WEBVTT

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Typically, mean velocity is more suited to your

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strength type exercises, your non -ballistic

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type exercises, so bench, deadlifts, squat, etc.

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And peak velocity is more suited to your explosive,

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powerful exercises. Hi, Steve. It's my pleasure

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to have you on Evidence Strong Show. If you could

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briefly introduce yourself. Hi, Alex. Yeah, thank

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you very much for inviting me on. I'm looking

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forward to chatting with you today. So yeah,

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my name is Dr. Steve Thompson. I'm a senior lecturer

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at Sheffield Hallam University in the UK. I've

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been in sort of academia and research for 10,

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12 years now. I passed my PhD in 2022, obviously

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majoring in velocity -based training and load

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velocity profiling and its ability to... predict

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1RM. And I'm also a practicing S &C coach. So

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I've been accredited for a similar amount of

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time. And I'm currently working with British

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Diving, where we had some successful medalists

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at the Paris Olympics just gone. And I also work

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as a physical performance coach for the English

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Football Association as well. Awesome. Huge credentials.

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I'm very excited to have you. And we'll be talking

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about velocity training. So let's start with

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the basics. Why velocity training? Why should

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we care? Yeah, good question. Why should we care?

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based training is a strategy is a tool that strength

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and conditioning coaches and sports scientists

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have available to them to help inform what they

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do from a training and a testing perspective

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so by utilizing velocity we get objective data

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to help determine someone's physical status or

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physiological status on any given day we can

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also use it as a means to manipulate load to

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also regulate to drive intent to help with programming

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and prescription and optimize the the things

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that our athletes do in the gym you know most

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you'll be aware and i'm sure most of your listeners

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will be aware of the different auto -regulatory

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strategies that are out there repetitions and

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reserve rpe different predictive equations and

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for me velocity is the is the best of the of

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that bunch really it's objective it gives us

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data it's pretty reliable it's pretty valid and

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it has a clear and direct link to our neuromuscular

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function so from my perspective which obviously

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is a bias one I stand by those biases and I truly

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believe that velocity as a tool for improving

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the way we prescribe, program, test and monitor.

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I think it's the best out there. All right. So

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you kind of mentioned what the goal would be.

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So goals can be different. So this is a diverse

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tool that can be used in different ways. So I

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always break it down into sort of six different

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categories. The main fixed roles and responsibilities

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outside of coaching that an S &C coach. typically

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has to undergo or think about so we've got our

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testing whereby you could apply some form of

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low velocity profile which is the most common

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and most popular from a research perspective

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we've got monitoring where you might do some

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simple tracking of velocity to just identify

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sort of that physiological status readiness to

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train type approach we've got programming so

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being able to set velocity zones and targets

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to help athletes understand where and what they

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should be lifting we've got kind of the prediction

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that the auto regulation whereby we might might

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either predict 1RM or we might do a bit more

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of a bespoke, simple approach to load manipulation

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and, you know, adjusting the load on the bar

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based on the velocities that we're seeing. We've

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then got kind of fatigue monitoring, volume control

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through velocity loss. And then the final one,

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which is arguably the most impactful, but unfortunately

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the least researched, is that feedback that you

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can get from velocity and the ability to drive

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intent and competition and just create a really

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healthy environment within that. the weight room.

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And, you know, these are all at the disposal

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of the S &C coach and what they feel is appropriate

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for a given person, a given block of training,

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or a given sort of environment that they're working

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within. And I think you can kind of jump between

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all of them. You know, you could argue that using

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all six is best case scenario, is best practice.

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I think best practice is whatever works for where

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you coach and where you train. The way I normally

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try to describe it is that you can kind of, those

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six categories can kind of... to be split into

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two. You've got those that are ready to go. So

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kind of pick up the technology, stick it on the

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bar and just start using it. So there's no prerequisite

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profiling or testing required. And then there's

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the bits you can do that are a bit more invasive

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or require a little bit more detail and depth

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that would follow on from doing that kind of

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profiling. So if we start with the bang for your

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buck, easy stuff to just pick up, you know, plug

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and go stuff, the feedback is the first. So as

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I mentioned, feedback is where you're in a gym

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and you're... You're doing whatever exercise

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and you're simply feeding back the velocities

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to that individual in order to provide a bigger

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output, a bigger mechanical output. And anybody

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that's used VVT will have seen the positive impact

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that that can have on an environment. So from

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my perspective, it's something that can be done

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really, really easily and can have a big impact

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straight away because it can help athletes understand,

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you know, intent. Certainly from a younger perspective,

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you start to give them some targets or you start

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to sort of... They say, okay, that last rep was

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1 .02. Can you get 1 .05? And they do it and

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they think, oh, okay, now I understand what driving

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intent might feel like. I thought I was doing

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it, but perhaps I wasn't. Well, then you can

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also use it to create a really healthy environment.

