Type - I Error & Type - II Error: Pregnancy test analogy - is it legit?
Presumably here


the null hypothesis is $H_0:$ You are not pregnant
the alternative hypothesis is $H_1:$ You are pregnant


so being pregnant would be the positive result. 

You take a pregnancy test


if the pregnancy test gives a positive result when you are not pregnant then this is a false positive, a Type I error when the null hypothesis $H_0$ is in fact true but has been rejected by the test  
if the pregnancy test gives a negative result when you are pregnant then this is a false negative, a Type II error when the null hypothesis $H_0$ is in fact untrue but has not been rejected by the test    


So in a statement of being a true/false positive/negative test, the true/false part is about the accuracy of the test while the positive/negative part is about the result of the test rather than being the real situation