You clearly need to take stats again, because you don't understand what you're citing. A 95% confidence interval is not the same thing as a hypothesis test of p

You clearly need to take stats again, because you don't understand what you're citing. A 95% confidence interval is not the same thing as a hypothesis test of p<.05. A confidence interval is for estimating the uncertainty that your chosen margin of error will include the true population parameter. Nobody's claiming she's always 100% accurate. That's also a factor of low sample sizes. But I went ahead and computed the margin of error for you. For n=12, a 95% confidence interval requires a margin of error of 28%, so her true detection ability is, at worst, 72%, which is still higher than anything else we've got.