Wikipedia article about "long tail" says that:
A probability distribution is said to have a long tail, if a larger share of population rests within its tail than would under a normal distribution.
I am confused about this. Isn't a normal distribution exponential one? Meaning even large values of x will have some corresponding value of y, thus making those values of x "rest within its tail"?
Or does this sentence mean that area of tail in long-tail-distribution is more than are of tails in a normal-distribution?
Also what would be the difference between a long-tailed and a fat-tailed distribution?