"I don't like statistical tests," Kevin says grumpily. "I think we should just always have very large samples; that way

[answerhappygod]

"I don't like statistical tests," Kevin says grumpily. "I think
we should just always have very large samples; that way we can
ensure that Type 1 and Type 2 error are zero, no matter what
phenomena we are studying and no matter what the true effect size
is."
Imagine for now that we live in a world with lots of resources
and it is possible to always have very high sample size (though not
infinite, nor would we be sampling the entire population). Would
this indeed permit both kinds of error to be zero or extremely
close to zero? Why or why not? A full credit answer will discuss
the relationship between alpha, beta, effect size, and sample size;
there is no need to include any equations or calculations, but your
answer should give an intuitive sense of how these four factors are
related and why.