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So if you're working in a team setting or a squad

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setting where there's lots of people training

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all at the same time, you can create leaderboards

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or you can split the leaderboards up so it's

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fair. You could do it by relative strength or

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whatever you decide. appropriate way of breaking

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down the squad. And you can chase some velocities

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and create this healthy environment either with

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peers or even with oneself. And there's research

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out there. There's a meta -analysis by Jonathan

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Weakley and his research team that kind of looked

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at all of those different feedback related studies

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and found that velocity can help to improve performance

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and performance is defined by output. So mechanical

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output, typically through measurement of velocity,

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but simply giving that feedback can improve performance

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by eight. which is quite a lot I think certainly

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if you're working with the upper echelons of

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performance I think trying to find 8 % improvement

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would make a big difference so from my perspective

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the feedback aspect of VBT is the easiest to

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implement and potentially has the biggest bang

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for your buck. So I would definitely implore

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everybody just give it a go that invest in VBT.

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Okay, we went through feedback. What would be

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the next one easy to use? So I think from a monitoring

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perspective, there's some real simple testing

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as well. Actually, there's some real simple things

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we can do that often get overlooked. I think

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the first is the idea of readiness to train.

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So the reason I like velocity is, as I mentioned

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earlier, it has kind of like direct link with

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neuromuscular function. If you think about force

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equals mass times acceleration and how we break

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that down and how we split that down, any kind

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of force or velocity measurement directly links

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to what's happening physiologically. If you think

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about force velocity relationships, how that

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links to how a muscle shortens and lengthens,

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there is clear relationships with that type of

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information versus what's happening physiologically.

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So I really like that. It gives me confidence

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in what I'm seeing. So, you know, real simple.

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in us to train instead of jumping and looking

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at jump height or looking at a different metric

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looking at takeoff velocity or peak velocity

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or even mean velocity can give you a real simple

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indication as to whether someone's coming in

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fatigued or not and i never go as far as saying

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if your velocity dropped by x amount we're going

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to strip this amount of load out because i don't

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think it works like that but i think what it

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does do is it sparks a conversation between coach

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and athlete to say right what's going on why

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are your numbers down How did you sleep? How

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are you eating? How's your stress level, et cetera?

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Do you think we need to modify today? And if

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the answer is yes, then you use your coaching

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ability and coaching intuition just to figure

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out what that modification should look like.

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Just one thing on the testing element is more

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around some simple testing. And it goes back

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to Newtonian laws of F equals mass times acceleration.

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And if you think about how we typically test

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strengths, so 1RM testing, for example, you know,

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I have no problem. I have 1RM test my athlete

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and I think it's a very good. reliable, valid

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method of understanding someone's maximal capacity.

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And I think it should definitely be complemented

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in any of the auto -regulation stuff that we

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do. But I do think there are environments where

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1RM testing is unfeasible, impractical. And therefore,

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in order to track strength development, you could

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quite easily pick an arbitrary load, let's call

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it 100 kilograms. And you could, at the start

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of the intervention or a training block, you

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could measure their block, you do exactly the

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same load and you measure their velocity. And

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if we think about what force equals mass times

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acceleration actually means, we know that mass

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is fixed. So mass doesn't change. We know that

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acceleration is a byproduct of velocity. And

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therefore, if acceleration or velocity goes up,

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we know that force goes up, force underpins strength.

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Hey, presto, we have got stronger. Obviously,

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we can't necessarily quantify that as much as

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we would like to with a 1RM and start readjusting

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loads, etc. But as a real simple testing strategy.

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we can determine whether that intervention has

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been successful or not. And at least we have

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some data where in previous, we might not have

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taken that because we haven't got access to this

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technology. So for me, it's a real simple method

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that again, gets overlooked and often isn't used

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as a testing strategy. All right. So we covered

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three, feedback, testing and monitoring. The

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other one on the sort of the plug and play is

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this idea of velocity loss. So velocity loss

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is a way of individualizing volume. prescription.

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So for those that are unaware of what velocity

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loss is, it's basically a way of determining

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when a set should finish. So instead of saying

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you're going to do five sets of five repetitions,

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you might say you're going to do five sets, but

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you're going to stop the set when your velocity

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is dropped by 10, 20, 30, 40 percent, whatever

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it might be. And what this does is it individualizes

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the volume prescription. So we know and research

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has shown that at a given load, individuals lift

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different repetitions. numbers so you and I at

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85 % in a squat will lift different numbers to

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failure different numbers of repetition and therefore

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We individualize the load, the intensity, by

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doing 1RM, calculating 1RM, at percentages of

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1RM, making sure that's what's on the bar. But

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then we say, now go and do 5x5 or 6x3 or whatever

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it might be. And it's very blanket prescription

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based on what we've learned through our careers

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as coaches and within academia and research.

