You know on the day that Everest climbers attempt the summit they have to agree in advance with their guides a turnaround time This is a set-in-store non-negotiable time At which they have to turn around and go back down to the safety of camp Because if they continue climbing beyond turnaround time because the two hours within sight of the summit They leave it too late to get back down safely Most deaths on Everest by the way are because climbers violated their agreement about turnaround time Where do you need a turnaround time in your life today? Where do you need to plan a point beyond which you won't go with? something someone somewhere a Relational thing a work thing a financial investment Where do you need or your team need to plan a turnaround time and if you stick to it You'll get back down safely as it were you cut your losses and live to climb another day


Greetings and welcome to the Introduction to Astronomy. In this video, we are going to discuss one of the most important tools in astronomy in what we call the HR diagram. And it is a way of organizing the stars. When we get a bunch of data, what astronomers and scientists in general like to do is to plot it out by various properties and look for patterns that occur. And that is what happened in the early 1900s when a couple of astronomers, Henry Norris Russell and N. Y. R. Hertzsprung actually took the properties of stars that had been catalogued. And what they looked at was the spectral class of the stars. So the O, B, A, F, G, K, M spectral class. And that they looked versus the magnitudes or the luminosity of the stars. So when you plot those two, you look for patterns that occur. And what they found was that there was a relationship between the temperature of a star and the luminosity of the star, not for all stars but for most stars. And we see that there is a sequence here starting in the upper left going down to the lower right. And that main sequence is a relationship that there is a very distinct relationship between the temperature and the luminosity. We don't find a lot of stars down in the lower left-hand side. We don't find as many stars up in the upper right-hand side. There are some, and there are other reasons for that that we'll look at. But in general, we did find this pattern. So when we look at an HR diagram, what we find is that there are different types of stars and they are classified as primarily main sequence stars. So 90% of the stars that we see when we plot an HR diagram are main sequence stars. There are white dwarf stars, which are about 10%, and those are the ones that fall down in the lower left-hand side. And then there are giants and supergiants. Well, if we take our 90% and add our 10%, we've got 100% right here. But of course, due to rounding errors, there are still some, and the giants and supergiants are less than 1% of the stars. So there are a very small percentage of stars in the HR diagram. However, these are the ones we call, these are the ones that we can see over vast distances. So they are so large and so bright that we can see them even over very great distances. So let's go ahead. We've looked at a couple of HR diagrams, but let's plot one out for ourselves. So when we look at this here, we have to first of all draw the axes of the HR diagram. So the first thing we want to do is draw the axes. So we put an x-axis here. We put a y-axis here. And then we have to label what we're going to plot on each of those axes. So on this axis, it is temperature. Now we can measure temperature in various ways. It can be a spectral class you can plot. You can look at the color index. You can look at the temperature itself. But the thing to note is that when we plot the temperature, we plot it backwards. So the temperature increases this way so that we have hot stars over here and cool stars on this side. So numerically the temperature is going to be plotted backwards. Now the other thing that we want to look at and plot on the y-axis is going to be the luminosity. So we put the luminosity here. The luminosity would increase going here with bright stars at the top. So you would have that. That would be the second thing that you would plot. Then what we would find are the various parts of the main sequence of the HR diagram. When we start to plot stars here, what we do not find is that they do not just randomly fall all over the main sequence. That would show us that there is no relationship between them. Instead what we find is that there is a very distinct pattern between these when we plot the temperatures versus the luminosities. And what we find when we plot those are that we find, for example, the main sequence runs from the upper left, curves, and goes down to the lower right. So the blue line there is the main sequence. We would then have the giants and super giants would be out over here. So giant stars and super giants would be out over here. The white dwarf stars would be very hot stars, but very cool. And they would be down here in the purple. So they would be down below the main sequence. And where would the sun be? Our sun is right about in the middle of the main sequence. So our sun would be right about here. So there's our sun. And then we'd have all of the other types of stars that we would see. The other thing to note is where are the largest stars? Well, the largest stars are up in the upper right-hand corner. They're very cool, but they are also very large. These are the super giants. These are the giant stars. We looked at the others. We looked at the white dwarf stars here. And then we looked, again, originally at the main sequence. So the main sequence right here. So we have all of these different types of stars that we find located in the HR diagram. Now what we will learn is, you know, what can we learn from these? So let's go back to another HR diagram that we looked at, clear ours here. And let's look at another HR diagram. And what we see is that on the main sequence, the larger and more massive stars are in the upper right. So large stars are here. Those are the large and massive stars. Down here we have cool and low mass stars. So there is a very distinct pattern on the main sequence. The ones up here might be 50, 60 times the mass of the Sun. The ones down here might be one-tenth the mass of our Sun. And this is related to star-forming models. The temperature will be related to the amount of mass within the star, which actually also tells us their lifetime. And lifetimes for stars like the Sun might be 10 billion years, but for more massive stars up here might only be 10 million years, and for very low mass stars, maybe trillions of years. So star-formations models will tell us this. However, how then do we get all of the other types of stars? Where do the super giants and the white dwarfs come from? Well, stars will change their temperatures and their luminosities over their lives. So the Sun has a very specific temperature and luminosity, which puts it at a specific spot on the HR diagram right now. That is not where it will always be. So over time, eventually, the Sun will change. It will cool off and it will get brighter, so it will actually move up into the giant region. Nothing is moving about the star. It simply means that its temperature is changing. It's cooling off, so it moves to the right when we plot it on here, and it's getting bigger and brighter, so it's moving upward. So the Sun and other stars will change their positions over time. And that was what we'll learn is how stars evolve. So there's a formation of stars that we will look at, and then there is then the end of the lives of the stars, where they will change. So they will move around the main sequence that is very different from them moving around through space. So let's look at a few of the extremes of the stars as well, just to finish up here. When we look at the extremes of the stars in terms of diameters, the smallest stars are in the lower left. So very, very tiny stars, smallest stars will be right here. The largest stars will be up in the upper right. So star size kind of increases as you move from lower left to upper right. Star masses, this applies to the main sequence only. We can't tell anything about the masses within the white dwarfs or within the giant stars, those are completely different. But along the main sequence, the mass decreases as you move down the main sequence. So more massive and less massive down here. The densities of the stars are least dense in the upper right with the largest stars and more dense in the lower left with the white dwarf stars. In fact, these stars, which we'll talk about in future videos, are extremely dense, so dense that just a teaspoon full of their material would weigh 50 tons. That is how dense and how compacted they are. They essentially have had all of the space squashed out of them and are as tiny as a star can possibly get and still be made of ordinary atoms. They are just compressed so close together that their electrons are essentially touching. And we will come back to those in future lectures. But really what we want to see is that we can then learn about stars by how they move around on the HR diagram. Now within our lifetime, a star will never change its position. Our sun, somewhere in the middle right here, is going to stay there. It's been at this location for about 5 billion years and it will stay very close to this location for about 5 billion more years. It's only when it has exhausted its supply of energy in about 5 billion years that we'll notice that it will start to move up towards the giant branch. So our sun will eventually become a red giant. It will grow larger and it will cool off. So that is some of the things that will change. Again, it's not something that we would see within our lifetime. Every star that we see for the most part will not change in a human lifetime or even several human lifetimes. It takes in many cases millions or even billions of years to be able to see significant changes. So let's finish up with our summary. And what we see is that we create an HR diagram that when we plot the luminosity or some measure of the luminosity of a star versus its temperature. Remember that luminosity could be magnitudes. There are some ways to do that. Temperatures could be spectral class. Could be color index. It really depends on what is being done and what measurements are being made. But both of these are related to temperature. Magnitudes are related to luminosities. So there are various things that can be plotted. And the HR diagram shows how these are related, giving us the main sequence. Now, stars will spend most of their lives on the main sequence and that's why 90% of the stars that we see are on the main sequence because that is where they spend most of their lives. But they will change their positions as they age when their temperatures and luminosities change. And that is something that we will look at over coming lectures. So that concludes our lecture on the HR diagram. We'll be back again next time for another topic in astronomy. So until then, have a great day everyone, and I will see you in class.


