WEBVTT

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Logitech brought us here to Switzerland to check out the G900 Chaos Spectrum. An

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interesting looking mouse, but with some really bold claims, especially when

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comparing it to a wired mouse, which traditionally would have been a lot

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better in like almost every possible metric. They claim, however, that it has

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now reversed. They're claiming that the G900 is better than a wired mouse. Let's

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do some science and figure it out.

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So, we're starting off in the RF Labs. This is probably one of the most important things about this mouse is its

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wireless performance. That's what they've been trumping really, really hard this whole time. So, we need to

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benchmark it. We're going to test it with huge amounts of interference,

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without interference, all this different kind of stuff, and see how it compares

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to other mice. We're going to do that by coming inside of an anooic chamber, but

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this time it's not an anooic chamber in terms of sound. It's an anooic chamber

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in terms of signals. So RF, Wi-Fi, Bluetooth, all that kind of stuff isn't

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going to be able to leave the room once the door is closed and isn't going to be

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able to come on into the inside. But to

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cause that interference, we have this antenna right here, which is going to be

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shooting out massive amounts of amplified RF, Wi-Fi, and Bluetooth

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signals. What they did was they went to a LAN of about 300 people, measured the

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signal noise, and then amplified that by a little bit more to make a crazy worst

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case scenario. Over on the other side of the room, there's all this foam kind of

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stuff everywhere. That's so that signals aren't bouncing around throughout the

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room, and you just get a solid trajectory, so it's better and more

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consistent for measurement. Here we have the mouse rig. So, this is a jogger that

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keeps a pad moving under the mouse so that the uh actual sensor is constantly

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firing and sending information, which is important because you need the mouse to be actually working. And then the mouse

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is held in place above that. Across the

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room a little bit right here is the receiver. So, this guy is actually

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talking to the mouse. That wire goes through a tube to the outside and then

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we're measuring actually the tracking of the mouse out there where the actual

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interesting stuff is. So, let's check that out. So, as you can see back here

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on the spectrum analyzer, they have a crazy amount of noise being fired in

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that room right now. But over here, you

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can see a tracking tester where it's just tracing the cursor movement of the

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mouse as that jogger is going around. And it is in a very I'm going to reset

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this. You can see it drawing. It isn't a very consistent kind of pattern, which

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is good. There's going to be some drift from the sensor, but that's actually fine. All sensors have some amount of

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drift. Um, but the good thing about it is that it's consistent. It's not going

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all over the place. And if you're not making robotic exact circular movements,

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it's going to be extremely predictable where everything's going to be anyway. So, this is a good sign. And this is for

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the G900. So, now we're testing the Razer Mamba. Exact same scenario. This

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time we're going to try it with the signal noise on and with the signal

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noise off so you can see what it is in a more perfect scenario. The Mamba is

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currently set up and good to go. Powered on. Jogger is running. Antenna is over

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here. Let's go check the results. All right, so the Mamba 2015 is hooked up

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inside. That's what's running right now on the tracking tester. As you can see

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on the spectrum analyzer in the back, there's nothing really going on. That's

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because we have the antenna off. So, what I'm going to do is come back here,

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crank the antenna on. So, I'm going to turn this dial a little bit there.

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That's all good to go. The spectrum is now crazy. You'll see it actually moves

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where it's where it's kind of firing huge amounts of spectrum. So, it's not

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going to be a consistent problem. You can already see on here. I'm going to

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reset it so that we have some more room to actually see it get messed up. But,

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it's jumped all over the place. These lines that you see is where it stopped

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tracking completely for a second and then engaged back in somewhere else. You

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can see that instead of just simple sensor drift, it's actually jumping all

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over the place. I'm going to reset it here. It's going okay at the start, but

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then you see one big jump there. I'll wait for it to do a few more.

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There's one jump right there. So, there's going to be bad spots. Sometimes

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it'll be okay because maybe it's away from where the antenna is firing huge

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amounts of information. But then other times, as you saw before, it might

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actually start jumping all over the place because it's kind of getting overpowered, which is not very good. So,

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there's a line there. There's another line there. It's getting a little bit worse now. Yeah. So, that's the Mamba

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2015. Let's move on. All right. Next up on the chopping block is the Oraoros. A

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little bit of an older mouse. It's currently running on the jogger. Its

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sensor is currently over here. We're good to go. One other little bit of

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information that I want to give you guys is this is the antenna that's receiving

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the signal. So when we show you guys the spectrum analyzer, this is the thing

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that's outputting that information just in case you're interested. So next up,

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Razer Orbus. That's on the inside right now. You see it going with nothing

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really happening on the spectrum analyzer. Seems fine. A little bit of

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sensor drift, which is completely normal. Now let's hurt it a little bit.

