Do we know how common it is for someone who thought they were signed up for cryonics to not actually be frozen because something was screwed up with the paperwork?
I'm not aware of any such cases. Perhaps someone more involved with cryonics can comment on this?
As to accidental death and related issues- I'm not sure. Given your analysis you've added in this comment I'm more inclined to accept your original number.
Something might kill a lot of people at once. This is unlikely, but is it more than 1% unlikely?
Well, if something killed a lot of people it would likely be a heavily traumatic event, so that would be already accounted for. Even a sudden plague would create disruption. So I don't think that there's any at all likely scenario where there's a disaster that causes a sudden influx of cryopatients and doesn't trigger one of the other failure modes. I have trouble even imagining what that sort of situation would look like- maybe an meteorite striking a cryonics convention?
I didn't know about this. That is worrysome. Would you put it closer to 0.25?
Unsure. The cryonics law seems to be a fluke, and see the other reply to my remark which notes how the law in practice isn't nearly as restrictive as one might think.
Direct revival seems really impractical to me. Should it?
I don't think that direct revival seems substantially more impractical than uploading. I suspect that uploading will likely come first, but I don't see why sufficiently advanced nanotech couldn't handle direct revival. There's also a non-trivial number of cryonauts and people considering cryonics who are more comfortable with revival than uploading.
I convert all the probabilities of failure to probabilities of success by subtracting them from 1. Then I multiply them all and subtract the result from one
Well, yeah this works if they are all independent probabilities. But some of them are clearly not. For example, a lot of the worst case post-preservation problems are likely to be correlated with each other (a lot of them have large scale catastrophes as likely causes). Those should then reduce the chance of failure. But at the same time, other possibilities are essentially exclusive- say dying from Alzheimer's or dying from traumatic brain injury at a young age. That sort of thing should result in an increased total probability. Working out how to these all interact might require a much more complicated model (you mentioned the Drake equation as an inspiration and it is interesting to note that it runs into very similar issues). But I agree that as a very rough approximation, you can assume that everything is independent and probably not be too far off.
So I don't think that there's any at all likely scenario where there's a disaster that causes a sudden influx of cryopatients and doesn't trigger one of the other failure modes. I have trouble even imagining what that sort of situation would look like- maybe an meteorite striking a cryonics convention?
How about a deliberate attack at a cryonics convention? There was stuff about nanotech researchers getting bombs in the mail, I don’t see why it wouldn’t happen to cryonicists, especially a couple of decades from now when it cryonics might be more popular ...
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.