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Created by Jake Miller at 2y

SSA implies the doomsday argument~~.~~ if the number of total observers in one's reference class is finite.

The ~~Self Sampling Assumption~~self-sampling assumption (SSA), one of the two major schools of anthropic probability^{1} (the other being the ~~Self Indication Assumption~~self-indication assumption (SIA)), states that:

Notice that unlike ~~SIA~~~~,~~SIA, SSA *is* dependent on the choice of reference class. If the agents in the above example were in the same reference class as a trillion other observers, then the probability of being in the heads world, upon the agent being told they are in the sleeping beauty problem, is ≈ 1/3, similar to SIA.

`SSA`

`: All other things equal, an observer should reason as if they are randomly selected from the set of all `

`actually`

existent~~existant~~` observers (past, present and future)`

`in their reference class.`

The Self Sampling Assumption (SSA), one of the two major schools of anthropic probability^{1} (the other being the Self Indication Assumption~~]~~ (SIA)), states that:

SSA implies the doomsday ~~argument.~~argument.

Jake Miller v1.0.0Oct 19th 2012 (+1377) Created page with "The Self Sampling Assumption (SSA), one of the two major schools of anthropic probability<ref>Nick Bostrom, Anthropic Bias: Observation Selection Effects in Science and Philosoph..." 1

The Self Sampling Assumption (SSA), one of the two major schools of anthropic probability^{1} (the other being the Self Indication Assumption] (SIA)), states that:

`SSA`

`: All other things equal, an observer should reason as if they are randomly selected from the set of all `

`actually`

`existant`

` observers (past, present and future)`

`in their reference class.`

For instance, if there is a coin flip that on heads will create one observer, while on tails they will create two, then we have two possible worlds, the first with one observer, the second with two. These worlds are equi-probable, hence the SSA probability of being the first (and only) observer in the heads world is 1/2, that of being the first observer in the tails world is 1/2 x 1/2 = 1/4, and the probability of being the second observer in the tails world is also 1/4.

This is why SSA gives an answer of 1/2 probability of heads in the Sleeping Beauty problem.

Notice that unlike SIA, SSA *is* dependent on the choice of reference class. If the agents in the above example were in the same reference class as a trillion other observers, then the probability of being in the heads world, upon the agent being told they are in the sleeping beauty problem, is ≈ 1/3, similar to SIA.

SSA implies the doomsday argument.

- Nick Bostrom, Anthropic Bias: Observation Selection Effects in Science and Philosophy (New York: Routledge, 2002).↩

## References