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  1. JD08

    Phil Steele's 2019 Surprise Teams

    That's where displaying multiple metrics becomes relevant. So you can see the difference between say yards after catch overall versus YAC against teams with a winning record. That helps give the accurate picture instead of cherry picked stats to further a narrative.
  2. JD08

    Phil Steele's 2019 Surprise Teams

    Stats are fine to a point, but people put far too much faith in predictive analytics. They somehow think that a computer did it so it's devoid of any subjectivity. In practice, there's often even more bias because they can hide behind the "data doesn't lie" defense.
  3. JD08

    Phil Steele's 2019 Surprise Teams

    Plenty of preductive computer models fail with their datasets also. Just look at the difference between hand timed and automated 40 yd numbers. Its the subtle biases that ***** up models.
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