I’m unclear if this mechanism is actually in use, though, and I’ve seen a convincing attack proposed which might explain why Schelling coins don’t seem to be in widespread use.
I’m unclear if this mechanism is actually in use, though, and I’ve seen a convincing attack proposed which might explain why Schelling coins don’t seem to be in widespread use.
It's done to some degree with prediction markets, but the main problems those generally have are that they predict binary events, which just like binary options are prone to fraud. Even when used for continous ranges (like your temperature example), they generally suffer from semantic "fuzziness" if they are expressed in natural language.
Instead, the problem is they still require an oracle for the actual event outcome. That is, everyone is betting on some event, but once it happens, an oracle is needed to tell the market what the actual outcome was. So they don't solve the oracle problem. They're another application that can make use of oracles.
Similar, there are cases like "What is the capital of the state of New York?" A Schelling-point answer might easily be New York City, even though the correct answer is Albany. There's research on this stuff in the "peer prediction" a.k.a. "information elicitation without verification" literature, e.g. Prelec, Seung, McCoy 2017: https://marketing.wharton.upenn.edu/wp-content/uploads/2017/...