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So going to turn things up.

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There we go. Spectrum analyzer is going like crazy. Stuff sweeping across like

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we saw before. Moving back. Now that

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happy little bit of sensor drift is no longer really very happy. As you can

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see, there's already two major jumps and it's completely changed direction. Three

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major jumps now. Yeah. So, not the clean nice patterned

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thing that we saw with the G900. It's a little bit more of a mess. Now looking

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back, there's 1 2 3 4 5 six major jumps,

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I think. And instead of just drifting nicely upwards like it was before,

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you're going up and then cranking way over to the right. And it's probably

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going to screw up again later on. Not the end of the world, but not perfect.

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Last, but potentially not least, is the Sensei. So, we have the Sensei rigged up

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on the jogger, and we have its receiver on the other side. Something to notice

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about the configuration of things as well. The receivers are always placed in

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line with the very front of the mouse. And the way that the jogger works,

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there's little arms going all the way around so that it can hold it in place

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perfectly despite the movement of the actual jogger. And it doesn't have to

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press any buttons. So, it's not pressing left or right buttons. It's not pressing the back button. So, it's not doing any

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of that kind of stuff. And it's holding it in place, which is pretty cool. So,

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the Sensei isn't doing so great. You can

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see on the spectrum analyzer there's nothing really going on. We basically

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have it off. Um, and that's not just

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simple normal nice unified sensor drift.

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That's quite messy. Let's start over again somewhere clean. Give it a nice

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clean slate and then hit it with the antenna as hard as we can go

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just to see what happen. Wow. Okay. So, this one

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that is just that is horrible. So, one of the interesting things that this one

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does that none of the other ones actually had a problem with is you can

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see the lines get kind of squiggly and they start doing weird spirals and

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actually making things that aren't at all the shape of what it's doing, which

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is a huge unusable problem. Again,

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something to remember, this is an insane worst case scenario. It's beyond like a

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normal kind of worst case scenario because they went from a like 300 person

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computer LAN, which is an insane scenario for any wireless device, then

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made it a little bit harder. But this thing is completely failing. The other

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ones were failing pretty hard, and the G900 had zero issues whatsoever. So, I

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think that's pretty cool. So, to create the device, the G900 that beats all of

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the other devices in this crazy worst case scenario test, it takes a lot of

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things. skills, science, testing, all that kind of stuff. It's not just buy

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the better thing, put the better thing in, and then you have a better object.

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It's not that simple. So, what they do is they use simulators in order to test

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what the actual end result is going to be. That's not always perfect, and just

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putting something in there and running a simulator won't magically solve all of your problems. That's where the skill

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component comes in. They're able to get their RF simulator results to be

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extremely similar to their actual measurement through skill. That's

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extremely important because it helps with your iteration process. That way,

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you don't have to build a new full device every single time you want to

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test it, which is going to help a lot because they have to release a product

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sometime. Then they also have to pay attention to where different components

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within the mouse go, like the battery. battery is a huge deal. With some older

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mice that even Logitech had, the positioning of the battery could cause

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weak spots in your signal as it went around. But the sizing and the

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positioning of this battery is a little bit better. They they have it on a different Z-axis within the mouse so

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that the emitter should be able to have a strong signal going all the way

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around. Super cool. Next up, we've got the sensor lab. So, what we're going to

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be doing here is testing motion latency. So, how long it takes for you a movement

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of the mouse to actually go to the computer. We're not worried about the less rest of the latency in the system.

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This is just what Logitech would have control over. So, we're going to do that

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by coming in here and using this turntable. The service on here is just

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like a Steel Series QCK type surface. So, probably something that's pretty

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common in someone's home. We're going to start with the Logitech G900, which is

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already on here. It's not torqued down. It's not too light. It's just kind of

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exactly how much someone would be pushing down on the surface cuz you

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don't want to grind against the mouse pad. You don't want to do anything like that. That would mess up with the

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results. Next up, we'll have a Razer Chroma, which is actually a wired mouse.

