Oh… wait a minute! I looked up Principal of Indifference, to try and find stronger assertions on when it should or shouldn’t be used, and was surprised to see what it actually means! Wikipedia:
>The principle of indifference states that in the absence of any relevant evidence, agents should distribute their credence (or “degrees of belief”) equally among all the possible outcomes under consideration. In Bayesian probability, this is the simplest non-informative prior.
So I think the superior is wrong to call it “principle of indifference”! You are the one arguing for indifference: “it could hit anywhere in a radius around the targets, and we can’t say more” is POI. “It is more likely to hit the adult you aimed at” is not POI! It’s an argument about the tendency of errors to cancel.
Error cancelling tends to produce Gaussian distributions. POI gives uniform distributions.
I still think I agree with the superior that it’s marginally more likely to hit the target aimed for, but now I disagree with them that this assertion is POI.
I had seen recommendations for T3/T4 on twitter to help with low energy, and even purchased some, but haven’t taken it. I hadn’t considered that the thyroid might respond by shrinking, and now think that that’s a worrying intervention! So I’m glad I read this—thank you.