the first thing that I really wanted that they have on sale Are these bounty prints? I love a printed paper towel if I could have printed paper paper towels for every single season I would but these were on sale for 15 dollars And I'm just going around here to decide to show you the prints that are on there And then they had these beef mandu on sale Howard and I really like these a lot and they were on sale for I think 7.99. I Have seen this ramen soup Every time I go into Costco It is in the refrigerated section and these were on sale for four dollars off Or this I should say was on sale for four dollars off and it ended up being 7.99 And it comes with the ramen noodles the broth the pork and the vegetable toppings and Howard And I really like ramen, so I hope that this is good got Howard some avocados I think they were for 49 and then I have heard about these breaded chicken breast chunks forever. I heard that they are very similar to Chick-fil-A. I love Chick-fil-A's nuggets now I have tried the ones from Sam's that everyone also said was Very similar to Chick-fil-A. Howard and I did not like them at all. They tasted like pickles to us These I heard do not taste like pickles and if they really do taste like Chick-fil-A These were 14 something a bag when I was there. There's a woman that put four of these bags in her cart So I am hoping that they are good. We needed some clean eggs. These were also on sale for four dollars off I think they were about fourteen dollars box and then these zip-lock bags were also on sale just the court-sized freezer bags, and I think these were 9.99 after they took I think it's four or five dollars off and Then I also needed some air wick essential oil refills These were also on sale to four or five dollars off. I can't remember the price I've heard that this queso is really good, and I love queso So I grabbed some of that and I do love pickles. I like dill pickles I do not like sweet pickles or bread and butter pickles. These were also on sale. They were two dollars off I think as well, and I think they were for something For this container of pickles, and I heard like I said that they are really good, and this is what they look like All right, so this is everything that I picked up from my super quick super tiny Costco haul There were a couple of things that I was looking for they didn't have they did not have the Charmin toilet paper They were completely out and I was also looking for the foster farm Korean style chicken wings that I absolutely love And they were out of those as well. They had the other flavors, but not my Korean barbecue All right, so this is everything that I picked up I hope you guys enjoyed this quick haul if you did please make sure to give us a thumbs up And if you have not subscribed to our channel, I certainly hope you'll do so Thanks so much for watching and we'll see you guys next time


Alright, man, I'll give credit where credit is due. Daun Shin Zhao has conqueror's hockey. One of the rarest things in existence, supposedly. But ladies and gentlemen, welcome back to the channel. My name is JackTheBus, and we continue the chaos that is Dressrosa today. Law is in a deadly game of tag with Doflamingo, and somebody is attacking Sunny with an acid trip. That's the best way I can sum up what's happened so far. If you do the channel, make sure you drop a sub so you don't miss any more of the chaos, and let's hop into it. Tatakai! Who's gonna win? Oh, I wonder. So what happened to the funk brothers? What happened to Bobby? I actually do, like, Ideo's design a lot. His name is a little hard to say, though. His design is sick. I didn't know when that pose was the most threat to Lucy is Daun Shin Zhao, but I still don't think there's any chance that anybody else wins. This... man, he's really grown attached to this helmet. Like, actually. I thought it was kind of just a joke, but no, he loves it. But he's gonna just keep it as part of his, like, permanent fit. He's just going... I kind of like this character concept, though. He picks it up and then just, like, throws it at max speed. Oh, no. He's exposed! What? No, that's Lucy. Charitable donation is him throwing four at a time. I can't, bro. That's a cool, like, technique, but you kind of have to defeat some people before you can even use it. Oh, my gosh. I almost feel bad, bro. Yeah, there's a lot of weapons you can steal. None that you're gonna be Lucy with, but