Does anyone think it might be useful to discuss a formula that could be used to assess risk of accepting a transaction based on individual green addresses?
The way it would work is a spender would send their bitcoins from their own personal green address. It's nothing special, except that it is just an address they continuously keep funded to make rapid payments.
The idea is that the block chain can see the date of first spend, the number of transactions per day (average), even some kind of frequency analysis like even distributions over time or all bunched up a long time ago, a clean history of no double spends, etc.
On top of that, each receiving client can be programmed with risks associated with different amounts of Bitcoin received... that is, anything under 1 btc, low risk, anything over 50 btc medium risk, etc. Then the client could display some sort of indication of trust for that transaction.
What I would like to discuss, if you guys think this would be useful, is the criteria for the computation of blockchain data, and user configurable datapoints that would make this useful to the community.