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Author Topic: Reputation Stock Markets  (Read 949 times)
Obsi
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June 13, 2012, 02:57:25 AM
 #1

After seeing PatrickHarnett's thread about a credit rating system while having Accelerando open in the tab next to it, I got to thinking about the reputation markets Charles Stross writes about in the book.

Why not try for a constantly updated efficient market model for reputation/credit ranking based on crowdsourced information?

I'm still trying to wrap my head around a method that would work without allowing the negative incentivizations people may have in trying to tank someone's rep to buy in low and then wait for them to build their rep back up to sell high.

People have had similar ideas before.

It would be an interesting experiment IMHO, and I'd love to hear any ideas about how to make this a reality.
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totaleclipseofthebank
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June 13, 2012, 03:02:25 AM
 #2

Useless post, but this reminds me of Hiro's job in Snow Crash--basically selling tidbits of information to a gigantic centralized "Wiki" type information construct
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June 13, 2012, 03:07:22 AM
 #3

Wasn't Nefario testing the glbse predictions site to implement crowdsourced reputation ratings?

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notme
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June 13, 2012, 03:57:46 AM
 #4

Sure, this could make it more expensive to run a ponzi, but couldn't they just buy up their ratings once they got the first few people to take a risk?

https://www.bitcoin.org/bitcoin.pdf
While no idea is perfect, some ideas are useful.
12jh3odyAAaR2XedPKZNCR4X4sebuotQzN
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June 13, 2012, 09:50:10 AM
 #5

Wasn't Nefario testing the glbse predictions site to implement crowdsourced reputation ratings?

The prediction market never took off it seems.


totaleclipseofthebank
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June 13, 2012, 09:57:17 AM
 #6

The issue here is with credibility and independence. A btc ratings agency would have to be trusted by many people by having a well-established reputation, while also being independent from any assets that it is covering. The value of the company would be based on its reputation for being independent and objective.

This would be pretty hard to do while preserving anonymity.
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