Hello and welcome to my tutorial where I'll be telling you about some tools, namely our packages and our Shiny apps that you can use to account for within-study and across-study biases when conducting a meta-analysis. All of this work is joined with Maya, and both of us are at the Quantitative Sciences Unit at Stanford University. MetaBias.io is the central hub for this project. This is where you can find all of the hosted Shiny apps and links to all of the packages and their documentation. So why do we need the tools that I'll be talking about today? The results for meta-analyses can be biased because of statistical bias in the underlying studies that they're using. These biases can include publication bias, where studies that are statistically significant are more likely to be published than studies with non-significant results. P-hacking, where researchers may manipulate their data or their methods to obtain statistically significant results, and multiple biases operating together, such as when publication bias interacts with the internal bias to studies, such as unmeasured confounding. Many varying methods exist to correct for these biases, and I don't have time to give a detailed overview of them, but what I'm going to be describing is a complementary approach of conducting a straightforward sensitivity analysis. These analyses let you evaluate how robust is a given meta-analysis to different levels of these biases. For each of these three types of biases, we have developed an R package for conducting these analysis analyses in a corresponding Shiny app where you can do the same analyses interactively. So for each of the three, I'll be showing you some examples of function calls using this package and then showing a demo of using the Shiny app. And note that each of the calls that I'll show is just a representative example. Each function in each package has many options that you may wish to explore when conducting your own analysis. First of all, let's look at publication bias. Here's an example meta-analysis that we'll look at. This meta-analysis examined whether playing violent video games is associated with increased aggressive behavior. As you can see here in green, the meta-analytic estimate of this association was 0.16. But the potential impact of publication bias on these results has been highly debated. Here's a sensitivity analysis approach to the issue. So we'll consider results to be affirmative if they're significant and positive, and results to be non-affirmative if they're non-significant or negative. And we consider a model of publication bias where there's some fixed selection ratio, and affirmative results are more likely to be published than non-affirmative results by this unknown ratio. Then given the actual observed affirmative and non-affirmative studies in the meta-analysis, we can ask how severe would publication bias have to be, i.e., how large would the selection ratio need to be, for the meta-analytic effect to be explained in a way, i.e., for the observed point estimate to be shifted to the null. The larger this value, the more robust the meta-analysis is to publication bias. Let's look at this sensitivity analysis in action. In the publication bias R package, you can use the function PubBiasSValue to find the value we were talking about, the selection ratio that would need to be present to attenuate the estimates of the null. All you need to pass to it are the y-values, the estimates from your meta-analysis, and the v-values, the variances from your meta-analysis. In this case, passing the data from the video game and aggression study, there's actually no amount of publication bias that could entirely explain away the point estimate, nor shift the confidence interval to include the null. Something we can do is change the value to which we are shifting. Instead of shifting to the null, we can find the s-value for shifting the point estimate to, for example, 0.1. Here we see that to shift the point estimate to 0.1, the selection ratio would need to be around 30. Affirmative studies would need to be around 30 times more likely to be published than non-affirmative studies. And to shift the confidence interval to 0.1, the selection ratio would need to be around 5. Under the same model of publication bias, we can also look at the complementary analysis of taking some fixed selection ratio, let's say 10, and seeing how much the estimate would be changed if that selection ratio were the case. So here for selection ratio of 10, the point estimate would decrease from the original 0.16 to 0.11. In the worst case, if affirmative studies were infinitely more likely to be published than non-affirmative studies, the estimate decreases to 0.09. Now I'll show you how to do a parallel analysis in the corresponding Shiny app. When you load the app, you'll see a place to browse to upload your own meta-analysis data. This needs to be a CSV file where each row corresponds to one estimate and there's a column for estimates and a column for variances. We'll use this built-in example for demonstration purposes. The inputs that appear at the top auto-populate and let you select which column in your data has the point estimates, which column in your data has the variances. If you need to switch the favored direction, assuming that publication bias favors negative effects rather than positive ones, you can change the direction and there's multiple different model types you can fit. You can fit robust random effects or fixed effects models and if you're fitting a robust random effects model, you can optionally add a column of clusters. At the bottom, you have your outputs. The left panel shows the corrected meta-analysis.  