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So, we'll compare it against that. And then we have a Mamba 2015, which is

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another competitor wireless mouse. There's a little bit of plus minus here.

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that it could be plus 0 to 1 millisecond

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or anywhere in between due to polling rate. But spoiler alert, it's going to

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win by more than that. So, it doesn't really matter. Another thing I forgot to

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mention is that the mouse is placed very specifically on the turntable mouse pad.

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It's placed at a 45° angle so that X and Y axis are contributing the exact same

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amount. They have to be very precise about these things cuz extra variables

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like that could screw with something in a way that would mess up your results.

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So they have the right amount of tension down, they have the right angle, and

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they have a huge amount of samples, all of which are good. All right. So we're

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going to run our first test here. You can go right now. And what you'll see on

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the screen in a moment is it's going to accumulate data over time. So what's

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actually going to be displayed graphically is rounded a little bit just

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more for presentation so that you can kind of see whereabout things are. But

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below that is more of the hardcore math. No rounding and you can see the mean.

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So, we have to wait a little bit for it to gather some data and then we'll give

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you a more accurate mean. So, after taking 33 samples of movement, the mean

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latency was 4.79

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milliseconds. So, that might not sound impressive yet, but just wait till we

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try the other mice. So, we're about to run test two. This is against the Razer

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Chroma, which is actually a wired mouse. You can see here in the device info, it

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is in fact the Razer Chroma. We're going to be comparing it against our previous

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file, which was running the G900. So, we're going to have blue data showing up

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on the chart. That's for the previous mouse. And the green data you, as you

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can see in here, color green, will be actually for the Chroma. So, let's run

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the test. So, we have our first result, the G900 versus the Razer Chroma. As you

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can see here, the green is much higher than the blue, which means that the

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green lost. This is motion latency. So, you want a low number. As you can see,

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the median for the G900 was 4.8, as we

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already discussed. The blue is the same numbers that we had running on our

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previous test, but the mean for the chroma is about 6.88,

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which is 2 milliseconds more, which is a lot because you have to pay attention to

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each segment of your latency throughout the entire entire uh equation. So, your

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graphics card, your monitor, your mouse, all that kind of stuff. And reducing

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each one by relatively small amounts is

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a huge deal. So, you can get the total number lower. So having Logitech's

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number of the input from their mouse due to motion lower is good. And that means

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that it's lower than a wired mouse, which is pretty damn impressive. Another

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kind of cool thing to look at is that the lowest, so the fastest rate at which

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the motion was able to go from the mouse to the computer for the Razer mouse was

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about 5.5, which tied the highest or

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worst result from the G900. Just kind of a fun little tidbit. So this time the

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mouse we are testing is the Razer Mamba. As you can see in the top, we're

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comparing it yet again against the G900. So the compare with file is the original

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G900 test that we ran again. We're doing 33 33 trials, the exact same that we're

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doing every time. This time it's going to show up as pink. So yeah, let's get

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started. Okay, so we're done testing the Mamba 2015. And this is kind of why I

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haven't liked wireless mice in the past and probably why a lot of people haven't

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either. Look at the data. It's a mess. You've got results from 0.5, which are

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junk data. We'll explain why that's junk data in a moment, all the way up to

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18.5, which is probably caused due to

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lag in the transmission of data over the wireless signal. If it if it misses a

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report and then has to do it later, it's going to be massively delayed. your mean

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is at about 9.3 which is much higher than the 4.79

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of the G900 but probably more within the

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actual capabilities of the sensor. The problems with the junk data and the

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really really high late reported data is

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more due to the implementation of the sensor instead of the standard

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capabilities. Last but not least, we have click latency. So realistically,

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what all of these different stations have been explaining is that we don't

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necessarily need to be afraid of wireless anymore. I was afraid of

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wireless before, but I think that was justified before this mouse came out

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because, as we've seen, there were some problems with wireless mice. Now, click

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latency would be a huge one if it was worse than say a wired mouse. So, what

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we're going to do here is actually measure that. So, I'll explain how we'll do that. Now, they have a wire going

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into here, but you can see that it's not the actual normal one. This is wired

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directly into the switch instead of actually um the mouse itself so that you

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have your wireless adapter still running. That has been done on the G900,

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a Rival 300, and a Razer Chroma. So, you

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can see there's two wires going into each one of these cuz these are more naturally wired mice. Now, I'm going to

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move these guys out of the way. This uh

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wire from the switch is going into a signal adapter. This then sends it to a

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latency measurer. So what this one is recording off the bat is exactly when

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the uh switch is pressed. Um and then it

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starts a timer from that point in time to when this adapter is able to send the

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signal to the USB analyzer. So that's when it actually receives the signal

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that the switch was pressed because that one isn't wired in. That's a wireless

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signal. So you get to see the total latency of the mouse within your system.

