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Just because you can easely see the bias in the example doesn't mean you can in other area's. There are magicians that can reliably flip coins. I mean, what we
by Out_of_Characte 5y ago
Just because you can easely see the bias in the example doesn't mean you can in other area's. There are magicians that can reliably flip coins.
I mean, what were you expecting? He flipped a coin 600 times. his findings aren't going to be groundbreaking if he did it 6.000 times.
- fighterpilot 5y agoThe point is that stats isn't useful for demonstrating the existence of bias since we know already the bias exists given the deliberate introduction of bias. We know the population function is biased and sample data from that function isn't going to change that. The stats in the post is mostly a commentary on the phenomenon of statistical power. It may also be a commentary on how the angle of the bend is non-linearly related to coin flip bias. I did find that bit to be unexpected. Although given the wide sampling distribution due to the low N, this could easily be variance.