Thanks Richard and thanks also to the organizers and especially to David Gossett for bringing us all together This is a really great conference, and I'm excited to be a part of it As Richard said I'm going to be talking about characterized incoherent errors efficiently robustly and simply and this is joint work with the theory that I'm going to be talking about is joint with Ted Yoder who is here somewhere and Guanghalo and then the experimental results that I'll be showing We're in collaboration with Kenny Widinger and other experimental folks at Sandia and Robin Bloom Kahoot is maybe here from the Sandia crowd Maybe a couple other people as well Okay, so I think it's a really exciting time to be in this field of quantum computing because we are just Quickly being surrounded by these prototype quantum computers Well because IBM is hosting us I get to put a picture of their device on the cover slide But there are lots of other companies and also academic groups that are building these devices that are on the cusp of Doing new and exciting things But I think the question that we're here to address is what are the challenges? That face us in order to move beyond these prototypes and move towards quantum computers that can do novel things that classical computers can't do And I really like Jay's kind of metaphor this morning that we need to think about this progress not just in one direction in the number of qubits but kind of thinking about increasing our quantum volume in terms of having Cubits that are not just not just large systems, but also systems that are Accurate and think about the many dimensions in which we can improve our quantum systems So for me the kind of access of this quantum volume that I'm the most interested in is how we can come up with good calibration techniques so how we can improve the quantum systems that we already have and Hopefully get below kind of the fault tolerant thresholds that were we'd like to eventually get below Okay, so calibration is a really important procedure in building a quantum computer Calibration basically what I mean by that is you need to be able to quickly and easily tune up hundreds or thousands of cubic gates on the slide I wrote Potentially multiple times a day in some systems you might have to do this calibration multiple times an hour and just I think even this morning we had a demonstration of this Jay was putting up that picture of the 20 qubit system that IBM is developing but saying that well We're still in the process of calibrating this and benchmarking it like this process of calibration can really be an incredibly time-consuming process So I'm really interested in how we can come up with better ways to calibrate quantum gates So when I say tune up this calibration procedure what what I mean by that is we need to be able to Detect and correct in particular what I'm interested in our control errors So there they're always going to be some errors that we cannot control in our system That's why we have you know fault tolerant quantum computing We expect that there will always be errors that we can't deal with But a lot of the errors that are occurring in our system are due to our own control that we are you know Trying to address these quantum systems and we're not doing it correctly But if we could better address these systems if we had more precise control Then we could improve our gates So in this talk I'm going to be particularly interested in how do we detect what has gone wrong with our control Because the the detection is something that's kind of universal across many different types of devices Well once you've figured out what has gone wrong how you actually correct what has gone wrong that that will be different Depending on the lab and depending on the physical system But the detection part is kind of a universal process that can be applied no matter what your building blocks are for your quantum computer Okay, so I'm going to I'm interested in detecting these errors or in otherwise characterizing control errors So there are certain what I'll call does it errata That we'd like any characterization protocol to have We would like it to be easy fast robust and useful And I'll explain what I mean by these words Okay easy Well, maybe that self-explanatory it should be able to be run in the lab with minimal effort But this is actually kind of a high bar to get over because if you think about it every single lab that is building a quantum computer They already have some in-house method for calibration That they've been using and you know It's probably been working pretty well because they're getting up to eight twenty cubits whatever so it's so far It's been working pretty well. So any new method that I devise Even if it's slightly better than the current method that the lab is using if it's really hard to implement like the the cost Benefit analysis is not going to make sense for an experimentalist to totally change the way that they're doing things for kind of a Minimal benefit, but the easier I can make this protocol The more likely an experimentalist will will be to kind of take this and change their current setup and and modify it Time is quantum money the faster you can do these characterization and calibration procedures the faster you can get on to the interesting work of Doing quantum simulation or adiabatic optimization or whatever it is. We are trying to do And if you're having to do this say multiple times an hour multiple times a day You would like to spend as little time doing this calibration as possible By robust I mean that it should be accurate even Under a lack of knowledge about other parts of the system like these experimental systems are very complex. They're very messy That's just totally unreasonable to expect that we perfectly understand all parts of the system So somehow we'd like to be able to calibrate very specific parts of the system Even if there are kind of tangential or related parts of the system that are causing errors that Might affect what we're doing. We'd like to be able to get accurate knowledge about one thing even if we have inaccurate or uncertainties about other parts of the system And especially when we talk about robustness A term that comes up all the time is spam And spam stands for state preparation and measurement errors And that's kind of a typical of this Extra kind of uncertainty in the system. Generally, we're interested in characterizing the gates and gate errors But often there are errors associated with the state preparation and the measurement That we don't know about but somehow we'd like to still be able to characterize what happens with the gate Even if we don't exactly know what these errors are that are occurring in the spam But the robustness can be more general than spam. You can be robust to all sorts of different uncertainties throughout your experiment And finally it should be useful for this calibration Process for me calibration means figuring out what's gone wrong with your control error and then fixing it if you're Characterizing something that doesn't actually tell you about your control error Then it's not actually useful to fix that error Maybe you learn something about whether you have an error or not But i'm not interested in whether an error has occurred or not. I'm interested in actually fixing the error So that information that I get out should be useful to try and fix the error Okay, so what I'd like to do now is give you a kind of a rundown of the landscape of Different characterization protocols and where they fall in terms of these criterion Okay, so ad hoc methods by this I mean kind of whatever is running in the experiment right now Like the lab has been doing something for the past, you know three years to calibrate Um And what are they doing? Well, I don't know it's probably something that a grad student like coded up five years ago And no one's really thought about since then and the benefits of of this characterization protocol are that it's easy it's easy because You know it's already running and it's doing what it should be doing and it's useful enough that you know However, it's doing it's it seems to be doing a pretty good job But probably There's hasn't been a lot of thought into whether it's the fastest method possible or it's the most robust method possible The textbook approach to characterizing errors and detecting errors is a quantum process tomography And I would say this is a really relatively easy Method to implement in that like I mean if you read neilson and tron you can kind of pretty quickly understand what's going on it's kind of easy to to get Go from measurement to information about the errors It is I put the useful kind of with parentheses around it because What quantum process tomography allows you to do is to fully characterize everything about a gate error But a lot of times that's almost too much information When we're interested in fixing control errors Like experimentalists tend to have a couple of knobs that they can control they can't control all every single parameter So we're especially interested in Getting targeted information about the knobs that we actually can control not about every single possible knob that we can't control So this is almost too much information to make it It's like overkill and also quantum process tomography is neither fast and it's very not robust Okay, randomized benchmarking is a procedure that has kind of taken the Experimental world by storm in the last Five to ten years It was really exciting because it's a it's a robust Protocol so it's robust to these spam errors that I was talking about. It's also very easy to implement. It's quite fast If you don't know what Randomized benchmarking is it's not that important But the the key thing that's is important about it is that it's not useful for this Problem of calibration It's not useful because the end result the the thing that you get out of randomized benchmarking is an average fidelity It just basically tells you how bad your gate is but it tells you no information about in what way