When analyzing a model with random variables $($i$.$e$.,$ variables with uncertain values$),$ which of the following is the disadvantage of performing manual what$-$if analysis, compared to simulation?

Biased values for the outcome of interest based on the scenarios chosen

It is hard to manually pick hundreds or thousands of scenarios

All of the them

It does not provide distribution information for the outcome of interest