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Similar to how we were testing total latency of the mouse in previous

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sections. This isn't the total latency until something would appear on your

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screen because there's other things within that equation like your graphics card and your monitor and whatnot, but

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this is what Logitech can control. So in order to actually run the test, they set

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up this kind of game thing where you go click on the lit up circle. This is just

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causing you to click a number of times at different intervals so it can be

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recorded over here. Much like the motion testing, motion latency testing that we

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did earlier. It'll show up a graph which will have some slightly rounded numbers,

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but we'll give a good visual representation of the results. So, we're going to run this about 30 clicks and

00:15:39.760 --> 00:15:45.199
then get a result after that.

00:15:43.279 --> 00:15:49.920
So, as you can see graphically, our average is at about 4.5. It kind of all

00:15:48.079 --> 00:15:55.279
huddles in a nice bell curve right around that area. And our mathematical

00:15:52.639 --> 00:16:01.040
not really rounded as much average is at about 4.3. Surprisingly similar to the

00:15:58.480 --> 00:16:05.440
latency in our motion input latency test. So yeah, let's move on and try the

00:16:03.440 --> 00:16:09.680
other mice. The first contender is the Steeler Rival 300, which has its

00:16:07.600 --> 00:16:14.000
firmware updated to the most recent one since last Friday. It's a wired mouse,

00:16:11.680 --> 00:16:18.399
so theoretically up until now, it should be faster. So we'll see if it reigns and

00:16:16.399 --> 00:16:21.519
holds that title. Let's begin the results and then compare it against the

00:16:19.600 --> 00:16:27.519
G900. Okay, so looking up here, we can see the

00:16:24.320 --> 00:16:29.519
blue data is from the Logitech G900. The

00:16:27.519 --> 00:16:35.440
green data is from the Steel Series Rival 300. Um, you can see again the

00:16:33.120 --> 00:16:42.800
mean or general average from the Logitech G900 was about 4.5 and now with

00:16:39.759 --> 00:16:44.880
the Rival 300, it's kind of less of a

00:16:42.800 --> 00:16:49.040
more perfect bell curve. The mean looks somewhere around 7.5, though. Moving

00:16:46.880 --> 00:16:53.279
over to the actual math of things, it looks like the average is, yeah, about

00:16:50.399 --> 00:16:58.000
7.6, which is a pretty significant increase, which is not good. You want a

00:16:55.680 --> 00:17:02.079
lower number again. It's more like golf. So, it's not over yet. Let's try one

00:17:00.000 --> 00:17:05.520
more. So, the program can only store two sets of data at a time. So, for round

00:17:04.000 --> 00:17:12.720
three, I'm actually going to have to redo the G900. So, here we go. G900 test

00:17:09.520 --> 00:17:16.720
two, and then the G900 test two will be

00:17:12.720 --> 00:17:20.240
compared against the Razer Chroma.

00:17:16.720 --> 00:17:22.079
Okay, so that's not really very good for

00:17:20.240 --> 00:17:28.400
the other team. Uh, looking at the graphical average now, it's probably at

00:17:24.480 --> 00:17:30.480
like a little bit below 11. And uh,

00:17:28.400 --> 00:17:36.799
yeah, that's about right. 10.9 milliseconds compared to 4.29.

00:17:34.000 --> 00:17:40.960
Sounds like wireless wins. Okay, that was actually kind of awesome. Uh, I'm

00:17:39.840 --> 00:17:47.200
pretty convinced. Let me know what you guys think in the comments down below or on Twitter at Luke Lafr. Thank you to

00:17:45.280 --> 00:17:51.520
Logitech for sending us here. If you guys want to see more stuff, click up

00:17:49.919 --> 00:17:55.360
here. We've got videos that we show. Usually, this goes at the end of the

00:17:53.440 --> 00:17:58.000
outro. This I'm switching the game up. It's going to the beginning this time.

00:17:56.799 --> 00:18:03.039
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