sure. How many are getting eliminated this time? Oh, shh! Yeah, where did Bobby go? They, like, they, like, fuse together like Dragon Ball. What did he see? Wait, did they actually fuse? No shot! Two in a coat? They put on the batars! What did he put on? We got my toes curling. Here he is. He put his skin on? This is just wrong. Put me on, brother. This is so weird. This is how they do it in Dragon Ball, actually. So it's Bobby's body, but Kelly's, like, strength and just anger and determination. Jacket jacket fruit. Okay, I'm sorry. You still stand no chance against Lucy. True. Oh. Bro, that is crazy. Bobby's body is insane. I guess that'd be Kelly's, technically. It's Kelly's skin. He has to get revenge for his brother. Oh, shoot. Oh, shoot. He's pissed. I don't know, bro. Kelly Funk is kind of a beast now. Bay Z, actually, is a warrior spirit. Depends on his blade breaks. How many times can they use the rah-rah rampage shot? No. Oh, my gosh. Damn. But he has no emotional weakness. He's jumping on his fists. Wait, this guy's crazy. He sees him as a support, not a brother. Yo. Ilma. But he went crazy. Okay, Si, you a warrior, man. I respect it. You're not winning the sermon, but still. Hell, yeah. Jumped on his fists and then just slammed him. He did gum, gum acts. His buddy, Hisoka, he's getting turned on by strength. Eight impact fists is kind of cool. He used it in his foot that time. So Kelly Funk and Bobby Funk are done, I think. You're the strongest in the sport. Have you seen Lucy? I won't disrespect Si. He is a bit of an opponent. It's like shadowing Iteo, like we don't know who he is. And I was like revealing him. Oh, my gosh. Bro, the language, out of nowhere. It was so random. They are straight up just leaving Sunny. Oh, no, they're running from the submarine. Sunny is ruined, bro.  So it was literally just like nullify their escape. I want to know why they want Momonosuke. Ah, they're trying to distract them.  Is Nami fighting back? Finally, fight for your ship, bro. I mean, they should have just abandoned ship. I know it was like to lead them away or try to, but still. Oh, the submarine just like destroyed. Hell, yeah, Nami. I can't get over chopper, Minecraft chopper. I mean, she just took down the submarine. You get back in there. Oh, my gosh. Oh, my gosh. Oh, bro, imagine kid right now. He just steals the entire thing.  That is actually hilarious, though. He goes crazy. Actually, the kid is John's number one rival. His number one full counter. Kid to John is like a Luffy to Inoru, bro. Straight up wouldn't be able to do a single thing. Bro, I think everybody knows. I'm sorry, man. That's just going to... Okay, I was like, yeah, that's just going to kill people. Let's get the cannon fodder taken care of. So much money. Last two years, thanks to you. Wait, what? Captured prisoners who you set free. Buddy made money off of Luffy's jailbreak. You're going to hunt down even and shirry you. You're serious. He's running out of swords and stuff. How is he wasting this? Wait, level six escapees that they didn't announce? Oh, shoot. Wait, who could that be then? Oh, I feel like that was like a slight tease, low key. He's not even a single one, and this is like Luffy's biggest weakness is like a sharp blade. That observation hockey go crazy. It's Joe! Holy s***. He's actually kind of terrified. They hit him. He just took him. He's so quiet. Oh. Oh, you got his helmet. Oh, shoot. Oh, well, rip, John. Rip, rip, Mr. Cactus. Luffy just grabbing the helmet and walking away. Jin Zhao is a unit, bro. I actually like his design a lot, but he screamed like goofy. Kind of a cool fight, the fists matching each other. This impacts, yeah, I like that a lot. You can feel him. Bro, what is Gyat saying? He's actually bricked up by power. Luffy's got his helmet back, though. That's all that's important. It's setting the fight between those two, and I think Luffy and Jin Zhao. Time to face the music. Gotta fight eventually. Took his fortune away. Took away my power. What? Talked to my grandpa. Punished him by killing his grandson. God dang. He wants to be there so bad. Even Bart's disgusted. I just want to know what's in Bart's briefcase, bro. Oh. Luffy's locking in. Lucy, sorry. He's about a one-shot Don Jin Zhao, I think. He's taken him seriously. We haven't seen him do the pose in a while to do it. He's been entering second gear by just pumping his legs standing. Bro! Jin