This is false.
Alpha represents the maximum probability of a type I error we are willing to accept. As alpha gets smaller, the critical regions move out towards the tails of the distribution. In other words, alpha represents the proportion of the distribution that forms the critical region(s). When alpha = 0.10, 10% of the distribution is in the critical region(s). In contrast, when alpha = 0.01, only 1% of the distribution is in the critical region.
The Critical value is a sampling distribution in the subject statistics and it is also known as α region. It is also a section of codes. The significance level is when the null hypothesis is rejected and if the p-value is less than the predetermined level.