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And the reason I like velocity loss is because

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it takes away that generalized approach. And

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actually now it says, yes, you're going to work

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to the same percentage, but now you're going

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to do the amount. of work that's right for you

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in terms of your physiological state of your

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strength levels your training history etc etc

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so i really i think velocity loss and again is

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something that you can just pick up you don't

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need to do any profiling prior you can just pick

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it up stick it on the bar and and as long as

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you understand the relationship between the percentage

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drop and the physiology then you're off to a

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winner and and on that then i think everybody

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listening would think it's common sense that

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the higher the threshold the more repetitions

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you're going to do the more muscular breakdown

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more more of a metabolic response the more of

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a hypertrophic response you're going to get the

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smaller the threshold less reps less fatigue

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potentially more strength development more targeting

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of power tapering and priming close to competition

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and then there's kind of that spectrum and that

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continuum as to where you might sit based on

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the adaptation that you're trying to achieve

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so again a real simple method for for individualizing

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the volume prescription which i think is an important

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thing that again often gets overlooked Could

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we go through the examples? So following on what

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you suggested before, let's say I have some sets

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to do at 85%. Now, how you would use the velocity

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loss to guide the prescription? Yeah, so if you're

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in a strength block, let's take block periodization

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as a real simple way of breaking it down. So

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that first block accumulation, hypertrophy kind

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of goal response, you're looking at the higher

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end. So you're looking at anywhere between 30

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and 40, 45 % velocity loss. Research suggests

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that... 40 to 45 % is pretty close to where failure

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would be from a velocity perspective. And obviously

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there are lots of research coming out more recently

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that suggests actually training to failure isn't

00:12:22.950 --> 00:12:25.710
as effective for strength and hypertrophy developments

00:12:25.710 --> 00:12:28.149
than not training to failure. So having a little

00:12:28.149 --> 00:12:30.070
bit in the tank is probably worthwhile, but you're

00:12:30.070 --> 00:12:32.110
going to get a lot more mechanical and metabolic

00:12:32.110 --> 00:12:35.029
responses from doing that larger amount of work.

00:12:35.169 --> 00:12:37.909
So yeah, 30 to 40 % is that accumulation block,

00:12:38.049 --> 00:12:40.309
that hypertrophy block. Strength then is going

00:12:40.309 --> 00:12:44.500
to be around 20 to... 25 30 so that's your transmutation

00:12:44.500 --> 00:12:47.120
and then for your realization block which is

00:12:47.120 --> 00:12:49.240
is obviously a bit more of an explosive power

00:12:49.240 --> 00:12:52.960
focus you're looking around 10 10 i think when

00:12:52.960 --> 00:12:55.460
you're then going closer to competition if we're

00:12:55.460 --> 00:12:57.799
in kind of an olympic sport for example and we

00:12:57.799 --> 00:13:00.019
get into that peaking and that tapering strategy

00:13:00.019 --> 00:13:02.539
i would probably be looking at five percent now

00:13:02.539 --> 00:13:05.200
five percent might only be one rep or two reps

00:13:05.200 --> 00:13:07.379
but that's probably what we want at that given

00:13:07.379 --> 00:13:09.840
time because of our proximity to competition

00:13:09.840 --> 00:13:12.179
so that's I would typically break it down. And

00:13:12.179 --> 00:13:13.919
that's based off a lot of research. It's not

00:13:13.919 --> 00:13:16.220
just me making it up. That's kind of all over

00:13:16.220 --> 00:13:18.240
the place with velocity -based research. Thank

00:13:18.240 --> 00:13:19.980
you. That's very helpful. All right, fatigue

00:13:19.980 --> 00:13:22.480
covered. Now we have, do I remember correctly?

00:13:22.820 --> 00:13:25.799
Programming and prediction. Two more. Yeah, so

00:13:25.799 --> 00:13:28.200
I suppose we probably need to just go back to

00:13:28.200 --> 00:13:30.299
the testing element because this is where profiling

00:13:30.299 --> 00:13:32.360
comes in. So obviously the paper that I recently

00:13:32.360 --> 00:13:34.759
published with my colleagues, a big part of that

00:13:34.759 --> 00:13:37.019
was around load velocity profiling. And load

00:13:37.019 --> 00:13:39.840
velocity profiling is an area of research that

00:13:39.840 --> 00:13:41.750
is... heavily researched these days. There is

00:13:41.750 --> 00:13:44.049
lots out there, which is good and also not so

00:13:44.049 --> 00:13:46.710
good sometimes. But load velocity profiling is

00:13:46.710 --> 00:13:48.990
essentially an incremental protocol. It's no

00:13:48.990 --> 00:13:51.230
different to a 1RM. However, you might start

00:13:51.230 --> 00:13:53.490
a little bit lighter. You might go up in more

00:13:53.490 --> 00:13:56.029
sensible increments. So let's say you start at

00:13:56.029 --> 00:13:59.289
30 % 1RM and go up to 110 % increments. You wouldn't

00:13:59.289 --> 00:14:01.490
do that if you were just doing a 1RM. You might

00:14:01.490 --> 00:14:04.509
start at 50, go to 70, 80, et cetera. And so

00:14:04.509 --> 00:14:05.970
there's maybe a few more increments involved

00:14:05.970 --> 00:14:09.029
and every lift is done with maximal antenna.

00:14:09.230 --> 00:14:11.169
and velocity. But apart from that, it's an incremental

00:14:11.169 --> 00:14:13.590
protocol. It's exactly the same as a 1RM. So

00:14:13.590 --> 00:14:15.409
I think firstly, it's important to note that

00:14:15.409 --> 00:14:19.029
sometimes there is this conflict between velocity

00:14:19.029 --> 00:14:21.950
-based training advocate, percentage 1RM advocates,

00:14:22.289 --> 00:14:24.490
and it's almost like the two don't go together

00:14:24.490 --> 00:14:26.889
when I think that's just madness. They absolutely

00:14:26.889 --> 00:14:28.929
should go together and should always go together.