For example, if we set it to 10, like we were in the code, we see the same corrected estimate of 0.11. In the middle is the main sensitivity analysis, the S value, where you see how severe the publication bias would need to be to explain away the analysis. So as we saw, for shifting effect to the null, there's no publication bias that will achieve that. But if we set it to say 0.1, then we'll have 30-fold publication bias shifting the point estimate to 0.1. And finally, on the right, we have a modified funnel plot where you can visualize the distribution of affirmative and non-affirmative studies and you can compare the uncorrected pooled estimate to the worst-case estimate. Next, let's turn to p-hacking. The example meta-analysis we're going to use looked at studies of money priming, which investigate whether exposure to money-related stimuli can affect people's thoughts, feelings, motivations, and behaviors. Among all of the studies in the meta-analysis, the estimated effect was a hedge's G of 0.25. But on the subset of studies that had been pre-registered, the effect was just 0.02. So this difference raises suspicions that maybe non-pre-registered studies could have been subject to p-hacking. What is p-hacking? P-hacking can be thought of as manipulating results within studies to attain statistical significance. For example, through fitting multiple models, various other researcher degrees of freedom. P-hacking is often talked about interchangeably with publication bias, but there's important distinctions in how they operate and what the implications of those are. For illustration purposes, let's say that this is a set of p-values, each coming out of one study. The effect of publication bias is to filter which of these studies' results are published. So for example, for maximal publication bias, here we can say that the studies with p-values below 0.05 get published. We can think of p-hacking as a process where researchers iteratively obtain p-values using whatever manipulations they're doing, and finally arrive at a p-value that is then published or non-published filtered through publication bias. The resulting distribution of p-values is going to be biased very differently than the distribution from just publication bias. How do we use the actual distributions observed in meta-analysis to recover some sort of correction? We can get an intuition by thinking about the cases under which a study can get published. So we'll say that a study is hacked if it's biased due to p-hacking and unhacked if it isn't, and look at studies that are affirmative and non-affirmative. Let's assume stringent selection, meaning that hackers will always hack until they obtain an affirmative result or give up and withhold a result from publication. In this case, published affirmative studies can be hacked or unhacked, and their distribution is biased in a complex way and depends on the details of hacking mechanisms. But the published non-affirmative results can only come from unhacked studies leaving their distribution pristine. And critically, this is true regardless of what hackers might do specifically to obtain affirmative results. So whatever the distribution of p-values or z-scores of all studies is, the published non-affirmative studies follow a tractable distribution, a right-truncated normal distribution. We can get consistent meta-analytic estimates by modeling them as such and fitting a right-truncated meta-analysis just to publish non-affirmative studies. You might wonder what if there's less stringent selection and some non-affirmative studies do include hacked studies? And this could happen if some hackers give up before obtaining an affirmative result and end up publishing a non-affirmative result. It turns out that published non-affirmatives from hacked studies are usually downward biased, and so while the right-truncated meta-analysis is mis-specified, it will generally be conservative. Using the p-hacking package, it's straightforward to fit this right-truncated meta-analysis and see the results of the meta-analysis corrected for potential p-hacking. So you pass p-hacking meta just the estimates and variances, and you get estimates of both the mean, mu, and heterogeneity tau of the underlying distribution. And so we can see that in this example the estimate corrected for potential p-hacking is quite close to the estimate among only pre-registered studies, far smaller than the estimate among all studies. As before, I'm now going to show you how to do a similar analysis in the corresponding Shiny app. Like before, you have a place here to upload your own meta-analysis data or look at an example data set. And note that under the hood, this model is fit in the STAN probabilistic programming language because it's fitting this custom right-truncated meta-analysis model, and so it can take a bit longer to fit. Just as in the publication bias app, you can select which columns in your data have your estimates and your variances, and you can switch the favored direction for publication bias if needed. The left output panel has the analysis we were just looking at in code with the uncorrected estimate, the corrected estimate, and the worst case estimate. The other two panels contain some diagnostic plots. The center one is a QQ plot for the published non-affirmative studies, and these should cluster closely around the 45-degree line if the assumptions of right-truncated meta-analysis are not violated. And on the right, there's a density plot of the Z-scores of all published estimates, and this helps you see where Z-scores might be disproportionately concentrated. The implications of that are somewhat complicated, and you can read more about them on the app. Finally, let's look at multiple biases operating in concert. So in addition to a cross-study biases like publication bias, meta-analysis can be compromised by within-study biases, for example, unmeasured confounding and non-randomized studies. Critically, these biases often operate non-additively. For example, because publication bias that favors affirmative results selects indirectly for studies with more internal bias. So the sensitivity analysis builds on the method for publication bias by additionally considering distribution of internal biases across studies. This lets us ask a parallel question of, for a given severity of publication bias, so for a certain selection ratio, how severe would internal bias have to be, on average, across studies, to shift the point estimate to the null or to some other value? The multi-biased meta-package lets you conduct this analysis. So saying for a given selection ratio, for example, 2, this is the bias that would have to be present for the estimate and the confidence interval bound to shift to 0, respectively. Or if we change the selection ratio to 10, the amount of bias that would be required to shift the point estimate or CI bound to 0 changes. There's not a shiny app for doing this analysis soon, but it's on its way. It'll be available coming soon. To sum up, this tutorial has been about analyses that let you evaluate the credibility of a meta-analysis by determining how robust is it to a cross-study and within-study biases and their interaction. You can use the three R packages that I've talked about today to do these analyses, all three packages are available both on CRAN and on GitHub. And you can go to metabias.io to conduct all these analyses on the web through the shiny apps. Feel free to email me with any follow-up questions. Thank you for listening.


