When thinking of type I and type II errors, I think of the healthcare industry. Drug companies will often say that if you take a certain drug, it will cure your disease or illness when in some cases it really doesn't. This is a Type I error. A Type II error is when you mistakable claim that the drug is ineffective when it in fact is. There are repercussions to these claims because lives are at stake. In my job, my clients lobby the FDA and one way to prevent these types of errors from occuring is to delay to roll out of specific drugs. This allows researchers more time to test and get the numbers in a place that are more realistic. I'd like to share this article that I came across earlier on this topic:http://www.fdareview.org/06_incentives.php

What do you think of this topic?