skininthegame

What are some examples of prediction markets getting it wrong? 
E.g. prediction markets believed Hillary would win the 2016 US presidential election. 

Trying to build a comprehensive list of examples. 

Also curious as to strong counter-examples I.e. prediction markets were right & contrary to the “professionals”

is it more correct to view an efficient prediction market as a mechanism to provide accurate probabilities for outcomes, rather than predicting binary outcomes? 

e.g. prediction markets correctly assigned Trump a <50% probability of winning the 2016 election.

dev, armchair economist & crypto tea leaves reader - 

/futarchy /network-states x.com/nicovrg_




And if so, what is the implication for conditional markets i.e. futarchy? @nicovrg

to me prediction markets have an evaluation "resolution" that reward people who were right whereas conditional market protect holders & allow them to express their desire depending of proposal result

example ->

Hmm. This makes sense but doesn’t answer the question I’m trying to articulate

Another way stating this: should we expect conditional markets to “get it wrong” some % of the time? If so, is there a correlation between the pass v. fail market prices and the probability the “worse” proposal passes

there might be some keynesian beauty contest in the sense that people trading conditional markets try to predict what other traders are going to trade. you can think that a proposal is -ev (should bid fail) and bid pass because you assume other traders will view it as +ev or do the same assumption as you