is your gate bad So in terms of being able to use that information to fix the gate. It's totally unhelpful Okay, gate set tomography is a protocol that has been really developed by the folks at sandia And it is robust which is great but It is not so great on some of the other Things that we'd like it to be so I put easy and useful kind of in parentheses So this protocol is easy in the sense that you can outsource this whole protocol to sandia Um, so you tell sandia some a couple things about your system and they tell you what data to take You send them the data after you've taken it and they analyze it. So that's great That's like a very low overhead for you as a lab to figure out Although there's this huge black box, which is sandia. So you have to really trust sandia Maybe trust robin in particular, which you know anyway And then at the end of the day, what do you get back? At least the last time I checked you get back like how many pages 20 pages worth of material about your system It's html. Okay But some large website about your gates And then if you just want to know how should I turn knob b? Should I turn it to the right or to the left? It's going to take you a while to kind of sort through this and figure out What information do I really need to quickly calibrate my gates? It is also very not fast It seems you know for two cubits you'd have to be taking for two cubit gate You'd have to be taking data for quite a long time So in terms of having a fast calibration procedure where you're detecting errors trying to fix them Seeing if you fix them then maybe fix trying to kind of do this back and forth with detecting and fixing errors It's just not feasible for that kind of use Okay, so sexy adaptive machine learning strategy I'm not thinking about any like one particular strategy But I think the field like there people are coming out with these new ideas For all sorts of procedures that sound really exciting But then if you actually talk to an experimentalist about implementing it Like I dare you to talk to an experimentalist and tell them that you have this really awesome adaptive method and see how far their eyes like shoot out of their foreheads because You know doing some of these things are just not practical to do in the lab So even though these these new procedures are can be fast robust and useful. They're just Too complex there's too much of a barrier to entry and experimentalists often won't be excited about doing that Okay, so the answer what I'm going to be telling you about today Is the protocol that I've been working on robust phase estimation and of course It checks all the boxes. What do you know? It really does okay So let me I'll go through each one. So it's it's very easy for experimentalists to implement The type of Experiments that you need to take to do this procedure are basically identical to robby robby or ramsey sequences That the lab is probably doing already like the lab is probably already doing these sequences in their ad hoc method So i'm just going to have you do the same sequences But kind of analyze them in a slightly different way and hopefully take way less of them than you're already taking Because my goal is to do this fast. It's also non adaptive. It's simple to analyze You don't need to send tons of data out to sandia You can write like a couple of lines of code and analyze it yourself and feel confident that you know What's going on and there's no there's no mystery involved It's fast so this the scaling of of how quickly you can learn Parameters is it's has heisenberg scaling which basically means optimal scaling So it's within a constant factor of the kind of absolute best you could possibly do It's also robust to spam errors as long as those spam errors are not too large and i'll get to that a little bit later Um, but it's actually it's not just robust to spam errors. It's robust to errors in any part of the system And i'll also get to that later too So i said, you know, ideally we would want something that can give you an accurate picture Even if there's a lot of uncertainty in all other parts of the system and this procedure has that And finally it's useful in that it directly learns The parameters that experimentalists tend to have control over so experimentalists tend to have control over say under and over rotations of the gates And some other parameters and these tend to be the parameters that this protocol can Detect so that the types of errors that experimentalists can actually fix robust phase estimation can actually detect and give experimentalist information on how to exactly how to fix those errors Okay So I've been singing the praises of this protocol and i've been saying it's so easy so easy So if it's so easy, I should be able to explain it to everyone in this room in the next, you know, five to ten minutes Without it being, you know, hopefully everyone in the room will understand what's going on by the end of this Okay, so let's let's talk about characterizing a single qubit say over rotation or under rotation So a single qubit gate we can model it as a rotation on the block sphere So it's defined by an axis of rotation and an angle of rotation So let's just assume we don't know we want to know how much are we rotating We're concerned that we might be rotating too much or we might be rotating too little So we'd like to learn this unknown parameter theta Okay, so we're going to work up to the full Characterization procedure, but the first thing I'd like us to consider is what happens if we have a perfect experiment So in a perfect experiment, my perfect experiment is we have perfect state preparation We have perfect measurement And we know everything about this gate. We know it's a perfect rotation We know it's axis of rotation. The only thing we don't know about it is this angle theta Okay, well in this kind of idealized setup What you could imagine doing you can kind of you can choose your state preparation and your measurements such that By doing this the outcome you have a two outcome measurement and the probability that you get outcome zero is theta over two pi And the probability that you get outcome one is one minus theta over two pi So you just repeat this experiment many times and okay, you wouldn't get heisenberg scaling You get stated quantum limits scaling, but at least This type of experiment you could perfectly learn get an unbiased estimate of theta Um and here throughout i'm going to be kind of ignoring there are lots of mod two pies floating around that i'm going to be ignoring Okay, but Let's make this a little bit less perfect in any realistic experiment. We're not going to have perfect state preparation and measurement We're going to have these state preparation and measurement errors So you can imagine this as some unknown Operation that occurs right after state preparation and right before measurement that kind of mess things up And now when we try and do run the same experiment what happens we end up with a bias So instead of getting probability of one Or a probability of zero being exactly theta We're now shifted By some unknown amount delta and that unknown amount is basically comes from our Our lack of knowledge about what's happening with the spam and this is a very realistic kind of situation in in the lab Okay, so the basic solution is we're going to instead of just applying the gate once We'll apply it k times in between state preparation and measurement And now we're still imagining that it's it's a perfect rotation So if we have this rotation that was originally theta and now we were just repeating it k times This is the same as doing one rotation by k theta So in this case the probability that we get outcome zero is now just k theta But again with some bias Because there's you know the the spam is still there it's still acting and now the bias might depend on The number of times we've applied the gate as well Okay, but that's it. These are the experiments that were that you need to run to do this robust phase estimation You need to prepare a state apply the gate many times and then measure so how do we Use these types of experiments to figure out what theta is So we're going to do a series of these experiments and i'm going to track our knowledge of our estimate of theta over time So i'm going to put it on this unit circle So imagine that the true theta is where that arrow is pointing And the first experiment that you should do for robust phase estimation is the kind of standard Apply the gate once and measure and this we said has a bias of delta So if you were to repeat this experiment a couple some number of times You would get an estimate of theta plus delta So let's put that up on the unit circle and it's not going to be close to theta It's not going to be close to the true theta. It's going to be off because of our bias Okay, but what we're going to use this initial estimate for Is to restrict our future estimates. So we're going to say based on this initial estimate We know it's off by a little bit because we know that there was bias in our estimate But we don't think it was so far off like we know we have errors, but we don't think that they're catastrophic errors So what we're all we're going to say is from now on we think that the true value of theta is Kind of not on the opposite side of the circle Okay Then we run the experiment with two repetitions of the gate And this will get us an estimate of two theta plus delta plus some bias And then when we divide this by two and then because of the kind of modular arithmetic that's involved We end up getting there are two values of theta that are consistent With the data from this two rotation experiment But only one of those estimates will be consistent with our kind of prior restriction to only one half of the unit circle So whichever one will be allowed one will be not allowed So we're going to take whichever one was allowed and use that as our new estimate for what theta is but the nice thing here is that the Amount of bias has gotten divided by two So the error has now effectively gotten a bit