Briefly explain what is wrong with the following statements

1. A Type I error of .05 means that out of 100 tests of the research hypothesis, one can reject a true null hypothesis.
2. It is possible to set the Type I error rate to zero.
3. The smaller the Type I error rate, the better the results.