Alrighty so I have a construction update for you guys today, lots of work has been going on, all the footings are not done yet, in fact from what I can tell the station area isn't complete or if it is the electrical is installed and now it's covered up, I will say the big giant hole is gone so I'm going to assume the electrical work has been done but I haven't seen any evidence of the electrical work being done anywhere else on the site. With that being said they are keeping the old building, the sea line building so I'm assuming that might be the actual electrical room for the coaster but we'll see what happens with that. They have a pile driver on site that is digging and smashing the land so this is a man-made hill so they have to when they're digging these holes to put the rebar in for the footings they need to smash that down and compact it really well because it's a man-made hill they need to make sure it's extra strong for those footings. With that being said lots of areas going on back in the dinosaurs alive area with the rebar cages and the footings so lots of work is getting done, honestly we're getting close, we're in the curing phase of these footings so that could take up to 28 days depending on the type of concrete or cement that they're using so we'll have to see what's going on there. I do not have any information on track on site yet but I know that I'll be one of the first to know and I'll go fly the drone so I'll keep a close eye for you guys on that but yeah super exciting this ride definitely takes up a lot larger of a footprint than you would have predicted from seeing the blueprints of the coaster not the blueprints the rendering sorry so it takes from what I can tell it takes up a good like half portion or a little more than half it just takes it looks a lot bigger than I was to be honest expecting so it's gonna be a really nice project I'm really excited for this I know a lot of people are like they blah blah blah it's just a kids coaster I like well-rounded investments I love watching Wonderland turn into this new themed park and I'm really excited to see it continue again as you saw the new flat ride really well-themed so really excited to see 2023 at Canada's Wonderland comment down below are you gonna be one of the first people in lines for this new coaster at Canada's Wonderland in the spring thanks much for watching guys hope you enjoyed this update have a good one bye


Hello and welcome to yet another episode of Crazy Eleven. My name is Ndanya and guys today I spotted DJ Mo. We are somewhere outside Safari Park and he seated somewhere chilling. He does not expect us but let's do this. We are here. Hi. What's up? I am here. We are here for a meeting. We are here for a meeting.  I am going to be asking eleven questions. 11? Random. My goodness. If you are not a DJ, what will you be doing? I will be a Safari Rally Driver. No, pender speed. I love. What's the craziest thing a fan has done to you? A crazy thing that a fan did to me, to me a present but I didn't know who it was. I didn't know it was just a fan. What was the present? Shoes. Okay, at least shoes. At least shoes. No. 8. No. 10. Too bad. What's the biggest character development you've received? I was in secondary school. I was in a letter. I was called Angle but an Angel. That is embarrassing. I replied and said, I was going to buy a red. And that was it. So from then I was going to write letters. Never ever. Okay. Will you lose your sight or memory? I think my memory. I would choose sight than memory because with sight it can always be. It's easier for me. I can actually create my own artificial memory because I can see something. But with sight, I think in the field I can't go to a giz all the time. So I prefer sight than memory. Okay. Why me? It's me to ask. But same, I prefer sight than memory. That's good. Will you rather live on extreme hot sun or extreme cold weather? I love sun. Yes, I survive best in hot places. What can't you live the house without? My watch and my phone. Yes. What would you describe a good day to you? A good day to me is when I've gone somewhere and I've made a deal. Basically I've made this person to mefanya bieshara. Pesa? Bieshara. Bieshara. So adil is equal to a good day for me. Adil is equal to a good day for me. Adil is equal to a good day for me. If you are given a chance to punish social media bullies, what will be the punishments? I would block all of them and make sure that they have no access to internet. Weka ni buli. Ya ni tuho unangah internet. Uko tu offline, offline, offline. Imagine that's it. She was that quick. That's it. So who is in the nya? And the nya is a commercial model and a host. If you are in a house, what would you be? I'd be an actor and a DJ. Serious? If you want to become a DJ one day, I'll give you free classes. For sure. Check it out by the way. I'll give you free classes for one week. I'd love us to find your interview to when I come over. Our interview is over. Thank you guys. I have not told my people when we need to tell them to like and subscribe. Follow you subscribe, make sure that always weko pala kwa YouTube. Ya crazy 11. Thank you. Can I come?


