Let's establish some notation first:
P(H): My prior probability that the coin came up heads. Because we're assuming that the coin is fair before you present any evidence, I assume a 50% chance that the coin came up heads.
P(H|E): My posterior probability that the coin came up heads, or the probability that the coin came up heads, given the evidence that you have provided.
P(E|H): The probability of observing what we have, given the coin in question coming up heads.
P(E&H): The probability of you observing the evidence and the coin in question coming up heads.
P(E&-H): The probability of you observing the evidence and the coin in question coming up tails.
P(E): The unconditional probability of you observing the evidence that you presented. Because the events (E&H) and (E&-H) are mutually exclusive (one cannot happen at the same time as the other) and the events (H) and (-H) are collectively exhaustive (the probability that at least one of these events occurs is 100%), we can calculate P(E):
P(E) = P(E&H) + P(E&-H)
P(E) = P(E|H) P(H) + P(E|-H) P(-H)
Using Bayes' Theorem, we can calculate P(H|E) after we determine P(E|H) and P(E|-H):
P(H|E) = [P(E|H) P(H)] / [P(E|H) P(H) + P(E|-H) P(-H)]
Let me try this. You come upon a man who, as you watch, flips a 50-50 coin. He catches and covers it; that is, the result of the flip is not known. I, who have been standing there, present you the following question: "What is the chance the coin is heads?"
In this case we can assume that our lack of knowledge is independent of the result of the coin toss; P(E|H) = P(E) = P(E|-H). So
P(H|E) = P(E) (50%) / [P(E) (50%) + P(E) (1 - 50%)] = [P(E) / P(E)] (50% /100%) = 50%.
The next day, you come upon a different man, who, as you watch, flips a 50-50 coin. Again, he catches it; again, the result is not revealed. I, who have been standing there, address you as follows: "Just before you arrived, that man flipped that same coin; it came up heads. What is the chance it is now heads?"
Again here, your probability of observing the first result is independent of the second result. So P(H|E) = 50%.
You come upon a man who is holding a 50-50 coin. I am with him. There is the following exchange:
I (to you, re the man with the coin): This man has just flipped this coin two times.
You: What were the results?
I: One of the results was heads. I don’t remember what the other was.
Here we can note that there are four mutually exclusive, collectively exhaustive, and equiprobable outcomes. Let's call them (HH), (HT), (TH), and (TT), where the first of the two symbols represents the result that you remember observing. Given that you remember observing a result of heads, our evidence is (HH or HT). The second coin is heads in the case of (HH), which is as probable as (HT). Given that P(HH) = P(HT) = 25%, P(HH or HT) = 50%
P(HH|HH or HT) = P(HH or HT|HH) P(HH) / P(HH or HT)
P(HH|HH or HT) = 1 (25% / 50%) = 50%
After I tell you that one of the results was heads but that I don't remember what the other was, you say: "Which do you remember, the first or the second?" I reply, "I don’t remember that either."
We can use the same method as in Question C. Since the ordinality of the missed observation is independent from the result of the missed observation, the probability is the same as in Question C, which is 50%.
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Mr. Bonaccorsi:
Here are two links to classic posts by Eliezer Yudkowsky that you may find pertinent to the second dialog from your last comment. I hope you enjoy them.
How to Convince Me That 2 + 2 = 3
The Simple Truth
Thank you for those links, Mr. Kasper. In taking a quick first look at the two pieces, I've noticed passages with which I'm familiar, so I must have encountered those posts as I made my initial reconnaissance, so to speak, of this very-interesting website. Now that you've directed my attention to those posts in particular, I'll be able to read them with real attention.