This is the third part of a series discussing the Fine Tuning argument (FTA). The outline is here.
Uncertainty vs Ignorance
Earlier, I showed this plot showing probability distributions for three possible hypotheses of the universe. The FTA contends that the naturalism hypothesis predicts distribution A, and the God hypothesis predicts distribution B.

Three possible probability distributions. x0 marks the parameters of the universe that we have in the real world.
I will refer to a distinction that is commonly made between “uncertainty” and “ignorance”. “Uncertainty” refers to a situation where you don’t know what’s going to happen, but you at least have probabilities, a way to quantify how much you don’t know. “Ignorance” refers to a situation where you don’t know what’s going to happen, and you don’t even know how much you don’t know. When we compare probability distributions in the FTA, the probability distributions are just cartoons. We don’t have any real probabilities. We’re operating from a state of ignorance, not uncertainty.
Or, in other words, we pulled these probability distributions out of our asses.


