For the record, I don't think prediction markets are perfect and solve all problems.
I also don't think solutions/tools should be discarded because they are not perfect.
From your examples, it seems like your knock against prediction markets are the fact the aggregated predictions don't end being correct at times? Of course that's going to happen, and I don't necessary see instances of the wrong aggregated predictions of a market as a bug, but a feature. Human populations are wrong about things all the time in the aggregate. What better way to get better at decision-making than getting feedback on how we are wrong?
My argument for prediction markets was not for generating knowledge in the aggregate from all of the individual users' predictions. It was centered on the individual front as a way to reward individuals who are better able to predict the future. The uber context in which I was commenting was around who should be considered an expert. Prediction markets are one potential tool (albeit not perfect) to measure individual's conception of current reality and future reality.
Right, but the point is that prediction markets remove the subjectivity, and I am saying they don't. They are just wrong in different ways.
Rewarding individuals? So we swap one set of "experts" for another? The point of this is that no-one is an expert. The problems are created not because we don't have prediction markets, but because we treat "experts" with reverence.
The comment about randomness you made to another reply...with any event, there is some part of the outcome that is unpredictable. You could have perfect information, and still would be unable to predict it every time. Some events have no information that can be used to predict them, so predicting is just the event's previous frequency or last value.
It would depend on the underlying event. The reason we have financial markets isn't to predict things, it is to fund things that need funding, and the price mechanism guides that for better or worse.
Creating an artificial prediction market is more like gambling where people are transferring risk for its own sake. Nothing wrong with that but I am not sure what the purpose would be. As said, these markets are also unlikely to add any new information either because the kind of events being talked about some largely random.
Would it be fair to say that there is some value, but the quantity is unknown?
> Creating an artificial prediction market is more like gambling where people are transferring risk for its own sake.
I suppose this is part of what is involved, but "transferring risk for its own sake" doesn't seem like a comprehensive description of what they are.
> Nothing wrong with that but I am not sure what the purpose would be.
I think it's useful to always consider that there may be more to see than what catches one's eye.
> As said, these markets are also unlikely to add any new information either because the kind of events being talked about some largely random.
If I rephrase this to:
>> Because [the kind of events being talked about are largely random] it logically follows that [these markets are unlikely to add any new information].
...it seems to me that this is an imperfect way of thinking about it. Perhaps I have mischaracterized your intended meaning?
I also don't think solutions/tools should be discarded because they are not perfect.
From your examples, it seems like your knock against prediction markets are the fact the aggregated predictions don't end being correct at times? Of course that's going to happen, and I don't necessary see instances of the wrong aggregated predictions of a market as a bug, but a feature. Human populations are wrong about things all the time in the aggregate. What better way to get better at decision-making than getting feedback on how we are wrong?
My argument for prediction markets was not for generating knowledge in the aggregate from all of the individual users' predictions. It was centered on the individual front as a way to reward individuals who are better able to predict the future. The uber context in which I was commenting was around who should be considered an expert. Prediction markets are one potential tool (albeit not perfect) to measure individual's conception of current reality and future reality.