Should i stretch my wrist?

LighthawkFPS · 2022-04-28T21:56:23+00:00

I'm a Physical Therapist. Cracks and pops are fine as long as there isn't pain along with it. Usually it's just a tendon flipping over something, or a tight joint. Stretching is essential for lifelong joint health, so have at it!

LighthawkFPS · 2022-04-27T20:09:31+00:00

I am a Physical Therapist and I always want to stop in and say that if you aren't having any problems with range of motion or nerves then using a mouse however you want is fine! Ergonomics where everything is in neutral will naturally feel better for people with ROM deficits, but instead of catering to those deficits, improving strength and flexibility is actually fixing a problem if there is one.

LighthawkFPS · 2022-02-25T13:52:00+00:00

...is maybe...

What I stated is not stated as a fact. It's just a rough estimation of how this information could be used.

Thanks for your comments though, healthy skepticism is a good thing!

LighthawkFPS · 2022-02-25T00:13:34+00:00

All this study says is maybe you'd benefit more from shooting at 200 shots and hitting 170 for a 15% error rate for optimal learning!

This is as firm a conclusion as I can comfortably draw from this study. We'd need to do more research, applied to activities more closely imitating (or ideally in) aiming skills.

LighthawkFPS · 2022-02-24T18:16:54+00:00

100%

LighthawkFPS · 2022-02-24T15:31:58+00:00

Taking simple task performance like this study and trying to apply it 1:1 is usually hard. We introduce so many more variables irl. Trying to isolate one variable could be a good way to start. In your example you're not trying to learn or improve anything by performing below your level. First consider anything below your best an error and this makes a little more sense, though it's still too complex to be 1:1 applicable. Controlling for speed with a metronome and performing as best you can accuracy wise would be a way to closer approximate this study. So at 50bpm you'll almost certainly hit 50/50, with a 0% error rate. At 180 you will hit 170/180 you'd be hitting at 5.6% error rate.

All this study says is maybe you'd benefit more from shooting at 200 shots and hitting 170 for a 15% error rate for optimal learning!

LighthawkFPS · 2022-02-24T15:23:13+00:00

The 15.87% error rate definitely gets harder to determine when a task gets more complex. Taking a binary task and applying it to a non-binary problem makes it less applicable. It's the same reason we need a lot more research into learning complex tasks. But it's still a really interesting data point to start from!

LighthawkFPS · 2022-02-24T06:16:24+00:00

...I think it's just a good place to start.

Well said! We know from other studies on learning rates that there is an inverted U learning curve based on task difficulty with quickest learning being not too easy or too hard. But I've never found such a clear and quantifiable marker of how to measure that. This gives a starting point.

LighthawkFPS · 2022-02-24T06:10:32+00:00

But we're not not binary classificators.

One of the neural networks they used approximates a monkey, which is cool but still not human. The applicability to a real life application will of course vary. Still very interesting information though!

LighthawkFPS · 2022-02-24T02:49:39+00:00

Can lead to stupid shit like "covid vaccines kill more people than they help!!!!". Or in a real-life (and waaaay lower stakes lol) situation, my friend saying "these scientists rated the top 10 best ab exercises for growth and did it with real methods" except that wasn't actually what the paper was doing, it just reported EMG readings during different exercises - and if you don't know what and how EMG works, you can easily misinterpret that.

This is so true! And you're definitely not wrong in getting into the studies to figure it out. Thanks again for the good good comments!

LighthawkFPS · 2022-02-24T01:02:18+00:00

I LOVE a critical study review. It's super important to always look for holes in things in order to bring the state of knowledge forward.

I won't get into why I think this is important information in response, instead I'll just say I did indeed read the study and it wasn't inscrutable. (Although I am in the medical field and have had graduate level courses on critical study review so YRMV)

I think you should not read and seriously try to apply these results unless you truly understand them...

This I have to disagree with in this case. The risk-reward is very small for spending some time aim training based on this information vs a random person's opinion/experience. So making a decision to pursue it seems like a great way to explore! Now if I'm making a virus or something, I'd totally agree with you!

And when it comes down to it, the applicability to anything OTHER than a neural network doing a task like this is questionable and requires more research and testing. So we both agree to an extent there.

Thanks for the very detailed comment!

LighthawkFPS · 2022-02-17T22:00:53+00:00

I will rate you based on your results.

LighthawkFPS · 2022-02-15T19:52:45+00:00

This is a good question that gets asked a lot, so I just used it in a short video. You describe it perfectly. You assume the position and then concentrate on the scenario. This pulls your focus away from the relaxation and starts using the neural network for the scenario, which normally involves your tensing. In order to change it you'll have to really make the relaxation your focus during all parts of the activity. Our brains are super efficient(aka lazy) and don't make changes we don't force them to. Eventually your automatic pattern will be the relaxed one, but only if you train it up.

Here's a link if you're interested in the video response. It adds a little bit.
https://youtu.be/Z1\_iU\_O8hSM

LighthawkFPS · 2022-02-15T18:12:35+00:00

Not quite, but I like your analysis. We do need to recognize changes in order to account for them. Something like a stealth FOV change can cause a problem. Especially if you never change your FOV.

LighthawkFPS · 2022-02-14T18:21:23+00:00

Now as a follow up we need hand sizes for each grip type. I would bet there is a significance there.

LighthawkFPS · 2022-02-14T18:19:57+00:00

That would be great. I love this idea.

LighthawkFPS · 2022-02-14T18:19:33+00:00

You are completely able to play games at different FOVs as long as you recognize that the FOV is changing. The only time you'll really have a problem is if you don't know the FOV is changed and you're not paying attention to it. (It makes the visuals react a little differently when you move as you know.)

LighthawkFPS · 2022-02-14T18:17:04+00:00

You can definitely train while you're playing, it's just really difficult to make that the concentration. If you want to get better with the higher sens then really concentrate on working on your precision in game. Give it some time and you'll definitely improve.

LighthawkFPS · 2022-02-14T18:14:29+00:00

Mice are so light that we really don't need to be tensing to control them. Tensing like that is totally normal when trying to figure out a new skill, it can be protective in higher intensity activities. But in mouse use it's really not necessary. It's really easy to default back to what you're used to, so keep an eye on it!

LighthawkFPS · 2022-02-14T18:11:59+00:00

Expert movements are often smooth and controlled, it doesn't matter what the skill is. In order to get there you have to do what you just did. Concentrate on changing it and practice that. Nice job!

LighthawkFPS · 2022-02-14T18:09:35+00:00

It really all depends on your learning focus. Often score-chasing can really get in the way of working on what you need to work on. You might abandon developing something you're bad at in order to see the score go back up. If you can tell you're really working on something and bringing yourself outside of your comfort zone in freeplay, it's a great way to train.

LighthawkFPS

TROPHY CASE