smaller. So our estimate should be a bit better assuming that the bias is not increasing Okay, so then based on that Based on this two rotation data, we're now going to restrict again and we're going to say that We're going to kind of narrow things again by a factor of two centered around our new estimate And we're going to say from now on we don't think the true value of theta is in this blacked out region Next we go up to four rotations and do the same thing There'll be four values on this unit circle that are consistent with the data from this experiment But only one of them will be consistent with the kind of region that we've blocked off based on our previous estimates So every time you just divide the kind of allowed region by two and update your new best estimate based on Your new data, which will always be biased But you get increasingly Better and better estimates as you go to longer and longer sequences Okay, so this is the whole procedure You run the experiment with k increasing by powers of two And you end up with an error that scales like one over two to the n where two to the n is the largest k that you run And the one kind of trick that I haven't really discussed is how many times you need to repeat the experiment so that you Make sure that the true theta is in the correct region Because just because of probability probabilistic region reasons it could end up kind of in the wrong You could end up in the disallowed region So you need to make sure you take enough to not have that happen with very low probability Okay, and so if we look at the how efficient this procedure is one way to measure the efficiency of this procedure Is to think about the number of applications of the gate and the error That you in your final estimate so in this case we if you have the correct Kind of measurement schedule With c applications of the gate you can get error that's proportional to one over c and this is also known as heisenberg scaling So this is as efficient as you could possibly be We are using the gate as few times as possible to get as accurate an estimate of The rotation as possible, but we don't have it's very simple compared to lots of other situations where you talk about heisenberg scaling Uh Often when people talk about heisenberg scaling they'd have to talk about entanglement or adaptive measurements or Bayesian updates We don't use any of that. It's a deterministic very simple straightforward single qubit procedure Although it can be scaled up to multi qubits Okay, and it's also exceedingly robust I've talked about that delta error that bias is being caused by unknown spam error But if you noticed in this whole analysis, we never said oh this delta this error this bias is coming from spam It actually could have come from anything it could have come from some defacing noise It could have come from non markovian noise We we were totally agnostic as to where that bias came from We just said as long as there's as long as that bias is not like catastrophic We're okay, so it's robust to all sorts of uncertainties in the system But of course this is assuming that that bias does not become catastrophic And so what does it mean to be have a catastrophic bias? Basically the bias must be less than pi over four Which is actually quite large. That's a pretty huge bias and that's definitely reasonable for spam For some of those other bias sources of bias that I mentioned like Non markovian errors or defacing errors depolarizing errors those types of errors as you apply longer and longer sequences The bias tends to increase with the length of the sequence So in that case you would expect that if you have a very long sequence Things get so messed up that you're no longer Kind of in this nice regime the bias gets kind of overwhelms things in that case The the estimate that you get will be accurate up until that point and then it will just no longer be accurate So the the precision will be good until the delta error is kind of overwhelm you And as the as the delta gets larger and larger you need to take more and more samples to ensure that you kind of stay in the in the correct region okay, so But so I've talked a bit about the theory, but you know like I said, I really would These these procedures are only useful if they kind of are good enough that um in in practice in experiments and if they're kind of easy enough that Experimentalists want to use them and think that they're easy enough and better enough than whatever they're doing uh, so with sandia we took some experimental data of this procedure And what this is trying to show you is that we do see that heisenberg scaling so These lines are what we would expect Or the dotted lines are what we would expect from kind of heisenberg like scaling In our estimate where the error is decreasing as the number of operations increases Also, we compared to gate set tomography, which was the the sandia outsourced procedure Which I said was not very efficient And so this is showing that if you want to get the same accuracy from robust phase estimation the blue dots versus Gate set tomography the the green dots you can take many fewer samples So to get you know 10 to the third error in your estimate You can take you know orders of magnitude fewer samples using robust phase estimation than gate set tomography um, and I also say there are several labs that You know did started implementing this procedure not not because they were hoping to get like a publication out of it Just because they found that it was better than what they were doing and simple enough to implement So I think for me that was like the the real proof that this was A worthwhile procedure Let's see. How am I doing on time? Plenty of time. Okay, so there may be a couple things that I've kind of slipped under the rug that I will Mention Okay, so I said that you need to have like your state preparation and measurement Needs to be relatively close to the ideal Okay, so what is the ideal state preparation and measurement? If our gate is a rotation About the block sphere we can imagine the plane. That's kind of perpendicular to that axis of rotation And then we can imagine two States that are orthogonal and both lie in that axis. So we'll call one alpha and one beta And essentially the state preparation that you should ideally be shooting for Is to get close to that alpha in that beta So I've been saying that you just need to do one sequence of Uh, like basically one measurement for each k. It turns out you actually need to do two So that the idea is you do one sequence of a given length k where you prepare in the state alpha And one where you prepare in the state beta and again These don't have to be exact because we can tolerate errors in our state preparation and measurement But you just want to be as close as possible because the smaller your your adult the smaller the bias in your measurement Or the smaller the bias in your outcome the few measurements you have fewer measurements you have to take So you should prepare it in alpha and beta and then you want to measure in the alpha alpha perp basis And then what this says actually that's you to do is so I said you in all these experiments I said you could just learn theta plus delta it turns out actually what you learn is cosine Of k theta plus a bias and then the beta experiments allow you to learn sine Of k theta plus a bias, but with these two experiments You just these to allow you to learn k theta So it's very slightly more complicated than the very simple picture that I was painting but Now I've really told you almost everything the only thing I haven't told you is how many Times you need to repeat each of these measurements to be confident that you're getting an accurate picture And that is a formula that you can look up in the paper if you are interested So I won't go into that but hopefully at this point like this is everything I've told you the whole procedure I've told you how to analyze it so you could probably go home and code it up if you were interested or Start implementing it in your lab. I'd love to hear if you do Okay, uh, so there are lots of future directions that I'm hoping to pursue Um, so I'm currently working on how to expand this to multi cubic gates It seems so far to be very straightforward. Uh, but we're kind of working on some of the details of that um I think it could also be useful like this is a very targeted kind of Procedure and it could be useful for targeting non-coherent errors as well So it'd be great if no matter what type of error you're looking to characterize You could have a very targeted method to do that instead of having to do something like gate set tomography to learn about non-coherent errors and again this Kind of in line with that this procedure might also be able to be used to characterize things like spam errors or some of these other kind of peripheral errors that are affecting our rotation because once we know Kind of what's going on with our rotation. We might be able to back out. What was going wrong with our spam or what was going wrong with other parts of our system And that is everything I would love to take questions So thank you very much. Um questions. Yeah, I'm right here Okay, so you may have said this but maybe I missed it Um, but if the if there's some uncertainty in the rotation axis itself Um, is this does this end up being it seems like then you might be correcting uh for The wrong rotation. So if so if it's just a fixed rotation axis We can kind of actually push that into spam because it's almost like instead of aligning our alpha and beta in the correct plane We're doing it a little bit off But then the spam that doesn't add up over time. That's just a fixed bias So it's not that that type of error basically falls into spam error and can be accounted for with that It's not something that builds up over time. On the other hand if you have kind of a wobble So if it's not fixed, I mean that might contribute to then you wouldn't kind of at some point You wouldn't be at you wouldn't be able to get it super accurate I would think