Heavy-tailed distributions are particularly problematic: if you set up a situation with power of 0.9 to detect an effect in a normal distribution and contaminate that distribution with 10% of scores from a normal distribution with a bigger variance (so you get heavier tails), power drops to 0.28 (despite the fact that only 10% of scores have changed).
