Question: which is more dangerous type 1 or 2 error?
Answer: A conclusion is drawn that the null hypothesis is false when, in fact, it is true. Therefore, Type I errors are generally considered more serious than Type II errors. ... However, it increases the chance that a false null hypothesis will not be rejected, thus lowering power.