like you'd be able to get it accurate up to the wobble, but maybe not beyond that That makes sense Okay, further questions Yeah You're saying what where that I'm your your question was what are the barriers to going to multicubits? As far as we know, they don't really seem to be any we're just kind of more interested in what are the interesting What are what I'm more interested in this point are what are the knobs that people have for two cubic gates? And how can we directly target those knobs? So that that involves some amount of figuring out like well, what state do you want to prepare in? Which one of those knobs can be most easily target can we target all of them? Those are the more interesting questions. I think there there aren't really any barriers to almost immediately extending this Okay, so another another question at the back right Oh That is true, it was all true it is not a black box I take it back So this is the form of time dependence or nonmarked I mean I think the advantage of rpe is that it's so fast that you could run it multiple times and try to get a sense for the timescale on which Theta is shifting and then that might you could maybe interleave gst with this additional information and perhaps use that to update Your models as you're running a more complex system because as a more a more complex protocol That is so much more time-consuming because this can potentially This is basically as fast as you can hope to get you can at least try and get as much information about that time varying Nature directly, but if you were to if it's time varying on the scale of robust phase estimation, you're going to run into the same Issues that you have it's not immune to those issues Okay, another question right up Yeah, yeah, so that that's the thing that kind of kills us in the end because that those types of errors build up and build up and build up and cause larger and larger and larger biases in like basically larger and larger delta errors and eventually they they become so catastrophic that they cause us to kind of You know in our exclude we basically exclude where truth the truth data is in our kind of Continually having an excluding region. So yeah, there's kind of no way around that But at at the point that you're getting to such large Sequence lengths that things are catastrophic like at that point you're you're not going to be running You know a computation that is that long anyway. So I mean we can kind of You can get accuracy up to the level at which you would probably be interested in running a computation But that yeah, we don't really have a salute. That's a that's a problem Okay, there's a question right at the back. Yeah, no at the very back wall Yeah, that's a Well, so you can still learn about the phase but your accuracy will be you can only learn it to the accuracy of the other errors in the system Yeah, okay. Is there any other other questions? So good. Let's thank she'll be again


Ranger Bill, warrior of the woodland, struggling against extreme odds, traveling dangerous trails, fighting the many enemies of nature. This is the job of the guardian of the forest, Ranger Bill, pouring rain, freezing cold, blistering heat, snow, floods, bears, rattlesnakes, mountain lions. Yes, all this in exchange for the satisfaction and pride of a job well done. The weather is warm around knotty pine, unseasonably warm. In the southern part of the state, the snow is melted and the forests are dry, tinder dry. A weather change is coming across the south end of the state. A cold front is trying to push its way through. The warm front resists and the warm and cold air mix it up but good. A huge out-of-season thunderhead forms. The storm giant rises 30,000 feet into the air. Suddenly the monster lashes out at the dry forests with bolts of lightning. Savagely, rangers and their fire towers hold their breaths because they know what this savage attack of lightning could mean. The raging monster stops its fury for a minute, as if gathering all its strength for the final punch. Then the haymaker comes racing out of the sky, a blinding streak of fire. Rangers watch with eyes filled with apprehension. The smoke begins to rise skyward. The rangers jump to their instruments to make a fix and grab their phones. Hello, Kurt. That last one did it.   Kurt, there are three fires from what I can see here. One at f6, the second at h3, and the third at c15. That last ball really slapped at us hard. Hello, Kurt. I can count half a dozen fires now. Remember that 90-foot tree we used for landmark? Well, it's gone. Fire. Forest fire. Six separate blazes. Three more makes nine. Then one makes ten. Ten fires in a dry forest with a good wind fanning the fire like a bellows.  And for one of them it's almost the last one. Right now the fellows are gathered around the teletype machine at Ranger Headquarters in Naughty Pine. Oh, sonny. That theropole of lightning kicked up 10 fires. Those boys downstate are going to have their hands full, I'm afraid. Look here. Position of fire show 25 square miles covered. Well, it'll be 50 before they can do anything about it, Gray Wolf. I'll get it. Ranger Headquarters, Bill Jefferson speaking. Bill, this is Kurt Douglas. Oh, yes, Kurt. How are things down there? Pretty bad, huh? Yeah. We'll come down right away, Kurt. How much help do you need? We'll start loading the flat cars right away. Get going as soon as the train's loaded. All right, sounds good. All right, Joe. Pull your bulldozer up on that car and bring it forward so Matt can bring his behind you. Okay. Matt, you follow him up on the flat car. Okay. All right, David. Here's a message from Colonel Anders, Bill. Just came in over the teletype. I wonder what the old boy'll have to say. He wants you to take charge of fighting the fire. That's going to change then. What do you mean, Bill? You and I are to fly down. That means we'll have to get hold of Gray Wolf and Stumpy and put them in charge of the train. You fellas understand what you are to do now? Ah, we do. Me too, sonny. We'll have this here train flying down the track in no time at all. Good, Stumpy. Be sure you set up radio contact right away after you started. Henry'll keep you posted on developments. All right, let's go. Hey, Kurt. Gene, how long you been running? You better sit down and rest before you have a heart attack. Later. Later. Listen, people in Silver Springs and Claytown are trapped. They can't get out now. We can't get in. I just come from as close by as we could get. Are you sure about this, Gene? You think I'd run all this way if I wasn't? Well, no, I guess you wouldn't. What can we do? I can't send the men through a wall of fire. If only Bill and his men were here. You've got it. At least try to help those tap folks. There's women and children in there too. Huh, don't you think I know it? What would you suggest? Send the men through in asbestos suits. They'd never make it. An exploding or falling tree would get every one of them. If they did get in, how'd they get the people out? Yeah, how? All we can do is stand by and let them burn. I don't know, Gene. Right now I wish my name was Solomon. Look at the size of that fire, will ya? That's the biggest one we've ever fought, I'm afraid, pal. We fought some pretty tough ones, too. I'll see if you can contact Kurt on the radio. All right. Bill Jefferson calling Kurt Douglas. Bill calling Kurt. Come in, Kurt. Over. Bill, am I glad you're here. We're fighting a losing battle. Silver Springs and Claytown are cut off with no hope or rescue. My men are spread so thin along the line you can see through them. I need help. Proto. Over. Kurt, I'm going to fly over Silver Springs and Claytown and see what can be done to get those people out of there. I think we can land helicopters on the main street, take the folks out that way. Then I'm going to look over the rest of the fire and land about where you are now. Have a look at that clearing, will ya? Make sure there aren't any hidden logs. Over. We'll do. Thanks, Bill. You don't know how grateful I am that you came down here to take charge. I was almost at my wit's end. I'll be waiting over and out. Henry, call the helicopter base and tell them to stand by with every flying banana they've got. Check. Then we'll go over and have a look at Silver Springs and Claytown. Y'all speed we can get. Yep. You're talking machine setup? Yes, sir. Box.  Doctor, right away. Frisk in traction. We gotta get to the fire. And bananas can land on the main street, all right, Bill? Yeah, I'm sure they won't have any trouble, Henry. Well, look at those poor people waving at us. I'll call the copter base and tell them to take off. You got the bullhorn ready to announce that rescue is on the way. How long do you think it'll take the copters to get here? Oh, 20 minutes. Bill Jefferson calling copter base. Ranger Bill calling copter base.   Let me have your reply. Copter base calling, Bill. Copter base calling, Bill. The boys are lifting from the get to town in 20 minutes. Thanks for your help. Over and out. Attention, please. In 20 minutes, helicopters will land on your main street for rescue. Keep off the street where the copters are landing. There will be enough room for everybody. Gumps, Bill. He's got good news about the two towns. What sure he has, Gene? There's one ranger who knows his business. The copters are landing now and taking the boat shot. What a look from the air. Pretty bad, Kurt. Lightning really spliced fire all over. Henry, you use the plane radio and find out where Stumpery and Grey will fire with the train. All right. I'll be glad when reinforcements get here. I better get tired. I can understand, Gene. You got heavy equipment, too. You got the map? Yeah. Here it is. Take just a few minutes to draw the firefronts in. Then we can see just where we are. Now step inside, man. Close door, please. Hello, Henry. You try and get us long. Train have hotbox and we stop for hour to let axle cool. Train just start again now. Wow. That's tragic. We need your fellas back. About four hours, Henry. We've got a good idea of the size of the fire. It was bad, but not this bad. Yeah. How many men have you got fighting now, Kurt? Ninety-five. Not nearly enough. I should say not. Hey, Bill. Bill, I just talked with Stumpery and Grey Wolf. Well, soon they'll be here, Henry. Four hours. Four hours? What kind of train have they got? One of the cars threw a hotbox and they had to wait an hour to cool it.  