Well, hello and welcome to Understand Men Now. I'm Jonathan Assey of JonathanAssey.com and I'm so excited to be shooting this short video for you today. Our topic, The Secret to a Long Distance Relationship. Real quickly, if you haven't subscribed to my channel, please click one of the buttons and click the bell so you can get notified. And certainly check out the links below because there's some great content there you might want to check out, including a free gift. OK, our topic, The Secret to a Successful Long Distance Relationship. Now, when we think of long distance relationship, let's break this out to a couple different types of relationships. Because in the reality of today's world, if you live more than 30 minutes from one another, you're practically in long distance relationship. And here in Los Angeles, where I live, someone could live 30 miles away and that could take literally an hour and a half to two hours to get to see each other. And certainly long distance, we could think of a plane ride away, a train ride away. There's various different types of long distance relationships. So let's think of some of the challenges with long distance relationships. A good, healthy relationship typically requires proximity for it to be successful. In other words, the closer you are together where you live, the more activities you can do, social activities, hobbies, mutual interests, spending time with family and friends. Those are the roots that develop a long term relationship as well as intimacy. So this is one of the challenges with the long distance relationships, is that if you have a fair amount of distance from one another, how are you going to build those roots for a successful relationship? So I want you to think about the secret to a long distance relationship is building the roots. And depending on if it's a plane ride away for your long distance, for some people it could be a completely different country, or is it just a 30-minute drive or an hour drive, that sort of thing. How are you going to build the roots to a successful relationship? And if you're not familiar with the work of John Gottman, I want to introduce you to a book that he wrote called Eight Dates. Eight Dates because he talks about the eight fundamentals for a successful relationship, which includes intimacy, spending time with family and friends, conflict resolution, that sort of thing. Because ultimately for a successful relationship to work out, you're going to have to navigate most likely the eventual challenges that you might face if you are eventually in a face-to-face relationship. So one of the most important things you should consider before you ever enter into a long distance relationship is do the two of you have a plan to take this from long distance to short distance? Short distance, let me make it that way. From long distance to short distance, do you have a plan? Has each one of you given thought to a plan of how you're going to take this distance and bring it closer together? Because sadly, naively, many women, and men too, but mostly women, think, oh, if we love each other, everything will just magically work out. And that's not the case. In fact, when John Gottlin wrote his book, it's because he recognized that love doesn't create a successful relationship. These eight fundamentals is what creates a successful relationship. So I highly recommend reading this book as a preparation to even consider a long distance relationship. In fact, to consider any relationship, it's good to have these fundamentals down. But the secret to a successful long distance relationship is having a mutual plan, how are you going to take this distance and bring it closer together? Or at least somewhere with all. Now, if the man you're talking to hasn't even considered it, is navigating just on this blind faith that if the two of you work out, I think you could be setting yourself up for failure, because the bodies are piled from here to the moon from women who thought the man knew what he was doing. In fact, most of you ladies really appreciate that you like the idea that the man is in charge and he's the leader of a relationship. And I'm here to say that the reality is there wouldn't be so many books written about commitment phobic men and emotionally unavailable men if they really did know this. So one of the things I encourage my clients to is to recognize that you are in charge of your relationship destiny and you are in charge of the container, the emotional container of the relationship, which is why I want you to begin to introduce personal development in your daily practice or your daily dating practice as well. By reading the books I recommend, if you've been following my channel, I recommend all kinds of books, including Getting the Love You Want by Harvelle Hendricks, Their Non-Violent Communication by Marshall Rosenberg. I mean, the list goes on and on to prepare you for a healthy, happy relationship. But ultimately, a successful long-distance relationship is if you want to be eventually living together, getting married, you're gonna have to figure out how to go from here to much closer here. And sometimes it's very dangerous when you choose to go from here to living together. That can be very problematic, but that's for another video. Okay, the secret, the success, to a successful long distance, having a plan, how you're gonna take that distance and shrink it to being much closer together. Okay, I hope you found value in this video. I'd like to hear your thoughts. Please post a comment below if this resonated with you. If there's something you wanna say, bring it up. Let's talk about this, hit the like button if you appreciated this.  The link is there as well as a cop, my book, what the heck is self love and also a free gift. Okay, I'm gonna wrap up this video as I always do, giving you a big, gigantic job and bear hug if I have your consent. Thank you, wishing you a wonderful day. Thanks so much, bye-bye now.


