text:   League",7,"[""I'm going to ask a question that no one expects me to: Did we get fourth down analysis (partially) wrong?  \n\nA new paper about the challenges of analyzing traditional NFL data, and where player tracking data can help. <LINK> <LINK>"", ""Here's why: teams that went for it on 4th-and-1's were, on average, 20% closer to the line to gain than teams that did not go for it on 4th-and-1. We weren't comparing apples to apples when looking at fourth down strategy, even when we thought we were. https://t.co/zbPfWaeNVS"", ""The article I've shared above is (hopefully) the introduction to this special JQAS issue. If you are reading the article and wondering why there is some blank space, it depends on which articles are accepted https://t.co/uEMFD4lJwu"", ""@Mike_Champagne Player-level data would potentially help strategy, although it's not the once I focused on here"", '@rtelmore That was the idea of an anonymous but intelligent reviewer. Idea is to imagine offense moving forward', ""@zbinney_NFLinj Not something to ignore, and likely a sensitivity analysis would be appropriate. I used a second identification strategy (footnote 2, page 4) and the differences were magnified. Additionally, I'm assuming measurement error differences are independent of yardage remaining"", '@903124S In the paper, those same contextual factors are accounted for']",19,09,1287