To avoid ever making an Type II error, often often never "accepts" the null hypothesis \(N_0\) even if the sample does not conclude that it is false. In other words, if you do this then you will never allow yourself to determine that \(N_0\) is true. Seems odd but this is one way to avoid ever worrying much about type II errors. The best way to avoid this blind spot is to use relatively large test samples and in doing so you will minimize the likelihood of type II.