All right, it seems like we've made it, detectives. We are finally here in this evil town. Hey, let me play a song, man. It's my turn. What is up, you guys? Real is the game in here. Today, we're here alone in a dark house. But we're not quite alone, as you can see. We're with some other yeet squad members, stuff, y'all. And today, we're gonna be playing this game because you guys did recommend it to me in one of my previous videos when I did... I forgot which one, but it was a horror game, which most of my videos are horror games. All right, so we're gonna be doing that for today. If you're new to the channel, make sure to slap the like button, subscribe, and turn that notification bell on, because it is free 99. Yeah, free 99, man. Come on, it costs you zero roll bucks to do that. All right, so let's begin with this December, 1996. West Helena, Arkansas. Oh my God, okay, so we're in 1996? What?  Okay, this seems interesting. Find what happened to the Smith family. Oh, like, Mr. Mr. Smith, try your best not to die. What if I just sacrifice one of these guys so I won't die, turn on the electricity? Okay, so we don't have a flashlight? Dude, it's so dark. You can't even see a thing in here. Dude, there's a teddy bear in the middle of this living room, okay? That is creepy already. My God, what's up with these paintings? So weird, okay, that's a little odd. Hey, stick together, guys. Great, he has a flashlight. How'd he get one? Okay, there's a bookshelf. Let's look for the, like, oh my God. Oh, he has a key, okay, the TV turned on. That is a bit strange. You're not alone.  Oh my God, what is going on? Okay, so it seems like we are not welcomed here at all. And let's get out of that living room because it is possessed. The TV is possessed by something. Oh, there's a key right here. Okay, so I got a silver key. Oh, we can jam out here, too. Okay, nice, oh, press J for tutorial. Okay, unlocking doors, okay, whatever. Left click, then right click, move object. Left shift front, see the crouch, unlocking doors. Press against the door with the key equipped to unlock. Okay, so that's pretty basic. Didn't really help us out with anything, but okay. As long as they got a silver key, we can progress. My God, dude, why is this so dark out here? Okay, August 15, 1996, at 18 years young, Eric Smith passed away after walking home from a brutal car accident near the Helena Bridge. Eric was driving a vehicle at night after a family gathering with his parents, Andrew and Bella Smith. The parents have not been found since the incident. Local Air National Guard released a search and a rescue team for the two and Helena Police Department detached an investigation on the incident. All right, so that seems like some crazy stuff went down, man. Rest in peace to Eric Smith. He died at 18 years. Yo, that is pretty young, man. All right, so it seems like there might be a lot of paranormal activity stuff going on here today in this video, so that should be awesome. Okay, let's go upstairs. Hello, anybody here? There's a toilet. Okay, there's nothing behind this, nothing creepy. Okay, do have this key. Oh, I think it might have been for this. Okay, there's a computer. Yeah, there's no electricity for the computer. Great, so we need, oh, what is that? The circuit? Oh, okay, so that is Roman numerals. That might be like a code for the computer. Okay, so let's go find this circuit box so we can put the fuse and at least get some power going on because it is a little too dark. Oh my God, okay, so I just moved the carpet and I found this creepy room down here. All right, let's go in here. My God, it's way too dark. Hello, okay, there's the health kit. Oh my God, why did I use that? Okay, we're moving crates now. Okay, you know what? I'm gonna take this crate with me in case something appears. I can just throw this at them just to keep myself on the safe side and pick this up and place it here. Okay, so I was kind of right about going up here on the crate, but we go the opposite way, which is here. My God, it's a little too dark. Dude, is this sewer right there? Okay, a little spooky, circuit. Oh God, okay, it's a dead end over here. Oh, there's a door. Okay, this door is locked. And where are the other guys? They left me here alone. Oh my, I hear about my lonesome with this broken door. Oh my God, what happened to this door? Okay, let's take these crates out and clear this passage away. Hopefully it leads me somewhere. And I'm climbing on the box, aren't I? Okay, let's take it out all the way and there you go. Okay, where does this lead us? My God, there better not be like a ghost monster here, man. Oh, another medic kit. Okay, what is that, a buck? Is that money? Why would I even want money? My God, we're like in some secret room. Okay, be careful. Dude, I just saw that wood move. Okay, there's nothing here. Just an old, empty room.  