Well, grace and peace to you in the name of our Lord and Savior, Jesus Christ. Today, we are just filled with Thanksgiving. The quote from my dad, great buildings don't make a great university, but a great university requires great buildings. Well, praise the Lord for this great new building. Welcome to the dedication of Rockmont Hall. Our fourth new building in about seven years, I am also thrilled that we have named this building from one of our legacy schools, Rockmont College. The era of Rockmont was from 1949 to 1985 when this became Colorado Christian College. I'm glad to say that Colorado Christian University is as committed to the scriptures as was Rockmont and Denver Bible Institute. We believe that God is a talking God. We have an unwavering belief in the Bible as the Word of God. We believe and affirm the truthfulness of the Bible and we proclaim that today. Lakewood celebrates its 50th anniversary this year. The CCU here was here before us. CCU is a treasure for the city of Lakewood because you understand what it means to be a neighbor. You understand what it means to give back. We're honored to be here to celebrate today with you. People that I've been able to touch across the world were because of the people that sacrificed and didn't give up and persevered at Rockmont. I am very grateful for the honor of having this cafe named after me. There's a core group of people, most of them are standing in the back, back there, who have been here for years helping design and construct and execute. And so I just want to take this moment to thank the Lord for all these men and women. So give them a big round of applause. This building houses 330 students in two bedroom and three bedroom apartments and full kitchens, a bath in each bedroom, washers and dryers, spacious living rooms, dishwashers, air conditioning, cable, and a food service cafe offering extended hour food operations for students. My heart is for this campus, for those who have also been here and will resign here in the future. My residents life team and I have been in prayer for God's hand in this inaugural year and we want Rockmont to contribute to the CCU community. Today my pop would have really been joyful that we're dedicating this new building, Rockmont Hall, to the glory of Jesus. Will you say it with me? Jesus, Jesus, Jesus. Lord we pray that you would always be present and always guide and instruct those who reside here. Encourage and spur on to loving good deeds and teach those who will for a short time call Rockmont home. Okay, if you will help me with a one, two, three. Here we go. One, two, three. My hand hath provided thy faithfulness, Lord.


From Hollywood, it's time now for Johnny dollar Listen, it's after midnight and I don't feel The also very uncooperative mayor chief of police in general do nothing in this town now just a minute now You just a minute. I asked you for help this afternoon and finding out who's threatening to put make McCarthy in a restaurant on a business What do I get a snide warning from you that the people of Cod Harbor don't want outsiders messing in their affairs Well, I don't believe it And why weren't you here a little while ago when somebody slugged me I was What You Okay, Beasley if my head stops spinning long enough, I'll be right over Tonight and every weekday night Bob Bailey in the transcribed adventures of the man with the action-pact expensive America's fabulous freelance insurance investigator is truly Johnny dollar From special investigator Johnny dollar location Cod Harbor, Massachusetts To the intercoastal maritime and life insurance company Boston Assignment the makes palace matter expense account continued expense account Well, so far here in Cod Harbor. There's been little need for it Make McCarthy had given me a small room above a restaurant provided all the food I could eat my own two feet Were the only means of transportation The only shops were along the waterfront They were suppliers to the boats tied up at the various docks and a motley lot of boats They were some were big schooners dating back to the last century and still carrying sail They were power boats of all shapes and sorts and sizes from 18 footers with one lung gasoline engines the big 60 and 70 foot diesel jobs Trouble of the sort I'd come to investigate seemed out of place in this otherwise peaceful little village So you've suffered a change of heart obviously and you've decided to go up Yeah, that's about the best way to put it. I guess she's wait wait before we go any further What was this bit about picking me up after I got socked on the head a while ago? Listen, mr. Dollar after you left here this afternoon. I got to thinking Maybe I was wrong and giving you the back of my hand and maybe you was right and walking out mad like you did Well, how would you feel the insurance company back in Hartford gets worried from make McCarthy that somebody's Threatening to burn up that joint on the waterfront. She calls a restaurant. It's insured for $15,000 and she's insured for 25 No, I know well, you see it's this way and when I get here I learned that somebody has already tried a couple of times to set fire to the place. All right All right, I learned a long time ago that in a case like this. It's smart to enlist the help of the local authorities Here in Conn Harbor those authorities all seem to boil down to you why I will never know Yeah, like I told you but now what do I get from you the cold shoulder the back of your hand as you put it I gotta explain to you mr. Dollar and go ahead and explain and believe me brother. I'd better be good Well, they're probably ain't another village like this in the whole country see Technally, we're supposed to be part of Barnsboro a few miles inland But we've always left them alone and they've always left us alone any trouble happens We settle it amongst ourselves and because we're such a small place It's get along with everybody or get out see so we just don't have no trouble Not a penny account that is unless it's somebody comes in from outside and makes it for us You understand mr. Dollar are you forgetting it was one of your own towns people who asked me to come here and for her own Protection, that's what I got to thinking about after you left so I decided maybe I better talk to you and Well, that's how I happened to go over to Meg's place tonight Was that you I saw in the shadows up at the front door. Yes I was waiting for Captain Billy Morgan and his crew to finish cleaning up the place for Meg And I was gonna go in and talk to you and that's the truth mr.   Well Something hit you and I just okay. Okay. I'll take your word. It wasn't you for the time being I swear mr. Dollar by all All right, then listen. Yeah, I heard that side door open just before I started seeing stars. Huh? Yeah That means whoever struck me must have come from inside the cafe say yeah Yeah, that's right. The only people inside were Captain Morgan and the crew of his fishing boat. You sure I'm sure Because I was in there myself just a minute before Just Billy Morgan and his three men where was made she'd gone up to bed. I just stepped outside for a breath of air Holy, huh? Holy Jensen first mate. Yeah, I heard Captain Billy call one of Moli last name's Jensen, huh? And in this Charlie Charlie buttons a deck hand in Montgomery the engineer. Well No, no not one of them could have done it. Isn't that like saying I didn't get hit one of them must have done it No, sir, mr. Dollar. He just couldn't make any sense. I tell me this Are any of them related to the guys who run the other cafes along the wharf? No, no But you are aren't you beastly? Huh to Clem Harris at the silver plate or is it the greasy plate? Anyway, he's your cousin, isn't I told you that but if you think he had it right now I don't know what I think let me tell you this if you have suffered this big change of heart It's about time you started proving I'll do anything you say mr. Don all right Make seems to think the threats and attempts to burn down her place came from her competitors I know she does but she's