This๐. Iโll add that with more than 50 yrs of materials science characterizing the fatigue behaviour of biological tissues in response to load itโs a shame that exercise scientists ever thought that cumulative load was a meaningful measure to predict injury.
PSA: Weโre sharing the data and code behind some of our articles and graphics. We hope youโll use it to check our work and to create stories and visualizations of your own. https://t.co/mitQaVzx2J
@joshrbaxter @jamesmfinley essentially game slows down at the end and that is when higher skilled players are required (fewer 'easy' baskets because you're playing against a set defence)
@CoachAlanBishop sorry, this is such a horse shit reason to not pay someone - either don't hire someone for free or do your due diligence as an employer and make sure the person you're hiring (and paying) will be a useful contribution to your team
Every paper has open data if they present a scatterplot.
1) Download WebPlotDigitizer https://t.co/bBtUpduPMQ
2) Load a scatterplot screenshot
3) Select each datapoint
4) Download the .CSV file with each datapoint
From now on, every time I see an unpaid internship posting I am going to send in a fake application just so I can waste that person's time like they wasted mine
@coffman91 Just saying 'neck strength' is a pretty blanket statement considering we don't have a great grasp on what muscular qualities might mitigate head accelerations. For example, this study showed neck stiffness is important, while strength isn't https://t.co/fXQV1cWTPO
@lesleejshaw @Ricky_Turgeon I appreciate calls for respectful discourse, but *deeply* disagree with the insinuation of this tweet that a paper which has gone through peer review is above reproach or further discussion.
@CWagon75 An important caveat which makes your question quite relevant: the exact characteristics of muscles for these purposes is still pretty unclear...strength? stiffness? RFD? neuromuscular factors? a combo? Practical interventions might require some (educated) guess work
@CWagon75 I don't know what the consensus among S&C people is, but from a biomechanical point of view it would be logical to use muscles controlling head rotation to dampen high accelerations โ both during an initial impact and negative accel when stopping head movement
That being said, using machine learning to capture and organize human movement data makes sense. Just probably not for predicting what that information means or what you should do with that information
'tech savvy' sports scientists are trying to help coaches by using black box machine learning algorithms to inform decision making...but don't realize that's what the coach is too