That train's got a hundred and fifty men and heavy equipment that I could use right now. Can't use helicopters this time. That's right. But we're going to give it the old college try just the same. You got some ideas, Bill? Yeah. Now listen closely. This might work if the wind doesn't shift. Go ahead, Bill. Anything's better than standing around here with our hands in our pockets. Kurt, pull your men off the left flank and take them up this valley. Work your way up this ridge and cut a fire lane as you go. That'll hold the fire on the left flank. Right. Now, Gene, take your men and do the same thing on this ridge over here. I get your idea, Bill. We'll have the fire hemmed in on both flanks. That's the idea. Meanwhile, Henry and I will take the rest of the men, work our way around in front, and try to backfire. I'm not sure we can do it in this wind, but at least we'll have the fire hemmed in on both sides. Let's get a move on, Gene. Right. See you later, Bill. Okay, fellas. Hey, Bill, why the peculiar look on your face? Well, I didn't mention it, Henry, but I'm scared to death of a wind shift. This cold front moving in could do it and at the wrong time. You're thinking of a trap? Yeah. Kurt and his men would have a bad time of it if the wind shifted. What do we do? You stay with the plane. Keep the radio open. I'll take the pack radio. Okay. You think you can get the plane off that cow pasture? Bill, I'll try my best. Try my best to get there. What's the matter? What's happened, Henry? The wind shifted. What do we do about Kurt and his men? Should I take off? No. They haven't had time to get to the ridge. We've got to go after them. Oh, what do we do now, Bill? That wind changes driving the fire. Right towards the forest and not...  Pull the men back. They look exhausted. All right, boys. We're going to get out of here. Mike, fresh air. Nothing we can do now. I'll call Gene. This boy's into... They're wasting their time now. The fire is taking the left flank by storm. Get you all right. Henry, find out how the boys in the middle sector are doing. Bring them back with you before they drop dead. People sharp-firing the fire, Henry. Let's get back to the radio truck. Count noses. All your men here, Kurt? Yeah, except those in the middle sector. They'll come back with Henry. Beat some of the men. And how? Two men at fractured angles, six serious burns, 12 with minor burns. And the rest are exhausted and half-blind from the smoke, ashes, and the wind. Oh, it's a mess, all right. We're going to have a fighting chance the way the fire started. Ten of them at one crack. Yeah, I know. Hey, here comes Henry and the rest of the boys. And they got casualties, too. Henry's hitting this wind. I'm out of luck on his face. He's got bad news. Can he get any worse? Okay, let's have it, pal. Hey, Bill, the fire's jumped the river and it's cutting around the mountain up ahead. Great scot. Well, that's completely out of control. Looks that way. Not yet, men. We're going to stop it. Wow. I don't see how you could do it now, Bill. We're going to make our stand on top of that wooded mountain. We? How are we going to get up there to make the stand, Bill? Not your men, Kurt. The firejumpers are going to fight this battle. Sure do, Bill. We'll bring all the dynamite we can. That's fine, Thad. Get your firejumpers rolling over and out. All right, lads. Let's get to the planes. This is the third time they've circled. They usually jump on the second pass. Maybe something's wrong upstairs, Bill. Yeah, that's what I was thinking. We'll soon find out. Bill, Bill, we can't jump on that mountain top. The fire's completely surrounded it. That's right, Thad. That's at the foot of the mountain. You've got the whole top to land your men and gear on. That's right, Bill. The only hitch is that the fire's creeping like mad up the mountain from both sides. It's a death trap. Thad, what are you talking about? That's no death trap. Set your dynamite charges and blow the sides of the mountain down on the fire. That'll divide the fire and roll it back. Then we can put it out with the ground crews. You jumped into situations like this before? Not when we've been surrounded by fire, Bill. What's more, the men refuse to jump. They say it's sure death. It will be if you fellas don't stop arguing. Now get out of that plane and set up the explosives. That's an order. It won't budge. Any suggestions? Yes. Land your plane and the clearing next to us. I'll show those fellas how to jump into that fire and how to come out alive, too. I assure you should make the jump. Pretty dangerous. And you can't fight the fire alone. I don't intend to, pal.  Bill, we're all aware that you've saved the day many a time by quick thinking and close timing. But you're taking an awful chance this time. Kurt, it's natural for the men to refuse to take an uncalculated risk. I'll buy that. But since when have I ever ordered men into a death trap? When did I ever expand human lives like Cracker Jack? You're doing it now, boss. Well, so it's you, Ren. You're the one leading this mutiny, huh? Yeah, and one of it. The rest of these guys ain't got the nerve to stand up against you. But I ain't jumping into that death trap for nobody, not even you. Not even if I jump first, Ren? Yeah, you could jump 50 times and that wouldn't convince me. The idea is to come out alive. Granted. And how about the two big towns on the other side of the mountain? There are hundreds of people in there who haven't got a chance. If the fire gets past the mountain, it'll sweep right into those homes in half a day. The fire will spread a hundred miles wide. We couldn't possibly get all those citizens evacuated. Oh, Red. How about that? You've got to have a conscience. I got a conscience all right. And don't let me murder the men I've been working with for years. I think Red's right, Bill. It's too risky. There. I've got something to chip in here. What's the matter with you guys? Bill's only trying to do the job he's promised to do. Remember the oath you fellas took when you came into the ranger service? We never promised to sacrifice our lives to be willfully murdered, Red. You'd better read the oath over again. Our job is to protect human lives and private and public property, even if it does cost us our lives. I challenge any man here to name the time I ever led or ordered him into a death trap, knowing that it was such when we went in. While you fellas stand here blocking, hundreds of trees are burning that could be saved. The fire's getting wilder and more uncontrolled every minute we waste here. Thad, what do you say?  Don't listen to him, fellas. The bosses are all scheming up against us.  Red Smith, you get into that plane with the rest of the fire jumpers or face immediate dismissal from the ranger service. Why, I could have your badge right now for the slanderous remarks you made. Now, either you're a man and willing to live up to your oath or you're not a man. And if you're not a man, the ranger service has no further need of your services. I'll get this trade, Red Smith, and get it real straight. I order you and the rest of the fire jumpers onto that mountaintop. You will follow me out of the plane. And if you don't want to take my orders, then say so and get out right now. You're the boss. I'll jump. Thad, there's no time to waste. We'll jump on the first pass over the mountain. We've already lost precious time. We can't do the job the way I wanted to. We'll plant the dynamite right in the shot-proof boxes. Be sure the lids are torn off. Then we'll head for a cave about a thousand yards up the mountain. I know right where it is. Okay, Bill, I understand. Stand by! Let's go! Down into that furnace. I sure hope Bill isn't making a mistake. If Red hadn't taken up so much time, the fellas would have a better chance. Come in an hour and we'll know what happened. I guess everybody has to make a mistake once in a while. Only this one may cost Bill his life and those under him. Ah, I agree. Nobody lives long on that mountaintop. All the crates buried, Thad? Yeah, the tops are torn open too. Now let's run for the cave. A thousand yards straight ahead. I'll bring up the rear to be sure all the men get there. Okay, Bill. On the double! Come on! Step on it, Ben! This thing's gonna crowd in ten minutes! We got them all, Thad? Thirty of them, Bill. We'll each keep watch over half. Okay. Make them lie down on the floor of the cave. Won't be long now, Thad. They're gonna die either. Let us, boss! Unite! Foul!  The first man that tried to get the bullet through his leg. I thought you were an oversight, Ben. Not anymore, I'm not. We're in this together and we're gonna keep in it for good. Thanks, Red. And don't worry. We're all coming out together too. We're gonna pass out. I think... I think you made a mistake. Boss, right or wrong, I followed orders. I kept my oath. Hang on a bit longer, Ben. The dynamite's going off in a second. Any second now. Ben, outside! Where they can breathe, flesh out again, more smooth. And the whole story out. What? You fellas are heroes. Hey, you gave the papers that story. We were just doing our job. They've got no right to put something out. I know, Bill. Yep, I gave them the story. But why, man? All for the simple reason that anybody who can figure as close as you did, get the job done and come out alive. Well, he deserves some credit. That's all I gotta say. We'll see you next week for more adventure with...  This is Ranger Bill back again for just a third of a minute with an extra word of thanks to you for joining us today. Hope you'll team up with the Rangers every week at this time. When your local station gives us this chance to get together. See you then.