Zhao, he's entering ultimate form. This could be a firefight. Yup, here we go. I don't have a feeling he might actually just one-tap Jin Zhao. No, there's no way. He is Conqueror's. I mean, he kind of did body him outside of the arena. Hey, guys, get out of the way. It's kind of cool, though. He's knocking on the side. That fight is like nothing to them. Oh, shoot. Oh, shoot. Oh, shoot. Minahaki, meaning arm of Minahaki. He matched his punch, though. Everybody. Even the fish to Conqueror's hockey colliding. Dang. Oh, my gosh. Ouch. Is that Diamante? Watching? Those like his face markings. Kevin, it's just like maybe I don't want to be in there. His bottle of wine was falling over. Oh. Yeah. I bet Jin Zhao's still standing, though. Actually, he's going to prove to be a little bit more difficult. Maybe I counted him out too early. I mean, until I knew he had Conqueror's hockey to be fair. Everybody. Even they got knocked out. Everybody but them. Dude, they wiped the battlefield. This goes crazy. Blocks. Two left. All right. Like I said, I might have counted Don Shin Zhao too early. I was like basically said that I was waiting around for Lucy to win this. But that clash was insane. 647. What did we actually see? I just like characters built like Don Shin Zhao. It is so cool. King of the Pirates, baby. Yes, sir. Spit. So many New Worlders who can use that power Conqueror's hockey. Yeah, I figured. Strongest among Conquerors. That is sick. I mean, he's not counting Luffy out though. He's saying you'll have to basically face everyone else that matches you if not trumps you. Mmm, good question. Really? Yes, sir. A live and well. I hope he's doing well. I like this conversation between them though. You mean you're holding a grudge from the past? Is he crying? What? What? My treasure. Oh, the one that garb took from him? Sorry, I don't know what to do here. I don't think Lucy does either. They're holding each other. Oh, what? The drill? No, can you just tell us, bro? Inter-pack story? Yeah, no, we know. Just don't know why, to be honest. Dun ching-chow. Brother. He's still crying. Saaji and Kinamon. A welcome surprise. We've been at Colosseum for a minute. Oh, they're getting a little update on the fight. Oh, they're all waiting. Bro, they're spawn camping. That's shameless. Slaps him. And they saved you. Also, they're going to try to sneak in. Who is that? That's a big boy. Navy Vice Admiral Bastille. Shark Slicer. I like his helmet. That's cool. I thought it was another admiral. The one that replaced a kinder. Because they need two. They have a freaking e-show, but Aokiji and a kinder. A kinder's fleet admiral and an Aokiji, you know? Lights out by midnight. What happens after midnight? Toys have to go back to their toy houses. Do no humans and toys like live together? That's rule number two. Oh, must not enter humans' houses. And humans must not- Oh. What? And what happens after midnight? How did the toys come to be? Yeah, that was an important question. Hmm. It's like he's hesitant to tell him. Oh. Got human disorder? What? Wait. It's talking like he knew her. Are they like turning humans into puppets or toys? Scrap. There's a- Oh. What? Oh. But what would the benefit of that be? Like to control the population? They just throw them in a scrap? Like kill them? She said human disorder, so it's like well known. That's dark, bro. Wait, is scrap just like an endless pit? Ah. But wouldn't they have to brainwash her too? To like forget whoever he was? What was he talking to them about? He's like, oh wait. Is Onpoko trusted? The side-eye. So they are turning humans into toys. But then the kid doesn't remember, the wife doesn't remember. Hmm. What? That's creepy. I love this duo. Frankie and the soldier. Will be the purpose behind doing this. Hmm. All of them. Hmm. Double for Eater who did a film and go brought 10 years ago. Turned us to toys. Oh shoot. Is that what goes on at the toy factory too? Oh shoot. Have you been building up Flower Hill for a bit? Alright well, we get to finally learn a little bit at least about the entire toy pandemic here. Don't really know the motivation behind it though. Like I said, I guess just to control people? I don't know. He slapped his fist away. This is a solid fight man. I feel like a precursor to like other fights in the new world. Like he said, with Conker's hockey, there's going to be more people with Conker's hockey here. Do we