00:14:29.029 --> 00:14:31.149
They are very complementary. So if we're going

00:14:31.149 --> 00:14:34.169
to do our 1RM test, great, get that data, but

00:14:34.169 --> 00:14:36.389
then why not track the velocity on the lower

00:14:36.389 --> 00:14:39.100
loads as well and get that data? same time. If

00:14:39.100 --> 00:14:41.399
we're going to prescribe percentage of 1RM, great.

00:14:41.539 --> 00:14:43.360
That's how we learn. That's how we understand

00:14:43.360 --> 00:14:46.299
where adaptations sit, but use the velocity to

00:14:46.299 --> 00:14:48.279
help guide the prescriptions at the same time.

00:14:48.399 --> 00:14:50.419
So I think that there's definitely a strong marriage

00:14:50.419 --> 00:14:52.679
there that needs to be acknowledged. So from

00:14:52.679 --> 00:14:55.200
a profiling perspective, you are picking a key

00:14:55.200 --> 00:14:57.500
exercise. You are doing the incremental protocol.

00:14:57.759 --> 00:15:00.399
You're measuring velocity alongside the load

00:15:00.399 --> 00:15:02.700
that's being lifted. And then you're simply plotting

00:15:02.700 --> 00:15:05.700
load on the X, velocity on the Y. Once you do

00:15:05.700 --> 00:15:09.580
that, you plot a prediction. equation so a linear

00:15:09.580 --> 00:15:12.460
regression or a second order polynomial line

00:15:12.460 --> 00:15:15.100
through it gives you an equation you then use

00:15:15.100 --> 00:15:17.340
that equation for whatever you need to use it

00:15:17.340 --> 00:15:20.000
for that's load velocity profiling in a nutshell

00:15:20.000 --> 00:15:23.919
and profiling is great for real in -depth understanding

00:15:23.919 --> 00:15:26.899
of force velocity characteristics we can look

00:15:26.899 --> 00:15:29.600
at how someone changes off the back of interventions

00:15:29.600 --> 00:15:32.279
in more depth than just have they got stronger

00:15:32.279 --> 00:15:34.820
we can look at have they got faster have they

00:15:34.820 --> 00:15:38.000
got stronger at lighter loads at How does the

00:15:38.000 --> 00:15:40.740
whole profile shift? Does it shift? all looking

00:15:40.740 --> 00:15:42.320
to the right. Does one bit move? Does another

00:15:42.320 --> 00:15:44.159
bit move? We get a little bit more information,

00:15:44.299 --> 00:15:46.120
which I think is really important. But the main

00:15:46.120 --> 00:15:48.419
thing we can use the profiling for then is programming.

00:15:48.559 --> 00:15:51.740
So we can then start to use and set really bespoke

00:15:51.740 --> 00:15:54.919
individualized targets for our athletes to say,

00:15:55.039 --> 00:15:57.940
right, if you're going to lift 85 % 1RM, that

00:15:57.940 --> 00:16:01.179
equates to 100 kilograms for you and also equates

00:16:01.179 --> 00:16:04.220
to 0 .5 meters per second. Great. So then when

00:16:04.220 --> 00:16:07.000
the athlete goes into the gym, they know firstly,

00:16:07.279 --> 00:16:09.519
okay, I know I need 100 KD on the bar, but it's

00:16:09.580 --> 00:16:12.159
should be lifted at 0 .5 meters per second done

00:16:12.159 --> 00:16:15.620
maximally if for whatever reason that 100k is

00:16:15.620 --> 00:16:19.080
faster or slower well we can then decide whether

00:16:19.080 --> 00:16:21.580
we need to adjust that load that manipulate the

00:16:21.580 --> 00:16:24.639
load so auto regulate and what that allows the

00:16:24.639 --> 00:16:26.759
athlete to do is to become a little bit more

00:16:26.759 --> 00:16:31.240
intuitive and a little bit more self -aware of

00:16:31.240 --> 00:16:33.299
their own training so they become a little bit

00:16:33.299 --> 00:16:35.799
more have a bit a better ownership of their own

00:16:35.799 --> 00:16:37.580
training because instead of now saying go into

00:16:37.580 --> 00:16:39.879
the coach i don't feel So if I drop it a bit,

00:16:39.940 --> 00:16:42.159
they can use the data themselves. They know this

00:16:42.159 --> 00:16:44.419
should be at 0 .5. It's now coming out at 0 .4.

00:16:44.519 --> 00:16:46.039
Well, then they know they need to take a little

00:16:46.039 --> 00:16:48.399
bit off to hit that zone that's been set by the

00:16:48.399 --> 00:16:50.240
coach. So I think that can be a really powerful

00:16:50.240 --> 00:16:53.100
tool, not only in optimizing prescriptions, but

00:16:53.100 --> 00:16:55.440
in educating athletes at the same time in terms

00:16:55.440 --> 00:16:57.580
of taking ownership of their own training. The

00:16:57.580 --> 00:17:00.860
only downfall is you have to have the time and

00:17:00.860 --> 00:17:03.500
the resource to be able to go through the profile.

