Comment by danielmarkbruce

I read the article and the example - I don't see it as an example of what he lays out. As you say - he laid out a bunch of questions and answered them. How is that testing anything against noisy data? Why are they intermediate steps? Where is the feedback loop? What if his answers are wrong and/or what if his sense for how likely they are is wrong?