No more Type I/II error confusion

Type I and Type II errors are, respectively, when you allow a statistical test to convinces you of a false effect, and when you allow a statistical test to convince you to dismiss a true effect. Despite being fundamentally important concepts, they are terribly named. Who can ever remember which way around the two errors go? Well now I can, thanks to a comment from a friend I thought so useful I made it into a picture: