80% average Pitch Type Probability on both the four seam and slider, which takes into account usage by count and handedness www.baseballprospectus.com/player/10612...

holy shit i know so few of these, i am washed 😭

All three of those are good because the takeaways are language agnostic (despite the latter two being written for python). Statistical Rethinking specifically has been translated into a ton of programming languages.

My #1 is always Statistical Rethinking from Richard McElreath (xcelab.net/rm/)

"Data Science from Scratch" & "Essential Math for Data Science" were great, & I went through them at the same time. Understanding the mechanics of data science allowed me to think more creatively about applications.

happy thanksgiving to you too, bud, happy to hear y'all are doing well. miss the old online days

energy has moved to Cars And Bids and Bring A Trailer. I'm stewing on not owning this Mustang bringatrailer.com/listing/1973...

PL MAX

but enough about you and me

that's awful, so glad y'all are all safe

Agreed, I think I just wish the presentation was more clear in that it's a rough 2d approximation, and is ultimately representing nothing more than the difference in the observed movement angle and statcast's 2d spin axis, which is already included in all major public stuff models

Agreed. This dot product method seems useful as a quick approximation, though no new physics are being introduced and the conclusions drawn here will be no different than if using other methods that utilize statcast's spin_axis without the 3d spin vector.

He's assuming that the magnitude of movement along the spin_axis direction is due to magnus, and any deviation from that is nonmagnus movement

she's a serial overwriter, which some folks love to fawn over. all fluff, little substance, zero concision

He shared on twitter, and it's not using 3d spin vector but instead using statcast's induced horizontal and vertical movement without gravity projected onto statcast's 2d spin_axis. So [horz,vert] dot spin_axis_unit_vector