00:17:03.639 --> 00:17:06.099
Every exercise has its own profile. So there's

00:17:06.099 --> 00:17:08.849
no, it's not one profile. fits all and every

00:17:08.849 --> 00:17:10.930
individual has their own profile so if you are

00:17:10.930 --> 00:17:13.069
working with a big squad it becomes a little

00:17:13.069 --> 00:17:16.150
bit more difficult to manage that there are options

00:17:16.150 --> 00:17:18.670
out there you know the quite heavily researched

00:17:18.670 --> 00:17:20.910
is is what's called a two -point method whereby

00:17:20.910 --> 00:17:24.250
you take two proximal points so two distal points

00:17:24.250 --> 00:17:27.089
within a profile so you might do 40 percent and

00:17:27.089 --> 00:17:29.730
85 percent and you get those two loads and those

00:17:29.730 --> 00:17:31.329
two velocities and you draw the line through

00:17:31.329 --> 00:17:33.789
and you can then calculate the rest of the of

00:17:33.789 --> 00:17:36.490
the spectrum great in upper body exercises great

00:17:36.490 --> 00:17:38.730
in smith machine exercises from what i've seen

00:17:38.730 --> 00:17:41.569
and what i've experienced not the best lower

00:17:41.569 --> 00:17:43.829
body freeway exercises i think you need a few

00:17:43.829 --> 00:17:47.230
more loads so one of my pieces of research from

00:17:47.230 --> 00:17:50.269
my phd looked at a four point method within a

00:17:50.269 --> 00:17:53.170
back squat and a combined back squat jump squat

00:17:53.170 --> 00:17:55.950
which had some real good success so i think it's

00:17:55.950 --> 00:17:58.970
definitely doable um from a prescription perspective,

00:17:59.089 --> 00:18:01.650
but the accuracy of the prediction on a two -point

00:18:01.650 --> 00:18:04.509
method is not always 100 % now. Could you speak

00:18:04.509 --> 00:18:06.890
a little bit more on the testing of back squat

00:18:06.890 --> 00:18:09.529
and jump squat, did you say? Yeah. So I kind

00:18:09.529 --> 00:18:12.690
of acknowledge that when we profile, let's say

00:18:12.690 --> 00:18:15.109
we profile a back squat, we often try and get

00:18:15.109 --> 00:18:18.210
the lighter load. So anything as low as 20, 30

00:18:18.210 --> 00:18:21.789
% perhaps, but we're asking individuals, athletes

00:18:21.789 --> 00:18:25.650
to back squat 20 % at maximal intent and velocity.

00:18:26.029 --> 00:18:28.470
And if you've ever tried doing that it feels

00:18:28.470 --> 00:18:31.309
very weird it's very difficult to control the

00:18:31.309 --> 00:18:33.690
reliability of the data at that in such a light

00:18:33.690 --> 00:18:36.509
load because of that deceleration phase you get

00:18:36.509 --> 00:18:38.470
because you're not leaving the ground and that

00:18:38.470 --> 00:18:40.250
sort of braking phase on in a non -ballistic

00:18:40.250 --> 00:18:42.650
exercise i think it had a big impact on the what

00:18:42.650 --> 00:18:44.990
the data actually looked like so we tested and

00:18:44.990 --> 00:18:48.150
and researched a combination of doing a jump

00:18:48.150 --> 00:18:50.730
squat but a full jump squat so full descent as

00:18:50.730 --> 00:18:52.529
you would the back squat and then just accelerate

00:18:52.529 --> 00:18:55.849
through and off the ground from zero percent

00:18:55.849 --> 00:18:59.430
to 60 % 1RM and then we continued with the back

00:18:59.430 --> 00:19:01.910
squat. Took a combination of those in order to

00:19:01.910 --> 00:19:04.569
predict 1RM and found that was far more successful

00:19:04.569 --> 00:19:06.750
than just doing back squat alone. Sorry, do you

00:19:06.750 --> 00:19:11.150
plot it on one load velocity curve? Yes. So you

00:19:11.150 --> 00:19:14.809
work off percentages of back squat 1RM, but you

00:19:14.809 --> 00:19:17.589
would simply jump at the lighter loads and you

00:19:17.589 --> 00:19:19.690
would still do full descent, just accelerate

00:19:19.690 --> 00:19:21.769
all the way through and leave the ground at those

00:19:21.769 --> 00:19:23.490
lighter loads and plot it. And actually what

00:19:23.490 --> 00:19:25.710
you find is it now becomes more of a curved line.