Hey Psych2Goers, welcome back to another video. Are you subscribed to Psych2Go? According to statistics, only a small percentage of you who watch our videos are actually subscribed. If you enjoy our content and would like to support us, do consider subscribing. This helps YouTube's algorithm in promoting more of our mental health content. Thanks for being here. How are you doing? Like, how are you really doing? In these trying times, everyone is struggling with something behind the scenes. Whether it be mental health difficulties, financial problems, relationships struggles, or school issues, life can feel so difficult sometimes. In perspective, life is really short, considering we spend about 26 years of our entire life sleeping. So how do we make the most of life knowing the uncertainties? You have to ask yourself, what does it mean to live a full life? And how can I achieve this? Here are eight habits that can help you live your best life. Number one, take care of all aspects of your health.  While maintaining all aspects of your health may seem tedious, in the long run, you'll be happier and healthier. Put in a little time and effort every day to take a walk, eat some fruits and vegetables, or take some self-care time to help prevent dealing with health problems later on in life. After all, prevention is much cheaper, less stressful, and overall healthier than trying to treat any symptoms. Knowing this, try to get into the habit of treating yourself with the same love and care you treat those you love with. Number two, self-reflect. Have you tried journaling before? If so, how was it, and did you enjoy it? Many people don't like to journal because it seems too time consuming, or they feel pressured to have the prettiest, most expensive supplies. However, what's really important is taking the time for self-reflection, whether it be by jotting down your thoughts on a scrap of paper or recording a voice memo. Taking even five minutes a day for self-reflection can help you immensely. It allows you to figure out your values, what you truly like and dislike, and learn from past experiences. So try to figure out what reflecting methods work best for you, and be authentic about it. Number three, maintain social connections. Do you make it a habit to prioritize social connections? While it's hard during a pandemic, it's more important than ever. Everyone needs a support system, no matter how independent or introverted they may be. Try to make it a habit to maintain social connections with friends and family, even if it's simply a quick conversation once every few weeks. It'll help you lead a balanced, well-rounded life. After all, your ups and downs are meant to be shared with people who love and care about you. Number four, focus. Have you ever tried to multitask? While it's tempting to do so, according to a study by Stanford University, multitasking is one of the biggest myths out there. In reality, your brain cannot properly do two things at once. Instead, it switches between them rapidly, giving the illusion of multitasking. You'll end up taking the same amount of time or longer to do the tasks with a significant decrease in quality. This means you should try to get in the habit of focusing on one thing at a time. If you're doing work, shut off the television. You'll likely end up doing higher quality work faster. Once the work is done, you can fully enjoy your show afterward. Number five, live in the moment. When something exciting happens is your first instinct to take your phone out and snap a picture. Many people claim they do this so they can look back on and remember fond memories. However, which is really going to bring you more enjoyment? A photo or fully experiencing moments with your friends and family? In the end, your thoughts and emotions are likely going to give you more enjoyment and fulfillment than trying to take a photo for social media. With this in mind, try to put your phone away and truly enjoy the people and experiences you get to be a part of. Number six, manage your inner critic.  You're going to fail or you're not attractive enough? There is a lot of pressure to be flawless because we see perfection from social media around us everywhere. This can lead to low self-esteem and a constant feeling of not being enough. While it can be hard to fix the root cause of low self-esteem, you should try to recognize when you're being too hard on yourself. If you can get into the preemptive habit of realizing when your inner critic is getting the best of you, you can break the thought pattern. Try to remember that no one is perfect, and that's what makes people so uniquely beautiful. Number seven, complain less.  At the end of it, did you let it all out and have an hour long rant session with a friend or family member? Complaining can be stress relieving, but if it gets out of hand, it can end up doing more harm than good. For example, by complaining about something you can't change, you're giving it more power to ruin your day. Also, you're more likely to be resentful and hold grudges against people you may not even see again. This extra burden can weigh you down without you even realizing it. Instead, try to let go of things you cannot change, especially past experiences you didn't learn anything from. Remember that at the end of the day, complaining too much doesn't make you happier, so why waste time on it? And number eight, don't be afraid to take action. What's something that you've always wanted to do? Many people are afraid to try new things, whether it be fear of failure, thinking it's already too late or not being able to find the time. However, there really is no better time to take action than the present. You can't assume you won't be good at something unless you try, and even if you aren't the best, the most important thing is to have fun and enjoy yourself. It's never too late to try something new, so try to make time to do something you've always wanted to do. Do you think you'll try to implement some of these habits? Even though we can't fully control what happens to us, we can at least have positive growth mindsets. If you try your best to maintain healthy habits, chances are you'll end up living the best life you can. And in the end, that's all we can do, so you don't have to worry about being perfect or trying to control everything. Doing your best is enough, and you are enough. Do you think these habits will help you in life? If so, how and which ones? Feel free to comment down below with your suggestions, experiences, or feedback. If you enjoyed this video, feel free to share it with friends that might find insight in this video as well. Make sure to subscribe to Psych2Go and hit the notification bell for more content. All the references used are added in the description box below. Thanks for watching, and we'll see you next time.


In order to use Solver, it must be enabled in your instance of Excel. You can check to see by going up to the data tab, the data ribbon, and looking over in the analysis section on the right to see if Solver shows up. It doesn't here, so let's add it. We go back to File, go down to Options, we go to Add-ins, down at the bottom, make sure you've got Manage, Excel, Add-In selected, and click Go. And then you get this dialog of the add-ins that are available. Solver is here, but it's not activated, so I'm going to click to add the check mark and click OK. Now if I go to Data, and look in my analysis section, there's Solver ready to go to work.


