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Notes -
I noticed this kind of thing as well recently while trying to learn about something I had little clue about, via ChatGPT. I was curious about how important the positioning of the laces on the football was during a field goal/extra point attempt in American football, since I'd heard that the holder needs to put the laces on the outside, i.e. facing away from the kick, and facing towards the goal. It made intuitive sense to me, that the laces being on the surface where the kicker's shoe touches the ball probably adds more randomness than is desired, but I was wondering if the laces facing to the side would affect the kick, particularly in the aerodynamics of how the ball might curve as it flies in the air. And no matter how many iterations of questioning I did, any requests to analyze how laces facing to the side might affect the aerodynamics of the ball in a negative way for accuracy would either get variations of the same tip about the laces having to face away from the kicker or get "confused" with analysis about the football itself being held sideways on the ground (obviously not good for field goals or any attempts to kick the ball high). It seemed that the generally common knowledge among football fans about the laces facing away was about all that the model was trained on, with respect to this particularly niche topic.
I didn't use o1 with chain of thought, though, so maybe I'd get more info if I did, either with that or DeepSeek.
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