on a couple of hours. I'm taking off at the fishing banks with Captain Morgan and his crew Maybe I'll be able to spot which of his men laid me out in the alley if it was one of them Meantime you see if you can dig up anything that would put a finger at the other cafe owners That means Ernie at the manna house Tony who runs Irving's chop suey joint and your cousin Clem Harris Okay, mr. Dollar, I'll do it. Hey by the way Did you ever check their handwriting against the letters Meg received? Well, no I never quite got around to it. I don't think you ever got around to doing anything It's such an easy job. Do it get the letters from Megan check them. Yes, sir I'm gonna try to get a couple hours sleep before we take off on the little e-mail. Yes, sir The big lazy slob The first time I met him he'd actually posted about his soft job About how nicely he could live in the town without having to lift a finger. Oh Sure, the sudden change of heart may have been genuine, but I wouldn't have bet on it And I still had no proof. It wasn't he who slugged me and one of Meg's rival eateries was run by his cousin But then everything indicated that whoever struck me had come from inside her own cafe So I decided it was more important than ever that I go on the next day's fishing trip Back in my room on the second floor of Meg's Palace. I fell asleep the minute my head hit the pillow And I got a swan. It was only a second late. It is Oh Who was it what is it time to get up and out? What do you think it is?   Well for the hour for the eighth time you was up Here's the light for you.  Here's some coffee. Take a sorcerer to a little choke yet That's strong, but at a week Johnny boy What happened to you? Oh just what it looks like, but your head somebody just got real friendly with a bullion pin right after you went to bed They come up here and attacked it. No, no, it's outside.  So help me. I'll find out who done that You sure you want to get up and go out to the banks. Maybe it's no no, I'll be all right And I think it's pretty important I go out with Captain Billy and his boys Because I have a sneaking suspicion one of them may have done this. Why is him dirty conniving? Oh No, Johnny, you must be wrong. Oh, don't you know darling? That's the finest growth man in all of Cod Harbor That's so sure But then you you mean you think one of them could also be behind trying to burn me down and maybe me with it You can be mighty sure I'm gonna try to find out Johnny boy, I pray that you're thinking wrong Anyhow if you're going with them well Up and out with you the time you're in your clothes. I'll have some grits in the table for you eggs and part chops and donuts I'm at the crew of the lian at that breakfast breakfast Considering the amount of food set before them and the way they piled into it You'd think those four men hadn't eaten for a month And I must confess there was nothing about them that looked like cause for suspicion First was Charlie a tall brown-eyed husky young fella alert and pleasant with a sense of humor and he was obviously liked by the others I don't know mr. Dollar. I think you just got to dreaming about some nice pretty gal And when you reached out and tried to grab her you fell out of bed. That's the way you got banged up My gum read a bit older the man who was responsible for the engines on the boat gray haired lean worry with narrow fingers It looked clumsy and somehow never made a clumsy move Whose blue eyes look straight at you when he spoke that you believe and you can blow me down, mr. Dollar If that ain't the most dastardly thing I ever heard of here in car Darba You best stick close dust that your friends whilst you're here. I said friends are made McCarthy be friends Then Holly Jensen first made the oldest member of the crew quiet calm and efficient the sauce spoken It's not for me to inquire why you're here that business you're about mr. Dollar and they don't But I'm certain it's for the good and any help that we can give you you're welcome, sir Well then a few minutes we cast off and the lily and put to see Slowly the lights the little village disappeared after the moon had gone down and our only company out on the dark water Was the twinkling stars and the occasional running lights from the other boats setting out for the fishing banks Captain Billy Morgan stood at the wheel Gummary said it's worth the engine cover and occasionally made some slight adjustment or indicated to change of throttle to the captain Young Charlie and only made ready the two small boats and trot lines for today We'd go for cod fish in the deep that lay along the edge of Taylor Banks I stood alone up in the bow It's looking over the curling wash as it scattered the myriad microscopic beings and gave a soft phosphorescent blow to the water gliding past And I wondered I wondered why they had to be trouble in this world where honest labor by honest men could do so much more Honest men no Not even among this crew One of them had to be the man who'd attack me was probably the one who had threatened to burn make McCarthy out of business So I'd better have it I'd better get back to have talk with them watch their every move Try somehow to trap one of them into saying something that would give them away Or maybe who knows give all of them away And above all watch my step There was a long way back to shore The darkness and the sound of the engines could all too easily cover up an untoward act by one of them It did Before I could lift my head a powerful pair of arms that picked me up bodily and dropped me over side On all aboard In the brief moment that I remember I felt the strong tug from the big propellers as the water closed over me Then a terrible blow against my side Then nothing Oh, here's our star to tell you about tomorrow's episode of this week's story tomorrow The motives for arson and murder begin to take definite shape in the form of a confession Join us won't you yours truly Johnny dollar? Yours truly Johnny dollar starring Bob Bailey is transcribed in Hollywood It is produced and directed by Jack Johnstone who also wrote this week's story Be sure to join us tomorrow night same time and station for the next exciting episode of yours truly Johnny dollar Roy Rowan speaking


This is TFNN, the Tiger Financial News Network. TFNN, headline news update. Good afternoon everybody, I'm Tommy O'Brien, coming to you live from TFNN headquarters in St. Petersburg, Florida, 1 p.m. Eastern time on Wednesday, three hours left to go on the trading day, one hour left till we get a Fed decision. No surprising news expected. It should be interesting to see what Chairman Powell has to say as he has a press conference following that announcement. Nonetheless, to the markets, pretty calm day, a little bit of oscillation in both directions. Right now, you've got most of the major indices, either flat or in the green. S&Ps up by, we'll call it flat actually, 29.49. You get the NASDAQ up 26 points. Some of that coming from Apple, quite an earnings number last night. We'll jump over to Apple's chart in a moment. NASDAQ up 25 points, trading at 81.20. The Dow up 30 points, trading at 26,623. We get the dollar index, negative 176 ticks, trading at 97.025. Notes and bonds, higher price, lower yield. Coming into that Fed meeting, 10-year note, up five ticks, 123.26, 30-year bond up, 18 ticks, 148.01. We'll start it off. Let's jump over to the futures markets. We'll start it off with the Dow. So a little bit of volatility in both directions. 8.30 this morning, trading 26,680. As you can see, even with the volatility in both sides, we're only about 80 points below that level, trading 26,601. NASDAQ 100, a little bit of a different story. We trade higher to 11.45 this morning. Make a high of 78.65. We sell off a bit. NASDAQ 100, trading 78.39. S&Ps currently trading at 29.48. Excuse me, we're about 10 points higher this morning, coming in at 29.58. Gold contract with some volatility as well. We had a weak ISM number come out at 10 o'clock. You'll see, even backing up some of the chart, there's your 10 o'clock volatility. You saw the market spike a bit lower. You saw gold spike a bit higher, but gold now giving back most of those gains on that weak ISM number, currently trading at 12.82.58. And crude oil. We got EIA numbers this morning, almost a 10 million barrel build, backing it up to find 10.30 on the chart. There's your 10.30 bar. We were trading at about 63.60, coming into the 10 million barrel build. The estimate was only for about 2 million barrels, give or take. Nonetheless, we trade a bit lower, but pretty muted response with such a big build. Oil trend 63.22. And jumping over to pull it up for Apple, there's your Apple chart up now 6.5%, or $13 had hit as high as 215.31. Stay tuned, folks. We got our man Steve Rhodes coming up right now on Trader's Edge. Dave White live at 2 o'clock. Don't forget Fed announcement at 2 and live, Tom O'Brien from 3 to 5. Stay tuned, folks. Have a great Wednesday.


