182 words · auto-generated from the episode video
45:04said okay, let's simulate a trajectory. The Y axis isn't important it's a kind of like what percent of deviation was the trajectory different um based on like something that was purely a a flat drag coefficient. Um and the X axis shows the velocity but again the main thing to see is the Jabulani in the yellow is the outlier. It's doing this weird >> It's almost the inverse. >> Every everything else is following the similar trajectory. >> Yeah. >> Right? Of like how how the data looks. >> Yeah. >> But in all of their graphs that then they have multiple sort of plots showing the behavior of all the different balls and in every single one Jabulani is just showing something completely different. >> I can't believe they got away with this. >> Yeah. >> This is this is actually it's it's also
45:46um you know I think the fact that the science is backing up the visual observations >> Yeah, it's kind of cool. >> and the player observations or the player experiences that folks had is
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