Logical and Indexical Uncertainity

Imagine I shot a photon at a half silvered mirror which reflects the photon with “probability” 1/2 and lets the photon pass through with “probability” 1/2.

Now, Imagine I calculated the trillionth decimal digit of pi, and checked whether it was even or odd. As a Bayesian, you use the term “probability” in this situation too, and to you, the “probability” that the digit is odd is 1/2.

What is the difference between these too situations? Assuming the many worlds interpretation of quantum mechanics, the first probability comes from indexical uncertainty, while the second comes from logical uncertainty. In indexical uncertainty, both possibilities are true in different parts of whatever your multiverse model is, but you are unsure which part of that multiverse you are in. In logical uncertainty, only one of the possibilities is true, but you do not have information about which one. It may seem at first like this should not change our decision theory, but I believe there are good reasons why we should care about what type of uncertainty we are talking about.

I present here 6 reasons why we potentially care about the 2 different types of uncertainties. I do not agree with all of these ideas, but I present them anyway, because it seems reasonable that some people might argue for them. Is there anything I have missed?

1) Anthropics

Suppose Sleeping Beauty volunteers to undergo the following experiment, which is described to her before it begins. On Sunday she is given a drug that sends her to sleep, and a coin is tossed. If the coin lands heads, Beauty is awakened and interviewed on Monday, and then the experiment ends. If the coin comes up tails, she is awakened and interviewed on Monday, given a second dose of the sleeping drug that makes her forget the events of Monday only, and awakened and interviewed again on Tuesday. The experiment then ends on Tuesday, without flipping the coin again. Beauty wakes up in the experiment and is asked, “With what subjective probability do you believe that the coin landed tails?”

People argue about whether the “correct answer” to this question should be 1/3 or 1/2. Some say that the question is malformed, and needs to be rewritten as a decision theory question. Another view is that the question actually depends on the coin flip:

If the coin flip is a indexical coin flip, then there are effectively 3 copies of sleeping beauty, and in 1 on those copies, the coin came up tails, so you should say 1/3. On the other hand, if it is a logical coin flip, then you cannot compare the two copies of you waking up in one possible world with the one copy of you waking up in the other possible world. Only one of the worlds is logically consistent. The trillionth digit of pi is not changed by you waking up, and you will wake up regardless of the state of the trillionth digit of pi.

2) Risk Aversion

Imagine that I were to build a doomsday device. The device flips a coin, and if the coin comes up heads, it destroys the Earth, and everything on it. If the coin comes up tails, it does nothing. Would you prefer if the coin flip were a logical coin flip, or a indexical coin flip?

You probably prefer the indexical coin flip. It feels more safe to have the world continue on in half of the universes, then to risk destroying the world in all universes. I do not think this feeling arises from biassed thinking, but instead from a true difference in preferences. To me, destroying the world in all of the universes is actually much more than twice as bad as destroying the world in half of the universes.

3) Preferences vs Beliefs

In updateless decision theory, you want to choose the output of your decision procedure. If there are multiple copies of yourself in the universe, you do not ask about which copy you are, but instead just choose the output which maximizes your utility of the universe in which all of your copies output that value. The “expected” utility comes from your logical uncertainty about what the universe is like. There is not much room in this theory for indexical uncertainty. Instead the indexical uncertainty is encoded into your utility function. The fact that you prefer to be given a reward with indexical probability 99% than given a reward with indexical probability 1% should instead be viewed as you preferring the universe in which 99% of the copies of you receive the reward to the universe in which 1% of the copies of you receive the reward.

In this view, it seems that indexical uncertainty should be viewed as preferences, while logical uncertainty should be viewed as beliefs. It is important to note that this all adds up to normality. If we are trying to maximize our expected utility, the only thing we do with preferences and beliefs is multiply them together, so for the most part it doesn’t change much to think of something as a preference as opposed to belief.

4) Altruism

In Subjective Altruism, I asked a question about whether or not when being altruistic towards someone else, you should try to maximize their expected utility relative to you probability function or relative to their probability function. If your answer was to choose the option which maximizes your expectation of their utility, then it is actually very important whether indexical uncertainty is a belief or a preference.

5) Sufficient Reflection

In theory, given enough time, you can settle logical uncertainties just by thinking about them. However, given enough time, you can settle indexical uncertainties by making observations. It seems to me that there is not a meaningful difference between observations that take place entirely within your mind and observations about the outside world. I therefore do not think this difference means very much.

6) Consistency

Logical uncertainty seems like it is harder to model, since it means you are assigning probabilities to possibly inconsistent theories, and all inconsistent theories are logically equivalent. You might want some measure of equivalence of your various theories, and it would have to be different from logical equivalence. Indexical uncertainty does not appear to have the same issues, at least not in an obvious way. However, I think this issue only comes from looking at the problem in the wrong way. I believe that probabilities should only be assigned to logical statements, not to entire theories. Then, since everything is finite, you can treat sentences as equivalent only after you have proven them equivalent.

7) Counterfactual Mugging

Omega appears and says that it has just tossed a fair coin, and given that the coin came up tails, it decided to ask you to give it $100. Whatever you do in this situation, nothing else will happen differently in reality as a result. Naturally you don’t want to give up your $100. But Omega also tells you that if the coin came up heads instead of tails, it’d give you $10000, but only if you’d agree to give it $100 if the coin came up tails.

It seems reasonable to me that people might feel very different about this question based on whether or not the coin is logical or indexical. To me, it makes sense to give up the $100 either way, but it seems possible to change the question in such a way that the type of coin flip might matter.