There has been some discussion on this thread about who would revive you once you were cryopreserved, and how they would pay for it.
This is covered in the Alcor FAQ (which is really excellent, and well worth browsing):
Q: Who will revive the patients?
A: The short answer is "Alcor will revive them."
The third item in Alcor's mission statement is: "Eventually restore to health all patients in Alcor's care."
Reviving the patients is also required by Alcor's contracts with members: "When, in Alcor's best good faith judgement, it is determined that attempting revival is in the best interests of the Member in cryopreservation, Alcor shall attempt to revive and rehabilitate the Member."
Reviving the patients is also a duty of the Alcor Patient Care Trust: "At such time as Alcor deems that repair and revival of the Patients is feasible, the Trust shall expend whatever amounts of money are necessary to revive the Patients and reintroduce them to society, as long as on-going care of the Patients remaining in biostasis is not endangered. It is the intent of the Trust that such repair and revival proceed in such manner that ongoing Trust earnings reasonably can be predicted to provide for the eventual repair and revival of all Patients."
Financially, the Patient Care Trust should grow in real value over time — compound interest should eventually produce sufficient assets to cover the costs of revival. At the same time, as technology progresses the cost of reviving patients should decrease over time. Eventually, the ever increasing funds available in the PCT should be sufficient to pay for the ever decreasing costs of reviving the patients.
Socially, Alcor is a community. Some members of this community are alive and healthy, while others have been cryopreserved. This community forms an interconnected network of friendships and close ties. At any point in time the healthy members of this network have friends, relatives and loved ones in cryopreservation and will seek to revive them. Once revived, those members will in turn have other friends in cryopreservation, and they will in turn seek to revive them.
The plan is not for "them" to revive us. The plan is that we, the Alcor community, will revive ourselves.
I think there's a decent chance that even if some of us are revived we won't have any ability to create anywhere near the economic value needed to revive others. We'd probably be pretty useless to the future, so that if reviving people is at all expensive the people revived first would not be able to continue the process.
If an American signs up for cryonics and pays their ~$300/year, what are their odds of being revived? Talking to people at LessWrong meetups I've heard estimates of 1 in 2. My friend George Dahl, whose opinion I respect a lot, guesses "less than 1 in 10^6". Niether has given me reasons, those numbers are opaque. My estimate of these odds pretty much determines whether I should sign up. I could afford $300/year, and I would if I thought the odds were 1:2, but not if they were 1:10^6. [1]
In order to see how likely this is to work, we should look at the process. I would sign up with a cryonics company and for life insurance. I'd go on living, enjoying my life and the people around me, paying my annual fees, until some point when I died. After death they would drain my blood, replace it with something that doesn't rupture cell walls when it freezes, freeze me in liquid nitrogen, and leave me there for a long time. At some point, probably after the development of nanotechnology, people would revive me, probably as a computer program.
There's a lot of steps there, and it's easy to see ways they could go wrong. [3] Let's consider some cases and try to get probabilities [4]:
Update: the probabilities below are out of date, and only useful for understanding the comments. I've made a spreadsheet listing both my updated probabilities and those for as many other people as I can find: https://docs.google.com/spreadsheet/...
Combined Probability Of Failure: 99.82%
Odds of success: 1 in 567.
If you can think of other ways cryonics might fail, moving probability mass from "other" to something more quantifiable, that would be helpful. If you think my numbers are off for something, please let me know what a better number would be and why. This is not final.
Am I going about this right? Do people here who think it's rational to sign up for cryonics take a "the payoff is really high, so the small probability doesn't matter" view? Am I overly pessimistic about its chances of success?
Note: I originally posted this on my blog, and the version there has a silly javascript calculator for playing with the probabilities.
[1] To figure out what odds I would accept, I think the right approach is to treat this as if I were considering signing up for something certain and see how much I would pay, then see what odds bring this below $300/year. Even at 1:2 odds this is less effective than Village Reach at averting death [2], so this needs to come out of my 'money spent on me' budget. I think $10,000/year is about the most I'd be willing to spend. It's a lot, but not dying would be pretty nice. This means I'd need odds of 1:33 to sign up.
[2] Counter argument: you should care about quality adjusted life years and not deaths averted. Someone revived maybe should expect to have millenia of life at very high quality. This seems less likely to me than just the claim "will be revived". A lot less likely.
[3] In order to deal with independence issues, all my probability guesses are conditional on everything above them not happening. Each of these things must go right, so this works. For example, society collapsing and my cryonics organization going out of business are very much not independent. So the probability assigned to the latter is the chance that society won't collapse, but my organization goes out of business anyway. This means I can just multiply up the subelements to get probabilities for sections, and then multiply up sections to get an overall probability.
[4] This has a lot in common with the Warren formula, which was inspired by the Drake equation. Robin Hanson also has a breakdown. I also found a breakdown on LessWrong that seems really optimistic.
EDIT 2011-09-26: jsalvatier suggested an online spreadsheet, which is very sensible. Created
EDIT 2011-09-27: I've updated my probabilities some, and made the updates on the spreadsheet.