Okay so in this video we're going to play around with some data frames. So when you're manipulating data you want to work on columns, you want to work on rows, and you can do that in a visual spreadsheet manager like Excel, but R has a lot of capacities to look in on specific things and columns and rows and do a bunch of advanced stuff. So we're going to talk about that in this video. So if you don't know R actually has some built-in data frames that you can play around with, like sample data sets, and the one we're going to be using in this video is beaver 1. Now if you type beaver 1 into R you will see that a bunch of data plops out. That's because this is a built-in data frame that's in there. I'm pretty sure it's in every distribution of R and all operating systems, but so it's here on mine and it's all the other ones I've checked it's there. So let's play around with this thing. So let's first off say summary beaver 1. Let's try and figure out what this is. I'll go ahead and tell you actually move that up. I'll go ahead and tell you that this is a bunch of measurements of body temperature taken from a beaver and there's also beaver 2. That's another beaver though. So look at the kind of columns we have here. So we have day, we have time, we have the temperature, and we have this column active which I'm pretty sure is if the beaver was active or not. I'm not a hundred percent sure, but either way it doesn't matter for us now. So if you want to look at if you only want to see the beginning part of a data frame you can just type in head and then the data variable or you can type in head equals or head in equals like 15 if you want to see the first 15 of the rows. Okay so we have day and this is presumably day of the year so the 346 the day of the year. I guess that's in December. We have the time that the temperature was taken and then we have the temperature we actually got. So notice the time here if I do let's say if I do max beaver one time that's gonna give me 2350. That's the maximum of all the times we have so we're on 24 hour time just to be clear and we have temperature in Celsius. So first off I should explain what did I do here. So I did one of the first little things where you're when I'm ending up sub-setting data. So what you can do is if so this whole data frame is like a big Excel spreadsheet or big spreadsheet generally but if we want to talk about specifically one column or row we can narrow in on them with the dollar sign. So if I say beaver dollar sign time or excuse me beaver one dollar sign time it's gonna return all of the time values and this is effectively in a vector and we can treat it like a vector. For example we can say you know beaver time plus you know 200 or something and 200 is added to all of those. Now of course we're not actually adding to that in the data frame we're just doing that real-time you know doing the calculation in R. But so you can say beaver you know beaver one temp or something like that if we want all the temperature values. The other thing you can do is in the same way that you can call temperature or call columns you can create columns. So let's say let's say we want to add in a new column and we want to call it here's what we're gonna do. We're gonna say beaver one legs. So we're gonna say that beaver one legs is equal to four. So what is that gonna do? Now if we look at our data again if we look at data of beaver one we're gonna see there's now a legs column and it has four in every single value. So here I've just added in one number. You could add in a vector of the same size and you know add all that data in. But now we know that each time that the beaver was measured you know each time we counted it or measured his temperature he had four legs that's very convenient. Now that's not gonna mean anything much but this is how you add in different columns and you can add vectors or numbers or whatever. Okay so let's start doing some let's do some real manipulation of this data. Okay so here we have the temperature column. Now the temperature column is in Celsius. Now I'm not big on Celsius just because I'm an American. I don't know I find like Fahrenheit is so much more intuitive. So if you don't know how Fahrenheit works here here's how it works. Zero is really really cold on a really really cold day. A hundred is really really hot on a really really hot day. That's what Fahrenheit is. I don't know the Celsius stuff I don't care if it's more logical it's not for me. So I'm gonna change temperature I'm gonna change temperature from Celsius to Fahrenheit. So how am I gonna do this? So we already know that beaver one temp this is a vector. We also know that we can modify vectors by you know just sort of algebraically adding things to them or something like that. So and we also know that we can like we did back with the leg thing we can actually create different new columns or actually replace columns by setting setting them equal to something else. So let's do something a little magical let's say beaver one temp and we're gonna set that equal to something. Now what I'm gonna do is make a little equation. So what's the equation for Celsius to Fahrenheit? I'm pretty sure it is the Celsius degrees times nine over five all of that plus 32. Okay so that's the equation. So what I'm gonna say is beaver one temp I'm gonna set that equal actually you know let's make a new column we'll say F temp for Fahrenheit temperature or something like that. That's gonna be equal to beaver one temp yeah times nine over five and I put this all in parentheses so the order of operations works out. I think it would anyway in this situation but so beaver one temp times nine over five plus 32. Now if I run this I hope that works. Let's look at beaver one F temp. Let's see what that looks like. Those looks like good body temperatures. So oh in body temperature in Fahrenheit just a little under 100 if you have a hundred you might be close to get having you know some kind of a flu or something or fever. So here we go here are all of our body temps and Fahrenheit now we can run beaver one again and we'll see that we now have a column of Fahrenheit body temperatures. Now keep in mind this is this is a super easy thing to do it's the equivalent of like in Excel when you have one of those things when you have like equals and then some you know times whatever but we can do this sort of on the fly in R. Now it just as well could have said now that back here I said that beaver F temp is equal to this. I could have also just said temp and what that would have done is rewritten the temperature column with this but I think I want to have both Celsius and Fahrenheit. So what else can we do to this data? Let's do something more fancy. So here as I said before we have time and we have time in 24 hour time. So let's say hypothetically this isn't really a good idea but so let's say hypothetically you want to have that time in 12 hour time. So how would we go about doing that? In R we can do it pretty quickly but how just think about it programmatically. So if you're in the normal computing language that didn't have all this fancy vector arithmetic or whatever you would probably have