Inverse gamma priors for variance parameters are informative

I guess I need to go figure out why Gelman says that inverse-gamma priors for variance parameters are informative and therefore suggests (I'm assuming based on my previous post) half-t priors. I guess the answer is in this paper. And apparently this is implemented in blmer/bglmer in R.

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