Oh, like money. How do we get the money? Oh, we can get the money, actually. Give me the money. Well, at least give me the teddy bear. Oh, because I have this in my hand. Bruh. Okay, oh, we can carry the teddy bear. Okay, you sit here and do not move, teddy bear. Dude, all these doors are locked down here. Like how in the world am I supposed to find my way with these doors being locked all the time? Oh, wow, dude, you can climb this thing. Come on, yo. Okay, let's see what's behind it. Okay, I need a crate to climb over. How am I supposed to get over here with the crate if I can't even go around these? Okay, let's try it. Okay, so how do we climb back? Okay, there you go. Okay, so we're supposed to get a crate and bring it over those boxes somehow or those, whatever you wanna call it, man. Okay, let's try this. Yeah, I don't know how this is gonna work, but here goes nothing. Dude, I can't even climb this. Oh, there you go, come on, yes. Okay, so it does work. My God, it's going everywhere because of the physics of the game. And I'm walking on the box. Okay, thank you. Finally, I found where I can place this. Okay, nice, turn that on. Open the safe computer. Maybe we can use the computer now. Okay, I can search something useful on the computer. Let's try this. Okay, how do we use this? Safe code PNG 7540. Okay, before we go over there, let's see the picture. Got a little too excited, sorry. Okay, family photo. Yo, that is creepy. Why am I hearing creepy music? Documents, oh, let's read this. I received Eric's mental health records from Helena Regional Medical Center from Dr. Leelak. Eric's file shows a previous record of extreme anxiety. The doctor stated that Eric was speaking in a different language, and she asked him what language he was speaking. Eric didn't respond. The doctor sent him home with his parents and registered Eric into rehabilitation. I'll submit his medical records to the local police as evidence for more investigation, Jay Harper. All right, so as we can see, Eric went a little cuckoo from as accident or something, or even before the whole accident happened, I mean. 7540, okay, let's go over here. Yeah, that is one weird painting. 757540, open. I found the key, rusty key. And why am I hearing doors open? Okay, is this for here? No, it is not. Come on, man. Okay, there's two other doors over here. Guys, am I here by myself? Oh no, it's only three of us. Okay, so someone died. And there's blood in this room.  Can we look in here? Can we look inside this little peephole? I'm clicking it, okay, we can't. Oh, there's money. Okay, I don't know what that hole in the wall is for. Maybe somebody's, there's a knife. Okay, we can possibly cut our watermelon now. It's awesome. Okay, let's take the key, brass key. I have done what I needed to become unstoppable. Yo, what was that, man? Chill, bro. Oh my God, to become unstoppable. Two of what I cherish sacrificed to the ritual, as well as myself. I shall become immortal and continue to listen to first legacy.  But as well, as if we can read from the notes he left behind. Oh my God, there's a trail of blood. Okay, so I have another key. I'm hearing like a laughter or breathing. Okay, this is not for here. My God, that took me forever to figure out. All right, let's move on. Oh, more money and a different key. Okay, let's see what this key is for. Dude, can you like close for a second, thank you. And we got a steel key and some more money. I'd be for this one. I'm crossing my fingers, hopefully it is. Oh, it is. Okay, sweet. What is that? Oh, the crowbar. Yo, why did you take my crowbar, man? Oh, oh my God, yo. Is he chasing him? Did he get him? Is it just the two of us? No, he's alive. Where, what? Oh my God, okay. Did he go down here? I mean, hopefully he did. No, he didn't. Okay, there you go. Use the crowbar, come on. We got no time, bro. We need to get out of here. Crowbar, where? Dude, right here. Okay, nice. Some little abby parkour. Dude, he just died. Okay, we gotta be careful where we step, man. Can we place a plank? Oh, great, it just fell. There's a box there. Oh, you take damage from the water. Okay, we gotta be careful. Oh, we keep seeing these numerals everywhere. Okay, more money. Hey, my money, man. It's my money and I need it now. Okay, let's place these crates.  