to have some kind of loop that goes through here and decides you know which one of the temperature or excuse me the time values is over is 1300 or over because at that point 12 hour time is going to roll over 24 time isn't. So all of these values right we would take those values and subtract 1200 from them and that would give us 12 hour times. So how do we do this in R? So R has this really cool function called if else. So what if else is is right here is you give it some kind of test for it to do and then it returns you give it three arguments one is the test one is what it returns if the test is true one is what it returns if the test is false. Now this isn't just a simple like yes no thing but if you have it act on a vector it's going to return as many yes or no values for however many elements are in that vector. So let's just let me go ahead and say so beaver one temp or excuse me time is what we're now doing. So what we can do with if else is do something like this. Well we'll actually set this equal to a variable we'll call it a con for condition okay. This is going to be equal to if else and then first we put our condition and our condition what our condition is going to be is if a beaver beaver one time is a greater than or equal to 1300 so effectively if it would have rolled over if it were in 12 hour time. So if that is true what we we're going to have it return the number negative 1200 where we're going with this you'll see in a second and if it's not like that if it's not over if it's not 1300 or over we're going to have it return zero okay. So I'm going to run this now all of this function has now been or the output of the function is now saved to the variable con. I'm going to pull this up now what this has done is it's gone through beaver time as we told it to do and it's checked for each one of these values if it's above or below 1300 and if it is above or if it's 1300 or above it returns negative 1200 otherwise it returns zero so we have this very nice vector here so you may be able to see where we're going with this now. So now what we can do is we can take so we can take beaver one time and we can add con to it I was about to say subtract but we have negative negative numbers here so what this is going to do is it's going to take each and every one of those times and add them to these so all of these 24 hour times are going to be subtracted so let's run that and you'll now see actually let me move it up you'll now see that we have all of these so 2pm is now you know it's not 1400 it's now to 00 so if we want we can go ahead and put this in a column in our data frame because right near right here we're just doing the math but if we want to put it in our data frame let's put it as you know 12 hour time or something like that so 12 hour equals beaver one time oh yeah we shouldn't use we should not use one two so we'll say 12 okay so yeah you can't have variables with that in um so if we look at this now we now see that we have 12 hour time actually let's uh well we see them up here anyway so now we have a column in our data that has time that we've manipulated with some kind of condition now again I could have just as easily replaced this actual time variable but you know you can do it if you want now keeping other things we could do with cond we could have it um or if else we could have told it to for all of these say that it's afternoon or something like that or for all of these say that it's am or something like that um all of this kind of stuff you can play with you don't just have to give it let me go back to if else you don't just have to give if else numbers you can give it strings to put in a vector you could give it true or false or something like that depends on what you you're actually looking for okay so the last thing i'm going to talk about is also pretty cool it does sort of similar idea and that is the subset command so subset is a very nice thing basically what you do is you feed it data and you feed it a condition and it gives you all the data in that condition it's doing something relatively similar to what if else does um but you know you're not making a new vector you're just looking at a subset of the data okay so if we remind ourselves let me look at head beaver one again so let's see we have temperatures here we'll look at the celsius just because why not uh no let's look at fahrenheit because we made it ourselves so let's say we have you know 97 we have 98 we can look at let's actually look at summer beaver one let's say we want to return all the places where the temperature is below 98 or something like that so what we can do with the subset command is the following first you give subset a data frame so beaver one um and then you say the condition uh like which one of those to return so we want the ones that um are true when beaver one f temp is uh greater than or let's say less than 98 i think that's what i said before okay so if i run that you'll now see that it is not it's not just you know puking out random numbers it's puking out only those observations where the f temperature the temperature in fahrenheit is less than 98 degrees so we can reverse that as well we can say only those greater than 98 and there are actually a lot more of these um but that's a way of looking at a subset of our data or something like that um now we can do the same thing with time we can do the same thing with day so remember there are two days in our uh let's see so let's say uh let's say we only want the observations of excuse me we only want the observations from day 346 we can just say day is equal to 346 and we will only get those observations not the ones after them or you know when active so we said active is a binary variable so we can say only those when active is true or equal to one um we have only those when it's equal to one or true okay so this is just uh i guess sort of an entry way to messing around with data frames in r again we played with subsets we played with making if else conditions so this is a great way at taking your data manipulating it we play we perform mathematical operations on columns made new columns we converted an entire column to another you know a way of another way of looking at data um so this should give you an idea of like where you can jump off for in actually addressing problems in data sets in r so we'll probably talk about some classes of data in r next and then maybe on to some more advanced plotting stuff so i'll see you guys next time


The chairman of the cross-reverse state chapter of the all-progressive Congress, AAPC Alphonsus, Eba, said that the newly elected national chairman of the party of Delay, Adamu, was not in post. Eba spoke earlier tonight on plus politics, where he meant that the presidential candidate would come from the south since the national chairman of the party was from the north. When we got here to the national level, it was only wise for us to say, Mr. President, who do you want among this whole president? And the President said, I want all, but in my thinking and estimation, you have given an assignment to Senator Abdelayad and Amu is excellent.  So as much as I want everybody here that is running, I would prefer that the mandate has concluded work to go and conclude it. That was not in position. The governor came together and saw reason with that. And that was how we all surrendered to that view. It was a popular opinion and it became the interest of the day. And everybody had to drive the consensus process. We have a culture that the moment you have a chairman of a party from the north, invariably, the presidential candidate of the party will come from the south. And that aligns with the aspiration of all Nigerians that power should shift to the southern part of Nigeria. Whether it is going to be the south side, the south way, or the southeast, is another category of discussion for another day. But the APC has given a clear direction ahead. Please do subscribe to our YouTube channel and don't forget to hit the notification button so you get notified about fresh news updates.


