you assume that the probability of being within some huge set full of yous and non-yours is independent of number of non-yous, which is just a wild guess. Connect together half a dozen implicit wild guesses with likelihood of correctness of overly generous 1 in 100 each
Do you think it's "generous" to assign only 99% probability in the negation of "the probability of being within some huge set full of yous and non-yours is independent of number of non-yous" where "you" is interpreted to include all your observations? That seems like insane overconfidence in a view that goes haywire in simple finite discrete cases.
Typical philosophy: tear strawman alternatives to prove a wild guess. (Why strawman: because can be also dependent on anything else entirely like positions of copies)
Also, the 99% confidence is not in the dependence on non yous (and yous BUT nothing else), the 99% confidence is in the wild guess of independence from everything else and dependence to count of yous, to be wrong. Also, consider two computer circuits real nearby, running identical you, separated by thin layer of dielectric. Remove dielectric, 1 copy with thicker wires. Conclusion: it may depen...
Nick Szabo on acting on extremely long odds with claimed high payoffs:
Beware of what I call Pascal's scams: movements or belief systems that ask you to hope for or worry about very improbable outcomes that could have very large positive or negative consequences. (The name comes of course from the infinite-reward Wager proposed by Pascal: these days the large-but-finite versions are far more pernicious). Naive expected value reasoning implies that they are worth the effort: if the odds are 1 in 1,000 that I could win $1 billion, and I am risk and time neutral, then I should expend up to nearly $1 million dollars worth of effort to gain this boon. The problems with these beliefs tend to be at least threefold, all stemming from the general uncertainty, i.e. the poor information or lack of information, from which we abstracted the low probability estimate in the first place: because in the messy real world the low probability estimate is almost always due to low or poor evidence rather than being a lottery with well-defined odds.
Nick clarifies in the comments that he is indeed talking about singularitarians, including his GMU colleague Robin Hanson. This post appears to revisit a comment on an earlier post:
In other words, just because one comes up with quasi-plausible catastrophic scenarios does not put the burden of proof on the skeptics to debunk them or else cough up substantial funds to supposedly combat these alleged threats.