Too Much Information for Sports

  • Comments posted to this topic are about the item Too Much Information for Sports

  • I just love it when an athlete does something just absolutely impossible, that the data of the day says can't be done, such as Roger Bannister breaking the 4 minute mile, or Bob Beamon going 3 feet longer than anyone else in the long jump.

  • -1 for talking about the She-Hawks. Go Niners!


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  • I like Doug Baldwin's quote, too. I think there's too many people who just affirm the consequent with the data they have, rather than ask themselves what the data means.

    Kindest Regards, Rod Connect with me on LinkedIn.

  • If it didn't take enormous talent to achieve what the data suggests (and more) then we would all be very rich people and I, no doubt, would have met some of you, face cage to face cage. But it isn't that way. Sport isn't about statistics. It's about that magical moment where one athlete out thinks and outmoves another in the face of all the available data. Or rather in spite of both sides playing the data to the best of their, and their team's, ability.

    Go 'skins!!!

    Gaz

    -- Stop your grinnin' and drop your linen...they're everywhere!!!

  • +1 for talking about the SeaHawks! πŸ˜€

    don't discount the human factor in applying experience and understanding to extracting information from that data

    Also, don't forget that experience and understanding can also equal "bias". Just because something has "always been that way" doesn't mean it was right. As a child and young adult I always heard it was physically impossible for bumble bees to fly. What that really meant was we humans hadn't figured out the aerodynamic equations yet.

    Experience is good. Not letting it sway you is better. Not saying it's easy, just saying it's something to think about. 😎


    Here there be dragons...,

    Steph Brown

  • If we think of data as a tool, more tools are better than fewer tools. And like any tool, you have to know how to use it. And thus, your quote from Doug Baldwin is great:

    β€œYes, the data and information is useful, and give it all to me. But at the end of the day, the user has to use it the right way.”

    The more you are prepared, the less you need it.

  • Bias is certainly there, but hopefully the data helps you sort out where you have bias, and where you have experience that matters.

    I know it isn't simple, but as Anders noted, more tools, especially the more you learn to use them, hopefully the better you get at whatever you're doing.

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