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Hanson's theory is not trying to explain everything. He is puts limits to this theory. He also explains how signalling component helps to get real progress outside signalling. Even this article uses the words 'most' and 'a lot' because that's the message you get from the book.

Signalling explains a lot. Since we are social animals where the survival and status of the group is important, it should explain a lot.




Using words like "most" and "a lot" certainly signals that there is very little limit to the applicability of the theory.

But the commenter points out that most charity is in practice anonymous, which is a serious challenge to any framework that presupposes one's actions are publicly know by others.

It's like the creators of this theory only consider the charity of celebrities, which indeed do it mostly for signalling, and forgot the vast majority of humanity that doesn't get their actions described in the papers...


Charity is very small percentage of our life. We can also internalize our signalling.

If you look at how people act in work, family and love life, signalling explains 90% of it.

Hanson became interested in signalling because his work in prediction markets. Prediction market well implemented seems to work and produce good actionable information. Companies were eager to adopt them. In practice they are catastrophe because they reveal how the choices being made are based on other things than what is said. The whole social structure in workplace is destroyed if the positions and knowledge people signal is revealed to be not true.


> If you look at how people act in work, family and love life, signalling explains 90% of it.

But it equally explains why I don't buy a car (because I want to signal that I'm not the sort of person who would) as much as explains why I do by a car (ditto). So of course it "explains" 90% of how people behave, but only after the fact. Which is suspicious.


I should be interested in reading some examples of catastrophes causes by adoption of prediction markets.




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