 making you know they were they're making this whole thing about a which trial and they said that uh... that uh... which should play came to the conclusion that the which should float or something like that because they took this these logical leaps every time uh... they made a statement they took this kind of crazy logical leap that doesn't make sense and we get pretty good when using words to kind of see those logical leaps that are wrong with statistics the reason people get frustrated with them is because we're not as good we don't get as much practice with the statistical logical leaps that are being taken so when people take a logical leap where we might be more likely to miss it and then blame the statistics so someone was to say hey look the average is one point oh six you can't deny that took the average with this excel average function and it gave me one point oh six therefore i need to uh... i need to i need to implant an ovary into you because you're short an ovary and you need one because that and you see that's just like the monty python stick where she's a wet wood floats and therefore the which should float because she's like it's cuz she will burn like wood or something like that doesn't make any you know obviously a logical step uh... went as a ride somewhere in that and so clearly if we were to do a little bit more s more testing whether that be a logical step with words or with statistics which they will be able to wait a second there's something different going on here because when i plot out the data uh... i would expect the average kind of like stuff would be falling in the middle here and that doesn't seem to be the case everything seems to be on the edges so it doesn't seem that it's true that you know most people have one ovary right that doesn't say something something is wrong with his average is not that the well the average isn't wrong but your conclusion about the average that at most people have like one ovary is clearly totally false right so and it gets that's it