Ok, nobody is actually a strict, or even particularly careful bayesean reasoner. Still, what probability do you reserve to "my model doesn't apply, everything I know is wrong"? If you SEE a coin flip come up heads (and examine the coin and perform whatever tests you like), what's your posterior probability that the coin actually exists and it wasn't a false memory or trick in some way?
My opinion is that whatever value of epsilon you pick should be low enough such that it never happens once in your life. "I flipped a coin but it doesn't actually exist" should never happen. Maybe it would happen if you lived for millions of years, but in a normal human lifespan, never once.