You've had a couple days now to think about finally getting a chance to make your first playoff game. Thoughts about that, and how much are you looking forward to having this chance? That's exciting. It's a big opportunity for us. Obviously a huge challenge on the road. But we're all excited for the opportunity and looking forward to taking advantage of the week. A lot of guys on the season then say they don't watch for playoff football. They just swear football off for the next year. Have you watched during the course of your career? And did you think love to do this one day? I didn't miss. I definitely didn't sit down and watch a bunch of them. But yeah, it's always something that I wanted to be doing my whole career. Have there been moments along the way where you thought, I can't believe I haven't experienced this yet? I don't know if it's that thought, but it's the thought of I want to be playing. I want to be playing in January and competing for a championship. What do you anticipate the intensity level being like? And do you anticipate there being a raised intensity? I would imagine. It's a playoff, so everything kind of amps up a little bit. There's no prepare for next week if you lose. It's win and move on or a lose and go home. And obviously, everyone wants to keep playing. So I definitely expect it to be an intense game. And we're going to have to go out and be just as intense if not more intense than the other team. What are some of the things that you do to keep that even kill? No, you could get too amped up and overthrow and not be as accurate as possible. I think just sticking true to what's got me to this point, being prepared, going into the game, being fully prepared for the situations that can arise, make the adjustments within the game. This is a team that obviously plays at a very high level on defense and always will throw something at you that you haven't seen on tape or change something up on you. So you have to be able to adjust within the game. But at the end of the day, it's football. Just got to go play and execute. All right, how much is this between playing at New England versus a typical road game? I mean, I don't know if there is a difference. Obviously, it's a place that they've played well at in the past. But at the end of the day, it's football. It's a road environment. It's going to be going to be loud. And we have to be ready to go. You've got part of four wins against them, which is a high number for a quarterback in this league. What can you draw off of that? Every team is different. Obviously, how they played last year, how they played in the past has been different than how they're playing this year. So at least defensively. So I can't really speak on things in the past. But obviously, it's a team that's well coached. They're going to go out and execute their defense, their offense, the way that they're coached to. And they're not going to beat themselves. You have to go out and outperform them and execute your own plan. They're obviously very good at getting their hands on the football in the secondary. Does that temper the chances you can take down the field? So I think you guys have to be calculated. And trust your guys. Like I said, I've been building the trust of my receivers over the course of the season. They're going to play tight covers. They've been doing it all year. They're a really good group. They're physical. They get their hands on receivers. They get their hands on football. So they're going to have to be smart with the football. No one to put the ball in the right spot and be accurate. What's that a spot you've been trying for? And running and using play action to set up the pass. How do you feel like you guys have done when you've had to use the pass to set up the run? It hasn't come up a whole lot this year, just because the way we're kind of built. So obviously, we have a plan for that. But we'll just kind of see how the game goes. Satisfying has it been, Ryan, to not settle for field goals almost all the time. You guys have been so good about punching it in once it got in the red zone. What's that been like and what do you attribute it to? Well, it's been huge. I think the more times you can score touchdowns you get in the red zone. Then you're going to win a lot more games. Getting seven instead of three. So something we want to continue to do. Obviously, this team is good in the red zone. And they make it tough on you. So we're going to have to be really good and disciplined with what we're doing and mix in place. Is your new kicker giving you a hard time at all? Would he like to maybe kick a field goal every now and then? He hasn't. He hasn't. I'll keep trying to put seven up. And if we have to use them, then we'll have to use them. What's the mood change been like, I guess, in the building coming off of Sunday? And is it the dramatic difference maybe now that you kind of mentioned a win or go home scenario? I don't think it's dramatic difference. I think this team has been really good throughout the whole year of coming to work each and every day and trying to do everything we can to get better. So obviously, there's an intensity and a focus, but it's not a dramatic difference. We're trying to be locked in at each and every week. How much easier has it made your job this year to have just the sheer number of offensive weapons that you guys do? It's huge.  I had different guys step up at different times in the receiving group. So the more we can kind of spread the ball around and create matchups all across the field, it's tough for teams to take away one guy. And this league legacy greatness are defined in January and February. How much of that weighs on you? How much pressure is there knowing that this is a chance to make your long term mark? It's not a pressure. I think I'm just trying to find a way to win one game. And then we'll handle the next one after that. Just do everything we can this week to beat the Patriots. And then whatever happens after that happens. Someone in text me during the game on Sunday and said, Tana Hill looks like he's having the most fun he's ever had on a football field. Is that true and why? I've had a lot of fun this year. I don't know if it's the most fun. I've had a lot of fun my whole career playing football. I love playing the game. I love competing and I love winning. So obviously we won some games this year, so that's always fun. But I enjoy every time I get to step out there and compete. I love the guys in this team, the way we compete, the way we believe in each other. And yeah, I'm going to keep enjoying every time I get to step foot on the field.  I think our ability to find a way to win throughout the season. The ups and the downs, the adversity we face, different types of adversity throughout the games. And almost consistently, we tried and found a way to come out with a win, whether it was special teams making a place, offense going into two-minute, defense coming up with a huge stop with a goal line. Somebody on the team stepped up and made a play. And I think that belief has been built through actions. It's been built through seeing it happen. So obviously, just need to keep going. Along those lines, you guys have had a lot of chunk plays this year. Has that kind of become the expectation of this offense to get those type of chunk plays a lot? Every game is different. Obviously, they'll try to limit it. That's their whole thing of defense is they're going to try to limit your chunk plays and make you march down the field. So you want to make those plays happen. But if they're not there, then we're going to have to be methodical and march it down. Just kind of depends how the game goes. Anything to you that you've finished as the league's host running your pass for the season and maybe who told you that was the case? I'm assuming you realize that. It's cool. I think Robbie told me after the game. Definitely an honor, but not something I was focused on, just trying to get wins. And that was kind of a byproduct of the full team effort and throwing the football. So yeah, not something I focused on, but it's a cool honor. Testing your play-by-play memory here. Any chance you remember anything about your first play from scrimmage as the starter? You threw a deep ball to Giannu up the right side against the Charger. You remember anything about that? Yeah, it was through a back shoulder to Giannu on a crossing route, and linebacker was trying to cut him off underneath and was able to get him football. What do you feel like right there at the beginning of your term as the starter to get it going right out of the gate? Didn't think a whole lot of it, honestly. Just first play of the game and big chunk play and got us going. So yeah, not a lot to say I was glad to make a play. Feel like years ago or for everything that's transpired? Yeah, the season's long. You look back, we look back at tape from earlier in the year. I think about games from earlier in the year, and it seems like it was years ago, but then the weeks go by so fast. So it's kind of a weird oxymoron that the season's long, but the weeks go by extremely fast. Ryan, as a competitor, obviously you're not going against Tom Brady on the field. But as a quarterback, you look forward to going up against a guy who, you know, six Super Bowl rings, and he's got all the post-season records for a quarterback? I love playing these guys. Just their team as a whole. They're a quality team through and through.  