Type I and Type II errors are mathematically coupled through power and sample size. Choosing thresholds based on consequences requires empirical knowledge of actual harm magnitudes, not just intuition.
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Knowledge derived from experience and scientific experiment, as opposed to a priori reasoning.
knowledge(Distinguished from mere true belief, which may be the product of indoctrination and need not exercise deliberative capacities.)
Justified true belief — true belief that has been arrived at through the exercise of deliberative capacities, including comparison of and deliberation among alternatives.
type I error(The strict requirement to avoid type I errors in the corpus-building process is what filters out inconclusive evidence)
In the context of scientific corpus formation, the error of accepting a claim as scientifically established when it is not — i.e., a false positive inclusion.
type II error(standards of proof and statistical inference)