In one of your previous posts you said that ‘What Beauty actually learns is that “she is awoken at least once”’ and in this post you say “Therefore, if the Beauty can potentially observe a rare event at every awakening, for instance, a specific combination , when she observes it, she can construct the Approximate Frequency Argument and update in favor of Tails.”
I think this is a mistake, because when you experience Y during Sleeping Beauty, it is not the same thing as learning that “Y at least once.” See this example: https://users.cs.duke.edu/~conitzer/devastatingPHILSTUD.pdf
Conitzer’s example is that 2 coins are flipped on Sunday. Beauty wakes up day 1 and sees coin 1, then wakes up day 2 and sees coin 2. When she wakes up and sees a coin, what is her credence that the coins are the same?
I think everyone would agree that the probability is 1⁄2. However, suppose she sees tails. If she learns “at least one tails” then the probability of “coins are the same” would be only 1⁄3. Therefore, even though she can see tails, she did not learn “at least one tails”.
Similarly, if she observes C, that is not the same thing as “C at least once.” She learned “C today” which seems like it does not allow updating any probabilities, for all the reasons you have given earlier. So rare events such as a specific sequence of coin flips Beauty knew in advance, should still not allow probability updates.
You are creating a related but different and also complicated problem: the Two Child Problem, which is notoriously ambiguous. “Then you are told the state of one of the coins” can have many meanings.
If I ask the experimenter “choose one of the coins randomly and tell me what it is” then I am not able to update my probability. It will still be 1⁄2 that the coins are the same.
If I ask the experimenter “is there at least one heads?” then I will be able to update. If they say yes I can update to 1⁄3, if they say no I can update to 1.
Conitzer’s problem can be simplified further by letting Beauty flip a coin herself on Monday and Tuesday.
She wakes up Monday and flips a coin. She wakes up Tuesday and flips a coin. That’s it.
After flipping a coin, what should her credence be that the coin flips are the same?
Do you disagree now that the answer is 1/2?
I think it is clearly 1⁄2 precisely because there is no new evidence. The violation of the Reflection Principle is secondary. More importantly, something has gone wrong if we think she can flip a coin and update the probability of the coins being the same.
I agree, but she doesn’t get to observe the sequence of tosses in the experiment. She isn’t even able to observe that a sequence of tosses happens “at least once” in the experiment. That’s what Conitzer shows in his problem.
She can’t update her probability based on observing a rare event C (as you have defined it), because she can’t observe C in the first place.
A version without amnesia is not exactly the same situation, but something similar can happen. Suppose the experimenter will flip a coin, on heads they will flip a new sequence of 1000, on tails they will flip 2 new sequences of 1000. I ask the experimenter “randomly choose one of the sequences and tell me the result”, and they tell me the result was 1000 heads in a row. A sequence of 1000 heads in a row is more likely to have occurred at least once if they flipped 2 sequences. But this does not allow me to update my probability of the number of sequences, because I have not learned “there is at least one sequence of 1000 heads.”