They're not going to give you anything. And as a competitor, you love that. You love having to go earn a victory. So I'm looking forward to it. What stood out about the way that Miami was able to exploit them last week? They came out and they played well. They played physical. They made some plays when it counted. And I think we're going to have to do the same if we want to come away with a win. Learned anything from the practices against them back in August, the personnel that they have, or guys potentially that you faced then that would help you on Saturday? Yeah, every team kind of evolves a little bit, but they have the same guys playing. And they're a good group, good group through and through. Big at the linebacker position. Deep at the linebacker position. They'll move those guys all around and create all types of different personnel problems for us up front. On the back end, they're physical. Like I said, they do a really good job of staying tight and playing a lot of man coverage. But they stay tight and make it tough on you. So we have a ton of respect for them. You make it to midnight tonight? No shot. No shot. I'll be fast asleep. You played several games in the AFC East taking Stephon Gilmore. What challenge does he give whoever they put him against on Saturday? He's a quality player, man. He's really good. He's physical. He stays tight and man coverage. He transitions really well. And then he has good ball skills. So he kind of has the complete package, everything you're looking for in a corner. And he's been playing great for him. Brian, how has AJ elevated his game the last six weeks or so to go from a guy who showed us a bunch of flashes earlier to now a guy who's flashing every week, it seems? He's consistent. I think he's stayed true to the course, came in with a growth mindset, like Art's spoken about, that comes to work every day and tries to figure out a way how he can get better. I think his role has expanded, obviously, the more place he's made and the more he's shown to do well. And I just want to keep that going. As a quarterback, Brian, when you watch Brady, what do you see? A guy that's consistent. He's a guy who's been doing it for a long, long time at a very high level. So he's won a lot of games and obviously have a ton of respect for him. Thank you, Ryan. Thank you.


Health science students have a moderate level of knowledge about aging and a slightly positive attitude towards older people. Students from clinical programs tend to have more knowledge about aging compared to those from non-clinical programs. Additionally, Malay students tend to have more positive attitudes towards aging compared to other ethnicities. This article was authored by Devinder Kaur Ajit Singh, Panusami Subramaniam, Nor Najwital Akmal of Burmaan, and others.


What's going on guys? Welcome to another video. Today's video what I'm gonna be doing I've done this a few times You know done a few commentaries before you guys tore them up You love them you got some information about them and you know This is something I think is really important because you guys are all wanting to know what I did in the tournament and Rather than just talking along the day with you I think it's better if I really break it down on really what happened After the tournament where I can look at the footage where I already lived that moment And I can pretty much break down everything and hopefully you guys can get some information out of this And you guys just kind of know what we did that day for our success But let's go ahead and get started into it before I even honestly hop into this Gunnersville commentary I'm just know I actually have a motivational video from this tournament. It's actually a really great video I'd really suggest you guys go and watch it. Yeah, I'll leave the link below in the description But seriously go check that one out if you haven't checked that one out already Um, it's just a little motivational video. I think you guys love it I'm also going to have a recap where me and Sean are both going to sit down in my boat We're talking about what baits we're throwing while we're throwing them where we're throwing them. What was so productive, but um Going into practice On this event I had I had a few few things go down um First thing is, you know, we got there first day of practice um And we got out there on the water stayed off for about an hour Caught a few really good fish around four pounds, you know, um in that first hour and when I like heck, yeah You know, this is some spots that we already fished because we both fished at open event On the year before so we were already fishing some grass that we fished Then we're like heck. Yeah, you know, we got some good fish right here. We're finding good pattern You know, these spots are good. These spots are good. Um And then all of a sudden I went to crank up my boat My boat would not get on plane. I had some problems with it We still don't know what was causing the main problem, but we really think it was gas. I had bad gas in it I thought it was something way worse the boat wouldn't even get up on plane I took it to a shop work there all day. I didn't get the fish the rest of the day Just just a quick little summary of what happened in the next day. Um, Sean's dad actually brought down Sean's boat So that's why if you guys are asking why I wasn't fishing in my boats because of that reason, um And actually set the gopro up. I have this new gopro going in the light where the light pole would be in the back That's why it has the whole boat view and um actually flew off Going on to her first spot. So Yeah, I didn't get to get any practice footage Which really sucks because we covered on 18 19 pounds that day Not even trying like literally just go to the spots You know once we call them leave and finding all the new spots It was like all the new spots and it was really cool footage, but sadly, I didn't get to get footage But um, let's go ahead and hop into this commentary before I keep you here too long So guys as you know, we fished one college event before and um, that was actually at lake siminal And um, this is our second college event for flw. Lake gunnersville 250 boats and you know in practice we really I told Sean I was like, dude, let's just go fishing You know, let's let's go fishing. Let's find a few patterns And uh, hopefully hopefully get a good finish out of this tournament. I was like, dude, you know The one thing I mess is a lot of people up is dock talk. Oh, these fish are doing that. Oh, these fish are doing that Well, you don't need to listen to that You need to literally go out there fish fish way, you know try new patterns Try everything out and that's what's going to make you successful Um, so we went out there, you know, we tried a few different things. Um, I found this pocket right here And a lot of docks around it great water, you know had a lot of water on the docks It wasn't like super shallow or anything. So like let's try this out. So in practice I caught one um where the footage I didn't get it was around Um, three and a half pounds. So it was a pretty good fish So we were just fishing these docks, you know cover them water Hoping to get a good bite here in the morning. Um, we fished two spots previously before this and we do Not have a fish in the boat at the moment. Um, but as coming up past these docks right here As you can tell by that big tree right there in the middle I'm about to cast towards as cast past that dock But on the left hand side, it's actually a flat. Um, so spawning flat and You know, I knew there's potentially to be fish there We actually didn't fish this whole coat once I caught that fish off that dock we left And uh pulling up on this flat was like hopefully we can get a good bite, you know, um And so that's