Though it’s unclear to me if confidence intervals suggest this notation already. If you had less chance of moving your interval, then it would already be a smaller interval, right?
Counterexample: if I estimate the size of a tree, I might come up with CI 80 % [5 m, 6 m] by eye-balling it and expect that some friend will do a stronger measurement tomorrow. In that case, CI 80 % [5 m, 6m] still seems fine even though I expect the estimate to narrow down soon.
If the tree is instead from some medieval painting, my CI 80 % [5 m, 6 m] could still be true while I do not expect any significant changes to this estimate.
I think that the credal resilience is mostly the expected ease of gaining (/loosing??) additional information so that it does provides additional info to the current estimates. But there is something to your statement: If I expected that someone could convince me that the tree is actually 20 m tall, this should already be included in my intervals.
Counterexample: if I estimate the size of a tree, I might come up with CI 80 % [5 m, 6 m] by eye-balling it and expect that some friend will do a stronger measurement tomorrow. In that case, CI 80 % [5 m, 6m] still seems fine even though I expect the estimate to narrow down soon.
If the tree is instead from some medieval painting, my CI 80 % [5 m, 6 m] could still be true while I do not expect any significant changes to this estimate.
I think that the credal resilience is mostly the expected ease of gaining (/loosing??) additional information so that it does provides additional info to the current estimates.
But there is something to your statement: If I expected that someone could convince me that the tree is actually 20 m tall, this should already be included in my intervals.