Welcome @TulsaSoftball to #MPEfam ! 👊 As always, we didn’t come to install a new method. We came to connect the dots. - Why this drill clicks with one player and goes nowhere with the next. - Why a cue that looks perfect on paper works for some athletes and completely stalls others. 🔥 That’s what motor preferences are: - Not a style. - Not “the right technique.” - But the way each player already organizes movement, force, and timing. 👀 Once coaches see that, a lot of things stop being random. #Softball @NCAASoftball

🤔 There is a position I see more and more in performance environments: if we can measure something, we assume we understand it. 👊 Technology has given us incredible tools. We can measure joint angles, ROM, force, velocity, timing, separation, asymmetries, workload and hundreds of other variables with a level of precision we simply didn't have before. That is progress. 👀 But measurement and understanding are not the same thing. 👉 One of the mistakes we have to be careful with is confusing the apparent anatomical origin of a movement with the global strategy used to produce it. - If I measure limited mobility somewhere, I have objectively identified a capacity. If I measure more pelvis-trunk separation after an intervention, I have objectively identified a change in the movement. 👀 But the moment I explain why the athlete was moving that way before, I have moved from measurement into interpretation. - A movement is the result of an entire system organizing itself around the athlete's morphology, available mobility, strength, coordination, previous injuries, training history, fatigue, task constraints and individual movement strategies. 🚨 Two athletes can produce the same measurable output through very different solutions. And the same athlete can produce different outputs while maintaining elements of the same underlying strategy. This is why I believe we need to separate four things very clearly: - What we measure. - What we observe. - What we interpret. - What we assume. Data is extremely valuable. But data does not eliminate interpretation. And changing a number does not automatically mean that we have improved the athlete. - More mobility is not always better. - More separation is not always better. - More force is not always better. 🤔 The question is always: better for whom, for what task, and at what cost? - Can the athlete control it? - Can they repeat it? - Can they tolerate it under fatigue and workload? - Does it improve performance? - And what happens months later? 🚨 The goal of athlete evaluation shouldn't be to choose between observation and technology. It should be to combine them while remaining disciplined enough to know where the measurement ends and where our hypothesis begins. #motorpreferences #baseball