Now that you have learned a bit about how Amazon uses A/B tests, what do you think are some of the risks and challenges associated with performing so many hypothesis tests? What would you do to mitigate those risks? Think about the results of the tests. What were the effects? Look at the size of the effects. Were they small or large? Why were the sample sizes so large?