All right, man, let's keep advancing. This place is getting creepier as we go. Dude, this is a nightmare. We have to jump across all of this. Here goes nothing. Oh, nice, I made it. Okay, jerry can. What are these jerry cans for? Oh no, he fell. Oh my God, no. Great, so now I'm all left alone here. So now I am really alone in a dark house. Aha, so you create a stat that I would not be able to get rid of you, huh? Well, second guess this. Oh my God, they're on fire. All right, nice. So can we just burn the house down so we can get out of this place, man? Because I do not want to be here all alone. As you can see, my other comrades have died on me, which is not cool, man. Okay, oh my God. Oh, oh my God, no. Eric, it's time to end this old friend. Is he gonna run at me? Stop where you are right now. Eric, bro, tell me what happened to you. What's going on? Oh my God, can you stop twitching for a second though? Okay, I'm ready to close the door if he runs at me. You don't remember. Do you? I have simply found my true self. Agony and paid, I have become someone else. My God, okay, so this guy is 100% evil. Contuned by my own darkness, I have become something else. You, you are me. What? What are you talking about? I don't remember any of this. Dude, this is getting freakier. Wait a second, this is my house. What, this is our house? What did you do to me? My God, you killed my mother and father. Okay, this just got personal, man. This. Okay, we can't walk closer to him. This is the end for you. Oh my God. No. Oh my God, run. Why am I not running? Oh, dude, he's right behind me, close the door. Okay, and just like that. Dude, he keeps appearing like right on me. Oh, fine clues to open the safe. Dude, didn't I open the safe already? Oh my God. Oh, somebody help. I'm being chased by this maniac. Oh my God, he keeps appearing then. Ow, ow, no. Ow. You can't stop me. Dude, why is there two of them? Oh, okay, this is not good. No. We just got attacked by like two ghosts. Wow, and that just happened. I assume that's the ending because, I don't know what else we could do. Like, what else did he do besides that? I mean, I wasn't able to run away from Eric. He would appear and he was basically teleporting wherever I was, man. There was no running away from that evil guy. So I assume this is the ending and we died in the end. And that was a crazy turn of events, man. I don't know. This game was awesome overall, man. If you guys have any more scary or horror games from Roblox, let me know in the comments below because this was totally awesome. All right, you guys, well, thank you guys for watching. Thank you guys for the amazing support. If you guys enjoyed the video, make sure to slap the like button. Hey, man, you died back then and you left me alone. I was afraid for my life, buddy. That was not cool. Did you escape? I died by Eric. I died by Eric, man. I don't think there was an escape to that. I don't know if you guys know anything else that I missed, let me know in the comments below, man. Well, if you guys are new to the channel, make sure to subscribe and turn that notification bell on. And I will see you guys in the next one. Bye.


Overall schools are becoming safer and safer with the government finding that between 2009 and 2020 non-fatal crime rates dropped for students ages 12 to 18 from 51 to 11 victimizations per 1,000 students.


So now the dust has finally settled and Jadevian Clowney is headed to Tennessee Man, I'm a Ravens fan and it looks like the Titans won over on the Ravens again Because we talked about earlier how the Ravens they made a strong push to sign one Jadevian Clowney But wasn't as strong as a push as the Saints So I knows a lot of Saints fans got to be hurting right now What went wrong? Was the food bad or was Jadevian Clowney just trying to get a free meal? It's crazy because I talked about it in the video I don't even remember if I put the video out or not. It's been a crazy couple of days, but I talked about in the video that The dinner them visiting with him It didn't guarantee anything it didn't guarantee that Jadevian Clowney was gonna sign with the Saints But I felt like the Saints with a team I felt like they had the biggest chance to land in Jadevian Clowney I feel like it was Saints Titans and then Ravens But Titans end up coming through and right now as of the recording of this video it's said to be a one-year 12 million dollar deal and We'll see how true or not that is but this good signing for the Titans Good signing for the Titans Like I said when we talked about it initially that the Saints and the Titans were really pushing hard for Jadevian Clowney, we talked about the benefits of going to either one of those two teams for one Jadevian Clowney and Jadevian Clowney he can bring Of a very disruptive game to the Titans obviously on defense.  