00:19:25.799 --> 00:19:28.519
So you apply a second order polynomial instead

00:19:28.519 --> 00:19:30.680
of a linear regression and the predictions were

00:19:30.680 --> 00:19:33.400
much, much better. So it's something that I always

00:19:33.400 --> 00:19:37.339
try and use and try and advocate when I'm talking

00:19:37.339 --> 00:19:39.779
to people about profiling. Do you use mean or

00:19:39.779 --> 00:19:43.039
peak velocity? Mean, yeah. I always try to use

00:19:43.039 --> 00:19:45.440
mean from a profiling perspective because, again,

00:19:45.559 --> 00:19:48.079
it's just a slightly more stable metric. Peak

00:19:48.079 --> 00:19:50.420
velocity, depending on the technology and depending

00:19:50.420 --> 00:19:53.579
on the way it's been done, can sometimes throw

00:19:53.579 --> 00:19:57.960
out some erroneous data. could you speak a little

00:19:57.960 --> 00:20:02.299
bit more about peak and mean velocity and when

00:20:02.299 --> 00:20:06.279
you would use which one and why yeah so typically

00:20:06.279 --> 00:20:09.660
mean velocity is is more suited to your strength

00:20:09.660 --> 00:20:12.539
type exercises so your non -ballistic type exercises

00:20:12.539 --> 00:20:16.119
so bench deadlifts squat etc and peak velocity

00:20:16.119 --> 00:20:20.240
is more suited to your explosive powerful exercises

00:20:20.240 --> 00:20:23.400
so maybe weightlifting derivatives loaded jumps

00:20:24.240 --> 00:20:26.160
if you use any kind of unloaded jumps as well.

00:20:26.279 --> 00:20:28.700
I think that's fine. I think that works. And

00:20:28.700 --> 00:20:32.000
I agree that that's how it's typically used.

00:20:32.319 --> 00:20:35.420
I would always look at mean velocity, whatever

00:20:35.420 --> 00:20:37.940
the exercise, because from my perspective, mean

00:20:37.940 --> 00:20:40.460
velocity is a more stable metric. And I think

00:20:40.460 --> 00:20:43.039
it's important that you look at the more stable

00:20:43.039 --> 00:20:45.779
metric as well, just in case peak velocity starts

00:20:45.779 --> 00:20:47.660
to throw out some of that erroneous data that

00:20:47.660 --> 00:20:50.960
I mentioned. But they are both perfectly viable,

00:20:51.160 --> 00:20:54.289
have their place. And as I mentioned, kind of

00:20:54.289 --> 00:20:56.230
suited to the different types of exercises that

00:20:56.230 --> 00:20:57.950
we would typically do within a gym. But I think

00:20:57.950 --> 00:20:59.589
it's important just to keep your eye on the mean

00:20:59.589 --> 00:21:01.369
velocity, whatever the exercise, just so you

00:21:01.369 --> 00:21:04.069
know that the data looks right. Should we go

00:21:04.069 --> 00:21:08.329
into prediction first? So the idea of 1RM prediction

00:21:08.329 --> 00:21:12.210
is based off a profile whereby you do a submaximal

00:21:12.210 --> 00:21:14.109
profile. So you don't need to take someone up

00:21:14.109 --> 00:21:16.890
to 1RM and you utilize the equation I mentioned

00:21:16.890 --> 00:21:19.970
in order to extrapolate to where that 1RM would

00:21:19.970 --> 00:21:23.309
be. So essentially you could do a... full profile

00:21:23.309 --> 00:21:26.630
1RM test and figure out someone's velocity at

00:21:26.630 --> 00:21:30.069
1RM. Then the next session, you do a submaximal

00:21:30.069 --> 00:21:32.150
profile of maybe two or three loads, plug in

00:21:32.150 --> 00:21:34.990
where the velocity should be for their 1RM and

00:21:34.990 --> 00:21:38.069
extrapolate down and predict what your 1RM would

00:21:38.069 --> 00:21:40.450
be for that given day. Now, I've seen it be done

00:21:40.450 --> 00:21:43.089
very well and I've done it myself very well in

00:21:43.089 --> 00:21:45.769
terms of the approach, but I've also seen it

00:21:45.769 --> 00:21:49.009
be done very poorly and found some remarkable

00:21:49.009 --> 00:21:51.960
predictions of 1RM. And I think coaches... need

00:21:51.960 --> 00:21:55.319
to be wary of using it religiously because it

00:21:55.319 --> 00:21:58.200
can often if one thing isn't quite right one

00:21:58.200 --> 00:22:01.500
lift is is done not with maximal intent or there's

00:22:01.500 --> 00:22:03.599
some issue with the technology it can throw the

00:22:03.599 --> 00:22:06.140
predictions completely off and it's it's something

00:22:06.140 --> 00:22:08.839
that then has a much bigger impact further down

00:22:08.839 --> 00:22:12.559
the line so i often advocate the more acute load

00:22:12.559 --> 00:22:16.980
manipulation based on the profile how I described

00:22:16.980 --> 00:22:19.440
it earlier in terms of get your full profile,

00:22:19.700 --> 00:22:21.460
learn, you know, figure out what loads you want

00:22:21.460 --> 00:22:24.519
to lift at and then essentially figure out what

00:22:24.519 --> 00:22:26.940
that velocity should be and then put a little

00:22:26.940 --> 00:22:30.420
zone around it. So let's say your target is 0

00:22:30.420 --> 00:22:33.440
.5 meters per second. You might go 0 .03 the

00:22:33.440 --> 00:22:36.859
side. So you've got from 0 .47 to 0 .53. There's

00:22:36.859 --> 00:22:38.920
your zone. Stay in that zone for all of your

00:22:38.920 --> 00:22:41.019
sets. If you come out of it, take a little bit

00:22:41.019 --> 00:22:42.839
off or put a little bit on. And I think that's

00:22:42.839 --> 00:22:45.799
a much simpler way of... auto -regulating than

00:22:45.799 --> 00:22:49.779
trying to use fancy equations and potentially

00:22:49.779 --> 00:22:53.240
troublesome equations to predict what your actual

00:22:53.240 --> 00:22:55.640
1RM could be on that given day. I think the other

00:22:55.640 --> 00:22:57.519
thing is those predictions need to be done at

00:22:57.519 --> 00:22:59.440
the start of every session. That's time consuming.