Oh, really? When you were lying, because you don't feel it. No, I didn't see it in the car. I'm done with this conversation. I'm not even coming in this house. Wait. I have a kiss. I have a kiss. Charge? Today, we're going traveling a little bit. Carolyn Von Petzalta's coming over. She wanted me to show her where I buy this one bird food that I buy. So I thought I would take her down there today. And perfect timing. I knew she would be here soon, because she gave me her co-ordinate. There you are. I think she always brings something. Even the first day I met her and we went to look for Picasso, she was like, I made you a sandwich. I have fruit for us. She's in baby formula for the bird. She's like literally the sweetest. I don't know if you guys know this. She has her own vegetable garden. You guys know that I order an organic gluten-free delivery service. It's vegan and all that. So my birds share that with me a lot. It's very important to feed your bird the right vegetables and fruits. More vegetables than fruits. Probably about 90% vegetables, 10% fruits, maybe 80, 20, you know, cause of the sugars. Carolyn does that. I do that. However, today we are going to buy a seed mix that Carolyn sought at my house. It took me a very long time to find this seed mix. I like it because the guy in the bird store literally eats it himself. Wow. It's got lots of different things for the birds. But we want you guys to remember, more importantly, to feed your birds real food. But I always have different pellets and different seeds for my birds available because there is nutritional value to some seeds where they do need oils. And in the wild, the smaller birds thrive on seeds. And why I like my birds to eat certain nuts like almonds and walnuts and basil nuts is cause it's great foraging. They spend time taking it apart. So that's what we're gonna go do after that long lecture. Feed your birds real food. Right. Okay, so do we take the cookies with us? I have not been outside today as usual, so I'm cold because I hate air conditioning. Are you driving? Am I driving? What's happening? Well, I'm always driving. I'm gonna be in your car this time. Oh! I was driving so I'm driving. I was like, okay, dang. I wanna be the girl. Okay, today I'm gonna be the guy. Just kidding. Girls drive too. Yeah! Okay, yeah. Are this useful? A good carry heels. I have that too. Seafelt's first. If I had to get out of the valley, I'd panic. Old and only has like, not even 50,000 miles cause it just goes up and down the street. Okay, this is with my vlogging cause I've never come in here and vlog. Are you gonna kick us out? I don't think they'll kick us out. Should we act normal? Like quite. Maybe go in first and not bust out camp. I also need a big cage. Okay, let me show you the food. Here it is. Okay, or just film stuff and then I'll show you the food. Hi! Yeah, I'm showing her. Oh, look how cute you are. Yeah, definitely. Oh my God, look at the cute. Look at the minibus. Look at you, do you want to talk to me? You need a big cage, right? Carolyn's looking for a huge cage cause she just got. You can't say it. It's a surprise. Okay, it's a surprise. You have to edit that. I have to edit this out. Carolyn ordered a very special bird and I can't tell you what it is cause it's a surprise. But let's just say, let's just say she got an ostrich. See, I'm tempted to put that in the car. Gorge bought all this stuff to build him one, but the problem is relying on him to have the time to build it. You know what I mean? And the time takes so much. Buying these for Vinny. What? It's that, right? I mean, I wouldn't be giving them this. Everything peanuts and popcorn and all sorts of stuff. I love buying these little toys. I love it. Oh my God, Jersey loved one of these. I'm going to get her these. Every time I come here, I buy these plastic vaults and she loves them. I'm going to get every bird a ball today. We'll get a pink ball for Jersey.  Let's get one for Angel. Let's get all the colors. Green ball, blue ball. I hope Picasso would have loved this. Oh, a yellow sucker ball. I got to get something bigger for Rocky. I'll put them up here.  Jersey's obsessed with the shoes. Oh, look at the nuts and bolts buying. I'm a sucker for buying all these toys. Okay, so even my birds can't have crocs, sorry. Jersey. Jersey. Cause you can really like do some forging stuff and hide some stuff in here, which is always really good. Pest is open on both sides. That's kind of cool. Yay, for the birdies. Oh, some leather. Yeah, some leather. Yeah, but it's so slow. They don't even play anymore with the toys I make them. Really, they just chew leather? I don't want to chew their toys.  Oh my God. Look at how cute you are. Oh my God, I can't. I just want to squeeze his head and love him. Jersey's really going to like this. You're out. That's the cutest thing I've ever seen. A little jealous now, your friend says, I want, you're getting a lot of love. You must get so much love. I'm gonna do, huh, this is a nice bird. Look at you stalking all the parrots. No. He's a major midget. No, he's a major midget. Mitchell. This is, Vinny is a role dresser. Major midget, I can't. I'm telling you. Oh my God. Oh my God, you said something so funny in your last video that I was watching today. You said he's establishing dominions. It was so funny with Rocky and Hope. I was dying. Establishing dominions. Oh my God. Okay, so this is the bird food. Now it's a real specific one. So look at the difference between these ingredients. This is gonna be upside down, guys, sorry. You see it's only those ingredients. That's it. So what it is, is what it is, as opposed to just so much stuff. That's a lot of stuff. Yeah, like I don't know what this stuff is. So this exact mix, the Royal Hook Bill Cuisine, is what I like. And it's good because we have large and a little bit smaller birds. I think he makes smaller bags of it. So what I'm feeding them is this. I buy them always in 10 pounds and I just, like they just get pellets. Wait, if they're all on pellets, why do you want to move over to seeds? Well, because you say so it's the best. No, it's the best bird mix out of seeds. Oh, they just eat pellets. No, then I would keep them on pellets, honestly. I always give my birds a mix. So look at all these ingredients. I know. They just change it. There's like alpha-alpha now in there. It used to be no alpha-alpha. It just is alpha-alpha. Well, I would say if your birds are on like a good mix of pellets, then you should keep them on pellets. Like, Lou always taught me that you want to always have some seed mix for them to get essential oils, but sometimes birds will make bad decisions. Whereas when they have pellets, everything stays eaten nutritionally. And that's why when they do testing results, they come back, oh, all their levels are even because everything the bird eats isn't the same. So you think I should just cook these pellets? I would. I keep them fresh food though. Well, that's the most important thing. Put them for dinner. They get sweet potatoes and... I think that's the most important thing. But I'm not gonna just keep them on pellets. I would. Keep them on pellets. Oh, I should get... I love them. Vinny loves this. I need to get them. I'll get one for Vinny. Vinny's gonna be all over this thing. Look at this guy coming out. Abby! You're so special. How old is Abby? She's so beautiful. Guys, I have to make a decision. So here's the thing. Is this where you're living with a guy gets really difficult? So I need to get a new stand for Rocky because he ate his. And there's kind of a perfect one here for him to watch TV. But George has bought stuff to make him a new stand. So me bringing this home would essentially be offensive. However, you know how guys don't get around to doing things when they say they do? And like, I'm not knocking all you guys, I'm just saying, for women and relationships. I can't take anymore of not having Rocky have a perfect stand. And also, the wood that we've replaced it with, he just chews up so it gets all over the floor. So like, I just don't have that kind of patience. So what would you do? I could buy this thing literally and put it in my new goober. That's the good thing about mini goobers that are convertible. They fit everything. So like, Carolyn and I would be driving home with this thing that Rocky would love it. If I bring this home, George is not gonna be happy. I don't know what to do. And he still doesn't have the pieces for the bottom. Carolyn, where are you? I would be there too, loving on the bird. That's no problem, that's no problem. Cause you don't have a pocket too. It's for me, something new that they have to handle. So I tricked them into the good head scratch and didn't get in here. And didn't get to be kissy on the head. So what are sniffers doing now? I do. Oh, I gotta tell you the airport story. I told them on my channel once, but like we're traveling with our African gray, but before we were like kissing Jersey and we had George had white powder on his nose and or someone had white powder. And it just, it just looked all sorts of suspicious. And then my bird was beeping when we went through security because he heard the beep of the conveyor belt. Looked like I had a box of something beeping. It was insane. What's your dilemma? My dilemma is I would love to get that scan, but George bought all the stuff to make one out of kind of like a pipe. So like if I bring that home, I'm basically like offending him. But, but Rocky's chewing his thing so bad like that. It's making a mess. He has nothing to stand on so well. So like, should I just take care of things myself?  