It's good for just that the defense has a whole Dean P's Dean P's former Ravens defensive coordinator So yeah, he Titans y'all got to go Y'all got a good one and and this is something that makes both sides happy It's crazy because from forget Madden told us that he was going to the Titans a long time ago. Y'all remember Madden had a clip. They had some type of trailer that had Jadevian Clowney on the Titans and this was months ago And now it's come to fruition Titans have been a consistent team a team that's been involved in the whole Jadevian Clowney thing from the beginning Titans GM said months ago. We're interested in Jadevian Clowney, but we want to bring them in for a physical and I remember when he said that I thought oh, yeah, he just he's just talking that talk He just talking that talk. I didn't believe him But they they were one of the teams because it was some teams that were listed that that were interested in Jadevian Clowney But Titans were one of the it was like Seahawks It was Titans things have been listed for a little while too But not as long as a Seahawks and the Titans Titans have always been their names have always been around Jadevian Clowney This entire offseason now they get that guy and for Jadevian Clowney he gets to Get at Bill O'Brien two times a year Because he gets to play the Texans and now you know the Ravens we got to play him again It's like we played him last year when he was on the Seahawks Played him again when he's on the Titans But this is a good pick up and again with Jadevian Clowney He not only brings a disruptive pass rush, but he brings somebody that helps big time in the run the fence Big time in run defense. That's his real specialty right there This is a good move for the Titans man. I mean, I really think this would have been a good move for any team Because you get you also get a happy Jadevian Clowney too Because one of the reasons why I say he's happy is because he has a full belly because he he ate and it was all on the saints he had a nice full like seven course meal all on Sean Peyton in the Saints all The money and stuff and and the the restructuring that the Saints did or we're thinking about doing Jadevian Clowney he got all that All of them they came out to his house Meal they came all the way to his house. He had a meal on them and He's going to the Titans. Oh, man. Oh, man.  You can't get to me. It's a business It's a business That's crazy. Wow But anyway, Titans are getting a happy Jadevian Clowney like I said because he has a full stomach His belly is all the way full But then he gets he gets paid a decent amount of money if it's gonna be a one year 12 million dollar deal like they saying Or whatever whatever it's gonna be Cuz Titans were the one out of the three teams listed recently between the Saints the Ravens and the Titans were the one with the most money They were the one with the most money. So and apparently Jadevian Clowney. He went to the money and It's like with Jadevian Clowney all these there's been a lot of rumors that get put put out about Jadevian Clowney And he obviously doesn't talk much. He doesn't say anything He's not out there in the media having all these interviews and stuff saying all this and all that But all the rumors that come out about one Jadevian Clowney by his actions They end up being true. They end up being confirmed One of the people say Jadevian Clowney. Hey, he chasing that money boom Went to the Titans, but at the same time he wanted success Because if it was all about the money and strictly about the money Then he went to the Browns a long time ago long time ago And if the Dolphins deal if the Dolphins offering him a deal was true if that rumor was true Then he would went to the Dolphins a long time ago, but he went to neither So he went to the Titans a team that was successful last year and they're looking to have more success this year So that that was that ended up being true that is by the money and success to them And then the other rumor he hates training camp He didn't want to take part of no training camp and he and he intended to sign with a team before week one But after training camp so right in that little window. What happened boom now. He's going to see oh Boy he may not be a fan of Creole, but I hope he likes barbecue. I mean he's from Houston So you gotta like barbecue. I mean well he lives in Houston. So you gotta like barbecue boy Like me as a Ravens fan. I'm not mad at all. I Actually feel for Saints fans though because it was looking I was thinking eight Saints Saints Saints Saints Saints It was looking like every everything everything was leading up to him going to New Orleans everything boy, but That's that now man Now he's headed to Tennessee Look does the Tennessee play New Orleans this year cuz I could add like a little bit of fire to the To this whole thing man. Let me just check Titan schedule real quick Titans 2020 schedule Oh, please let them play Tennessee. Please. I mean not Tennessee. Please let them play the The Saints come on. Come on NFL. Come on NFL. Come on NFL They don't okay, it's all good man It's all good But congrats to the Titans fans. I know y'all happy Titans fans are familiar with your David and clown II from when he used to play with the Texans So as long as he stays healthy As long as he comes in ready motivated ready to go You got yourself a good one man. Happy for y'all except when y'all play us I don't know David and clown II but Ravens gonna they're gonna take care But thank you be clean appreciate y'all. I love y'all and Just like Sean Peyton on his jet when they went to Houston I'm out