Related to: Joy in the Merely Real, How An Algorithm Feels From Inside, "Science" As Curiosity-Stopper

Your friend tells you that a certain rock formation on Mars looks a lot like a pyramid, and that maybe it was built by aliens in the distant past. You scoff, and respond that a lot of geological processes can produce regular-looking rocks, and in all the other cases like this closer investigation has revealed the rocks to be completely natural. You think this whole conversation is silly and don't want to waste your time on such nonsense. Your friend scoffs and asks:

"Where's your sense of mystery?"

You respond, as you have been taught to do, that your sense of mystery is exactly where it should be, among all of the real non-flimflam mysteries of science. How exactly does photosynthesis happen, what is the relationship between gravity and quantum theory, what is the source of the perturbations in Neptune's orbit? These are the real mysteries, not some bunkum about aliens. And if we cannot learn to take joy in the merely real, our life will be empty indeed.

But do you really believe it?

I loved the Joy in the Merely Real sequence. But it spoke to me because it's one of the things I have the most trouble with. I am the kind of person who would have much more fun reading about the Martian pyramid than about photosynthesis.

And the one shortcoming of Joy in the Merely Real was that it was entirely normative, and not descriptive. It tells me I should reserve my sense of mystery for real science, but doesn't explain why it's so hard to do so, or why most people never even try.

So what is this sense of mystery thing anyway?

Didn't have the time to read the article itself, but based on the abstract, this certainly sounds relevant for LW:

Recent advances in information technology make it possible for decision makers to track information in real-time and obtain frequent feedback on their decisions. From a normative sense, an increase in the frequency of feedback and the ability to make changes should lead to enhanced performance as decision makers are able to respond more quickly to changes in the environment and see the consequences of their actions. At the same time, there is reason to believe that more frequent feedback can sometimes lead to declines in performance. Across four inventory management experiments, we find that in environments characterized by random noise more frequent feedback on previous decisions leads to declines in performance. Receiving more frequent feedback leads to excessive focus on and more systematic processing of more recent data as well as a failure to adequately compare information across multiple time periods.

Hat tip to the BPS Resarch Digest.

ETA: Some other relevant studies from the same site, don't remember which ones have been covered here already:

Threat of terrorism boosts people's self-esteem

The "too much choice" problem isn't as straightforward as you'd think

Forget everything you thought you knew about Phineas Gage, Kitty Genovese, Little Albert, and other classic psychological tales

Related to: Can Counterfactuals Be True?, Newcomb's Problem and Regret of Rationality.

Imagine that one day, Omega comes to you 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 see, Omega 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.

Omega can predict your decision in case it asked you to give it $100, even if that hasn't actually happened, it can compute the counterfactual truth. Omega is also known to be absolutely honest and trustworthy, no word-twisting, so the facts are really as it says, it really tossed a coin and really would've given you $10000.

From your current position, it seems absurd to give up your $100. Nothing good happens if you do that, the coin has already landed tails up, you'll never see the counterfactual $10000. But look at this situation from your point of view before Omega tossed the coin. There, you have two possible branches ahead of you, of equal probability. On one branch, you are asked to part with $100, and on the other branch, you are conditionally given $10000. If you decide to keep $100, the expected gain from this decision is $0: there is no exchange of money, you don't give Omega anything on the first branch, and as a result Omega doesn't give you anything on the second branch. If you decide to give $100 on the first branch, then Omega gives you $10000 on the second branch, so the expected gain from this decision is

-$100 * 0.5 + $10000 * 0.5 = $4950