You have to stretch your back. Look, I straight up want to put that in the mini Cooper right now and drive home with it. By the way, in your video, George is like saying that Rocky's half scarlet, some half scarlet. No, half green wing and half scarlet. No, but he's half green wing, half blue and gold. That's what he said. I think he said scarlet. Your bird is half scarlet and half blue and gold. Because that's a Catalina. Yeah. Carolina wants to pull it out. Mentally, I kind of was like, if I find something, I should just get it. And I keep regretting not getting it. Not that thing specifically, but just something. Okay. It will. What? It will? Yeah. With the roof down. And you holding the side. $200, this is like cheaper. Okay, well. Will he build something like this? No, he was literally gonna build something out of like, I don't know, like pipe so that like Rocky Cook can't destroy it. But George has no time to build this. Something like this will take a whole day. Yeah. So this is my advice. This is a really good deal, like $200 because it's like 450, make a picture of it and say, tell George, George, look, this is $200. It went down from 450 to 200. We're off to need something right now. So either you build it for us or I'm gonna go buy one. What should the deadline be for him to build it? One week. One week? One week. Okay. Because you were waiting already for how long? A long time. A long time? Well, since he bought the stuff a week. He bought the stuff a week ago, but since like he thought he was gonna do it like months and months. But he already did the action and he bought already the stuff. So everything's really there. Different time? Not everything. There's no base even. We need to go to home, they won't get the base. Yeah. Okay, give them a week. Otherwise, Marlene's gonna buy this, which is a good deal. Okay. No, no, no, no. Okay. That's what I'll do. Are you trying to get a kite? What? No, I'm not getting a kite. Kites are crazy. Yeah. That's what Apple says. No, they are crazy. I have someone who wants one. You can create forging, but like putting things in there for them to go out. I feel like Jersey would love this. This is making me hungry and making me want to watch the movie. Like I love the AMC because it has the best pop. No, I do make my own toys. I did a whole video on it, but I just sometimes just like to pick it up and do like, I have a present for you. They love presents. They do. Wow, what a gift. This is like great. They love to get in there and shred and storage. You think I should get one? Yeah. Okay. So yeah, I think you should get one, but then I got to make sure like I come home with something for all of them. There's this toy I buy Jersey here every time. She loves it. All the birds love it. Beads with a chain. That's what my birds love. These little toys. They fight over this. Picasso would have fought with Jersey over this. Since we didn't get the food, this turned out to be a shopping video. Okay. So Jersey loves the beads and bells. Beauty, beauty, beauty, beauty, beauty. Beauty, probably he likes wood more. Cody might like a beaded toy. And then Leo hasn't expressed much interesting toys. Well, maybe he was like a baby toy. Jersey's gonna want all of these. What happened to all of these that I got the birds? I love these things. Oh, I got my birds one of these ones. No, they, well yeah, but they pulled out all these. Maybe I'll get a big one too. I love playing with balls. With them. I'm gonna get that one for Rocky because I need to get him something. Oh my God, Cody loves past the buyers. Oh my God, I kind of want that. I'm in a buying move. Give me a pink chain. Jersey will like a pink chain. I can't even carry all this stuff and my vlogging. I think it's gonna break. Yeah, that's the fun of it. They break them. If you want toys that last, you have to get stainless steel. I just want to let you know you're incredibly handsome.  That's always the most fun thing to know. You put some of your stuff on that side and some of your stuff on that side. Very useful. Let's just get it. Okay, we're freaking him out. I like to clear out the whole store when I come. At this point, I don't even know what I got. They know when they're getting presents, they like it and they cry over it. I love buying stuff for Jersey so much. Yeah, Jersey is so grateful. She's the sweetest. I love Jersey. She's the sweetest. You just want to cuddle her. She's like... What's your name, Natalie? My name's Jared. Jared. Nice to meet you. You're officially on YouTube. Radical. You're going in stew? Yeah. And this wonderful liquid? No, I didn't put that in. Did you put that in? No. I used it like religiously. You mean you clean everything with this? Yeah, absolutely. Not just... He's saying he cleans everything with this. I do. I've got three of my floors. Maybe I should get this. Okay, give me that. I do a step before I like it. What is your 10-minute, 113-minute event if you're doing cashier stuff? So, she's a firecracker. What did you spend? 25.  Good stuff, that's what... I like to empty out the store. Lots of... Oh, there you go. I hope you guys enjoyed us shopping in this amazing store. We love you so, so much. Don't forget to subscribe to Carolyn's channel. And if you're here, you've got to subscribe to mine. Throw us both a like. And of course, go watch her version of this video because it may be different. It is. You never know. Or we might just be having the same conversation. Or maybe not. I love you guys so much. Bye! Let's go back in to your mini Cooper room. No! Don't worry, we only went to the bird store. Okay, what do you guys got? I'm sure. So, we... she got a new rocky... Why'd you get a... No, you didn't. You're lying. Why? No, it's in the mini Cooper. Yeah, but why would you get a Mazenator? Because you never built any for a rocky. And she says you have all the material. And it was on sale. It was $450. And it went down $199. And you're messing with your stuff. Go up and watch the mini Cooper. You need your help to carry it out. She's pushing, right? You didn't buy anything, right? Huh? You didn't buy anything. Why? Why would you buy it? Because he needs it. She needs it. He needs it. She told me you never got to build it. I did build it. For like three months. You did? For like a year. I just did it today. You did not. Yes, I did. It's right there in the garage. I did it. Let's stop. No worries. Let's go look. No way. She didn't know. This is it though. That's it. You stand on this. You don't need to stand. You're lying to me, right? I can tell on your face that you're lying.  Oh, really? When you're lying because you're not good. Go out and see it in the car. You're bullshitting me. It's hers. She bought it for her. I make my own Manzanita stand. It's on my website. So you made her buy one? You can actually make one. She didn't want to buy one. You spent $300? She spent more. Plus the toys. $100. What did she spend right now? How did she spend? She doesn't have any money. Why don't you freeze my merch? See you, please? It's a little dusty. It's a little dusty. Okay, you guys, I'm done with this conversation. It's really nice. So, whether you're going to make the base or not, finish it. Base. Bolly. This is our base now. That's going to be the base. I was going to use one of these guys. It might work though. I mean, that's it. It's not just like fit. And it has legs. This is not bad. It's not bad. I like your engineering. I got an engineering mic. I'm exactly like your dad. This is moving, dolly. Oh, it is, whatever. It is. But it's got the meals that I would use. Where did you get that? It's Uber's dolly, is that? It used to be Edwards. It's so tiny and large. And then dolly? No, but I'm going to get one from Home Depot. That's what I was going to get. They have that here? Huh? They have that 30 bucks. Yeah. Oh, really? You're going to Home Depot, huh? Yeah, I go all the time.  It's like a man's store. OK, so basically we're good. We don't need to get anything. So go return that. You have to return it tomorrow. I'm not going to help you with that because I'm impressed with you now.  I don't want to. Actually, it's not going to come into this house. Wait, I've got to tell you. It's not coming into this house. Why? Actually, I've got to tell you something. I straight up wanted to buy it and I put it on the camera and I said I've got to buy this in Gorge with promising stuff and like it's not made and it's hard for me and it's hard for Rocky. And I go, so what should I do? I put the camera on her and she goes, you need to trust your man. What you can do is give him a week to build it. I'm like, what? Thank you. What? I said that. I said, you're in a relationship. You need to trust your guy. And she goes, how about this? You give him one week. OK, so we're good. You're good. I talk her out of it. She did. I was like, we can get into the mini-con for her and I'm down. I'm like, it will. That one in the mini-cooper.