So if you say true parameter far from null hypothesis, what it's saying, that also will increase the power. So these two are not typically under your control, but the sample size is, and the significance level is. Significance level, there's a trade-off, though. If you increase the power through that, you're also increasing the probability of a type one error. So for a lot of researchers, they might say, hey, if a type two error is worse, I'm willing to make this trade-off. I'll increase the significance level. But if a type one error is actually what I'm afraid of, then I wouldn't wanna use this lever.