00:22:59.619 --> 00:23:01.819
It could take 15, 20 minutes to do it. And if

00:23:01.819 --> 00:23:04.220
you've only got 45 to 60 minutes with a full

00:23:04.220 --> 00:23:06.400
squad, it's just not feasible. So I think there

00:23:06.400 --> 00:23:08.460
are, and this is coming from someone, by the

00:23:08.460 --> 00:23:10.720
way, who studied this as a part of their PhD.

00:23:10.819 --> 00:23:13.480
And I now sort of suggest maybe not that worth

00:23:13.480 --> 00:23:15.670
it. I did it for five and a half years. So, you

00:23:15.670 --> 00:23:18.809
know, it's not coming from any negative bias.

00:23:18.910 --> 00:23:21.569
It's from experience of thinking, well, is it

00:23:21.569 --> 00:23:23.569
the best way of doing it? And I don't think it's

00:23:23.569 --> 00:23:25.630
the simplest way, that's for sure. I think there's

00:23:25.630 --> 00:23:27.569
other ways that we have the same kind of impact

00:23:27.569 --> 00:23:30.410
without having to go through the same process

00:23:30.410 --> 00:23:32.809
at every start of every session and then trust

00:23:32.809 --> 00:23:35.650
some equations that perhaps are not always going

00:23:35.650 --> 00:23:38.210
to be as valid as we hoped. What would be your

00:23:38.210 --> 00:23:41.410
comment on trying to predict, for example, with

00:23:41.410 --> 00:23:44.690
athletes who cannot do... one rm testing and

00:23:44.690 --> 00:23:48.349
do a block with them and then try to predict

00:23:48.349 --> 00:23:50.450
at the end of the block whether they got stronger

00:23:50.450 --> 00:23:53.109
in let's say back squat yeah i think that's again

00:23:53.109 --> 00:23:55.670
a viable option like i said at the very start

00:23:55.670 --> 00:23:58.210
of this of this recording vbt is very flexible

00:23:58.210 --> 00:24:00.329
and if you're working with athletes who for whatever

00:24:00.329 --> 00:24:02.670
reason can't do one rm testing then you have

00:24:02.670 --> 00:24:05.009
to think of a way around that and prediction

00:24:05.009 --> 00:24:07.849
might be that i think one of the ways that it

00:24:07.849 --> 00:24:09.990
can obviously work is if you are working with

00:24:09.990 --> 00:24:12.009
individual athletes and you have a little bit

00:24:12.009 --> 00:24:14.599
more time time. But I think that there are also,

00:24:14.799 --> 00:24:17.319
there's a whole host of research out there that

00:24:17.319 --> 00:24:21.380
we can try and utilize. So while we want to individualize

00:24:21.380 --> 00:24:23.839
as much as we possibly can, if you're not able

00:24:23.839 --> 00:24:25.980
to do that for whatever reason, there's going

00:24:25.980 --> 00:24:28.599
to be some research out there that has breakdowns

00:24:28.599 --> 00:24:31.859
of velocity zones and velocity targets based

00:24:31.859 --> 00:24:34.279
on percentages of 1RM in a population that's

00:24:34.279 --> 00:24:36.000
probably very similar to the one that you're

00:24:36.000 --> 00:24:38.000
working in, that you could maybe think, well,

00:24:38.039 --> 00:24:39.440
let's cut out the middleman and let's just take

00:24:39.440 --> 00:24:41.460
that data. The whole point of the profile for

00:24:41.460 --> 00:24:43.339
a programming perspective is to set targets and

00:24:43.339 --> 00:24:46.240
zones. So if we have that data already and we're

00:24:46.240 --> 00:24:48.779
kind of fairly confident that the population

00:24:48.779 --> 00:24:51.680
is similar enough that we can be confident that

00:24:51.680 --> 00:24:54.299
those velocity targets are going to be not too

00:24:54.299 --> 00:24:56.599
far away, well, why don't we just use that and

00:24:56.599 --> 00:25:00.319
let's save some time? So there are lots of ways.

00:25:00.779 --> 00:25:03.640
to do it. There are lots of ways to use VBT successfully.

00:25:03.980 --> 00:25:05.940
There are a few ways to use it unsuccessfully,

00:25:06.059 --> 00:25:08.720
but I think trying to keep it as simple as possible

00:25:08.720 --> 00:25:11.839
is definitely the place to start and then build

00:25:11.839 --> 00:25:14.680
out on top of it. Don't go sort of bowling in

00:25:14.680 --> 00:25:17.940
with the one -iron predictions and full profiles

00:25:17.940 --> 00:25:20.619
if you've never picked up a VBT device before.