know any others besides, doesn't shanks have Conker's hockey? I don't think we know any others that have it. I don't think even Blackbeard has Conker's hockey. I love how he just launches himself. He could eliminate him just by sort of getting him out of the ring too. Bro. Oh, that's why. Because he usually launches himself in like drills. Oh. Dude, can you just be more clear about what Garp did? Please? Oh! Evasive maneuver! He's redirecting! Damn, that was kind of a clean move. He's going to toss him out. Oh! Shoot the suplex! Was it enough to take him out though is the question. Dude, just knowing the toys were once humans, it just feels uncomfortable now. He's not moving. Is that it? No, he's going to shake. Yep. Yep. We're back. We've never been more back. Chen Zhao remains. I think Lucy's got this though. If he can suplex him like that, he'll just keep wearing him down. And Chen Zhao has done virtually no damage. What's he doing? He's going to drill! What? He vertically flipped! He's drilling! Oh, shoot. Prime Chen Zhao returns! He's a tornado! He's a Beyblade! How are you supposed to hit him? Yeah. Or you wear him out of energy. Just going to hit him? Oh, several times. He's trying to break through the defenses! Meanwhile, back to Law and Don Flamingo's game of tag. Yep, that's that checks out. Yep, that explosion. He's got his phone. Wait, he's a transponder snail. We still don't know why he's trying to buy time either. Dude, he's so cool, man! He knows it too! Who's he calling? She doing. I mean, maybe Nami? And those that were on sunny? He's calling another meteor down. Bro. He is so cool, man. That looks like it hit him! It's hit! Not for real. I'm all thumbs. Oh, it is Nami! I think he's trying to call in back up. Poor Law, bro. Oh, my gosh. It was so long talking. Aw. These guys are so cute, man. They're very efficient with the sewing. I don't even know how you sew glass like that. It's impressive. Oh, my gosh. Gram, gram! They apparently don't like him. Rob-a-land? The fact that they ate 80% of their food supply for one meal is just messed up, man. He really doesn't want to go up to the surface. Oh, I guess they have like a tunnel, right? Underground, they said? We don't actually have to fight, right? Actually, yeah, I kind of want to know, too. 500 friends who are forced to work at the ship. 500 of them are the factory? Oh, my gosh, man. Noxious, selfish, mean, moody, short-tempered princess. Mencherie. You don't like the princess that much? Yeah, for real. They're kind of real ones. No one would save everybody. So is Descendant Will, too. Yes, sir. Usab, you kind of have to perform, man. I'm not going to lie. You're really building yourself up here. Flapper? The family's on the move! The basement of the Colosseum. Yellow Cub and Pink Bee. Aw, this little hop. Aw, shoot, we heading now, baby. Off to war! Oh, no, they're getting the wrong idea, man. To war! Underneath the Colosseum. Wait, that's where the factory is! Under the Colosseum. Oh, shoot. It's right in front of our eyes, bro. Okay, some bombshells did these episodes. One, especially being sort of the secret behind the toys and the fact that they all used to be humans. Not even just some of them. It's not like some toys existed and some were kind of, like, manufactured. No, all of them were humans turned into toys. And then, B, we now know the location of the factory being right underneath the Colosseum. It's honestly smart, like I said, because it's right under your eyes. But I can slowly start to feel the sort of, like, setup for this arc and the group's gathering and how it's just going to sort of break out into, I'm guessing, war. Because we have so many sides at play here and still so many mysteries. There are such an absurd number of fighters in the Colosseum. At the same time, we have the Totata Kingdom. We have the Don Quixote family. The Navy is here. It's just, like, so many different angles to this to look at that it's almost impossible to see which way it's going to go. Or how fighting can even break out. Because we still don't even know Dolfo Mingo's true, like, intentions here. Aside from getting Caesar back, of course, to fulfill sort of his trade deal with Kaido. Or Law's intention in his true plans. But guys, that has been it for my reaction today. Please drop a like on this one if you have not already. It does help me out quite a bit. And I'll see you next time. Peace, peace.