what that's what we're gonna do now that I think about it now that I think back on this tournament I wish we would have fished that spot a little bit more maybe hit it a few times Um, because I know there wasn't just one big fish on there But um right here, I'm pretty sure this is the cast right here Casting right up on this. Yep fly right here and um Hooked into a very solid one around four and a half pounds. Um four and three quarters probably I was really solid fish and going into this tournament knowing that I didn't really try too hard in practice to catch fish and we caught around 20 pounds And you know, this is Lake undersfield and I just thought I was going to take a lot more silver I got that fish in the boat right there. Um Over four pounds. I was like, you know what? That's a pretty good fish. You know, I was pretty pumped about it But after you know, I put them in the box. It's like, all right, man. We need like four more of those You know, I really didn't think that this tournament was going to be that rough and um, but that's a solid fish right there If you guys are wondering why I put my hand up right there. There was actually some boats in the background watching us um And that was pretty neat But uh continuing fishing down this bank fishing these docks, you know, I got a little deeper once he got towards the main Uh main lake right here and it was about to come up on a rocky point Sean's actually throwing an Alabama rig hooks up on one right here and um Listen, you see that right there. I'm gonna make fun of myself right there Me and Sean sat down and talked we're like, all right I told him I was like, you know, there's ways that I did this in high school You know, me and Sean fish together much I either can put the net down and let you drag the fish in the net or I can go after the fish and both of us are kind of You know, miscommunicate right there, but that's all right You know, we work through our problems and we're gonna eventually get everything down packed But uh, that was a solid fish right there Loser on three and a quarter and once we got those two fish and we're like, all right That's all right. I was like, we're probably gonna need to cool this one out later You know, if we're one the win this thing, we're wanting to get a good Minimal 20 pound bag, you know that we're gonna have to have some big fish And that's no joke, but that was still a good solid fish right there You know that really helped us out especially knowing the conditions like at the end of the day when we didn't know how it was Going to go that fish really, you know, put us up there at least those two first fish Those were definitely the two biggest of the tournament So right here as we're moving on To spots we had this little point Is actually right before this and I had this clay bank right here And you know these decisions that you got to make even when you're fishing the term You just got to go fishing and we decided to fish this bank to the right hand side of it You know, it looked really good. Had a lot of structure had some rock on it as well Contour lines lined up pretty good. I had a little bit of water on the bank I've had some trees right here in the water as well And right here as I'm reeling over this tree. I thought in my head off a fish is about to eat it I'm not kidding. It was weird and boom the fish really ate it right at the boat It was it was a moment that I can't really explain And it was a moment that I was like, wow, did that really just happen because and I about fell in the water right there. But yeah, that was just really crazy. I caught that one on a chatterbait Um, literally solid tree in the water. I'm a polarized glasses on I went over the log and literally the fish is smacked it I pictured in my head of the fish smacking it We're moving off to this uh fourth fish right here And by the way, I'm only showing the fish that we actually kept in the libel Not the ones that we cold out or the other ones that we caught But we found this uh main lake rocky point You know, we we fished in practice. We caught one off of it Um pretty solid fish around three pounds and we're like, you know what? Let's go back there We actually hit this in the morning. Um, just the way the wind was pushing was perfect Well shot picks up on a fish on the Alabama rig I can tell all that current all that water pushing in there And on this rock, it wasn't just like a little rocky point, you know Add a lot of chunk rock pushed out and those fish can just really sit up in there really good But that was another solid fish right there, you know About three pounds uh two and three quarters three pounds That was a solid solid fish to work back. I believe that was around our third biggest But um going on to this final fish, you know, we were stressing out we had about 40 minutes left in the tournament I was like Sean, we got to get this fish. We got to get this fish. And I was like, let's just fish You know, let's just fish. We we fished in practice. We didn't listen to anyone. We didn't Well, I I didn't even think about the spots I had last year. I was like, let's just go fishing Well, you know, I saw that Sean again and we were looking on the map We're looking on the graph and picking all these spots and Sean caught this final fish right here And I'm talking he's measuring it right now. I'm talking On the money 15 inches had to be 15 inches and uh, you know God was definitely looking down on us this day And that just blows my mind.  You know way more than the high school You know, um, the fact that you can do it all on your you can drive the boat first of all You can drive the boat so much better. You don't have to worry about anything. You don't have to have boat captains It's just perfect, you know, it's just you and your fishing partner And Sean have been working together pretty well. Um, so I can only see us getting better as it goes. Um, we actually just fished winya I know you guys probably saw um post on instagram. We fished a three-day event at winya. We had 10 pounds 14 ounces the first day 10 pounds eight ounces the second day and then 13 pounds 14 ounces the third day And we actually finished a third place. Um, that's actually what the trophy is right there But that was a great event. You know, we've had a really good start this tournament We actually finished 16th out of 250 boats So we still had a really good finish and qualified for nationals for flw And on there we qualified for nationals for bass. So to know that we only fished a few events our freshman year Um, and our freshman year already fishing, you know, qualified for the two national events Just a really really great feeling and just to know already got out of the way and you know, just Keysome driven to keep pushing harder And you know, I'm about to be out of town for the next like three weeks Just traveling I'm gonna be going to heart hole fishing a turn on me going to kentucky lake fishing a tournament Then I'm going to be going to the bass master classic We're having a lot of stuff going on But I'm just going to keep on trying, you know filming editing school work You know jim everything I'm trying to get my life back together get everything on the grind And I keep everything good But I hope you guys enjoyed this commentary if you have any more questions about the tournament Be sure to leave them below if you want to know more about the baits and Areas where you're fishing like more into depth. I will be making a recap video with shon We're going to talk about, you know, rod and reel setup or baits the line that we're using Um, and just a little bit more about the tournament But if you leave comments below on this video about what you want to know Maybe I can go over that in the recap as well and answer your questions for you But thank you guys so much for watching and more importantly. Thank you guys so much for the support It means so much. Um, seriously you guys I mean you got to understand, uh, you know, I'm going through a lot right now with college and everything and um I just really appreciate you guys waiting Um patiently for me to post these videos and I'm still supporting me throughout my journey But you know instagram, I'm always on point on so I'm always posting on instagram If you guys would please follow me on there. Um, because that's that's daily updates every single day Um, youtube is going to be a little bit different. Um, I just have to wait See how my schedule is going because I'm traveling so much, but thank you guys so much for watching I love you guys so much. Please hit the like button and leave a comment below. I'll catch you guys at the recap video