00:25:20.720 --> 00:25:22.640
Just have a play around first. What have you

00:25:22.640 --> 00:25:26.019
seen coaches doing wrong in terms of using VBT?

00:25:26.279 --> 00:25:29.059
The thing that I'm mindful of the most, and this

00:25:29.059 --> 00:25:31.339
came out of that call, qualitative research that

00:25:31.339 --> 00:25:34.119
i did upon my phd is that coaches don't become

00:25:34.119 --> 00:25:37.279
ipad coaches that was that was a big drawback

00:25:37.279 --> 00:25:39.640
that came out of that research that you then

00:25:39.640 --> 00:25:43.460
become so ingrained in the technology head in

00:25:43.460 --> 00:25:46.000
an ipad looking at the data you forget to coach

00:25:46.000 --> 00:25:48.720
and i think that's a big part of what we do snc

00:25:48.720 --> 00:25:52.089
coaches are there to work with athletes in person,

00:25:52.250 --> 00:25:55.230
make sure that they are moving right, lifting

00:25:55.230 --> 00:25:57.690
right, doing the right things in the right way,

00:25:57.769 --> 00:25:59.750
building those relationships. If you've got your

00:25:59.750 --> 00:26:03.029
head in an iPad, that then suffers. So I think

00:26:03.029 --> 00:26:06.109
that's one bit is either you use it at the right

00:26:06.109 --> 00:26:09.089
times. So pick one or two exercises, use it for

00:26:09.089 --> 00:26:11.849
those and then put it away or educate your athletes

00:26:11.849 --> 00:26:14.269
to be able to use it themselves so that you can

00:26:14.269 --> 00:26:17.259
be then. in that environment and be coaching,

00:26:17.400 --> 00:26:19.359
et cetera, and not having to worry about what

00:26:19.359 --> 00:26:21.400
the technology is telling us. I think that's

00:26:21.400 --> 00:26:23.920
probably the main sort of cautionary piece of

00:26:23.920 --> 00:26:26.019
advice I would give. Well done, thank you. There

00:26:26.019 --> 00:26:28.420
are lots and lots of things that we can do. You

00:26:28.420 --> 00:26:31.220
can be extremely invasive and fully immersive

00:26:31.220 --> 00:26:34.200
with VVT and every little bit has some kind of

00:26:34.200 --> 00:26:36.180
data attached to it. And if that works, that's

00:26:36.180 --> 00:26:38.220
what your athletes like, then go for it. I think,

00:26:38.240 --> 00:26:40.380
you know, brilliant. But be mindful that not

00:26:40.380 --> 00:26:43.619
every athlete likes. data not every athlete likes

00:26:43.619 --> 00:26:45.980
using technology and i think being mindful of

00:26:45.980 --> 00:26:48.460
that as well is important to remember that there's

00:26:48.460 --> 00:26:51.319
a person behind the device or the underneath

00:26:51.319 --> 00:26:53.420
the barbell that that needs to be brought into

00:26:53.420 --> 00:26:56.220
that conversation and that decision as to to

00:26:56.220 --> 00:26:58.660
how and when it's used awesome you made me excited

00:26:58.660 --> 00:27:02.640
about vbt so right all right two short questions

00:27:02.640 --> 00:27:05.619
to finish the first one is what is your favorite

00:27:05.619 --> 00:27:07.980
lift favorite lift back squat why is that it's

00:27:07.980 --> 00:27:09.940
just something i've always loved doing do it

00:27:10.430 --> 00:27:12.849
every session if I can it makes me from a from

00:27:12.849 --> 00:27:14.970
a movement perspective I feel good after doing

00:27:14.970 --> 00:27:17.470
it it's one that I always sort of able to get

00:27:17.470 --> 00:27:20.529
stuck into and and yeah I'd say it's the pretty

00:27:20.529 --> 00:27:23.319
pretty staple of of any kind of ethnicity program.

00:27:23.500 --> 00:27:26.220
Sounds about right. If people want to follow

00:27:26.220 --> 00:27:28.799
your work, see what you're up to, maybe ask a

00:27:28.799 --> 00:27:31.740
question where they should go online to find

00:27:31.740 --> 00:27:35.619
you. Yep. So you can contact me on X. So that's

00:27:35.619 --> 00:27:38.720
my handle is at Steve381. I do have an Instagram

00:27:38.720 --> 00:27:42.099
account, SteveThompson99T. Not necessarily, I

00:27:42.099 --> 00:27:44.160
don't use it for work that much, but I'm happy

00:27:44.160 --> 00:27:46.640
for people to reach out on there or email is

00:27:46.640 --> 00:27:49.460
always fine as well, which we can put under the

00:27:49.460 --> 00:27:51.079
show notes or whatever. All right. Sounds good.

00:27:51.119 --> 00:27:52.759
Thank you so much, Steve. It was a pleasure.

00:27:52.859 --> 00:27:54.380
Bro, thanks, Alex. Appreciate it.
