All of RonPisaturo's Comments + Replies

Your comment touches on the crux of the matter.

Of course, what is moving and what is fixed depends on the point of reference. In my analysis, I take the present as the fixed point of reference. When I vary the unknown Y, I am varying the unknown number of years ago when the last asteroid strike occurred. The time when the asteroid destroyer is built remains fixed at 150 years after the present.

Keep in mind the first error I noted in my post. Leslie starts with prior information and prior probabilities about future births, not total births. Leslie assumes t... (read more)

Is your first objection that, in my scenario, the decrease in lambda occurs in the present year, while Leslie assumes that the decrease in lambda will not occur until 150 years from now? That’s a fair issue to raise. In my book, I work through numerical examples in detail (using Poisson processes instead of binomial processes), including an example using plausible numbers based on Leslie’s own scenario, and I also identify more general mathematical formulas. But I will try to defend the basic ideas here.

Suppose I amend my scenario as follows: the asteroid ... (read more)

0Manfred
No. The trouble is that your argument about "greater when Y is closer to the beginning" hinges on imagining varying the value of Y - moving it around. Currently when you move around the year Y, you are moving not just the present year but also the year when asteroid defense is built. What I would like to see (among other things) is you moving around the present year without moving around when asteroid defense is built. I appear to be using a different meaning of "self-sampling assumption" than you. Rather than worrying about it, do we agree that when used correctly it's just an expression of underlying statistics? Then we could just talk in terms of statistics and not have to worry about the definition.

Your use of the Jeffreys prior--P(T=n) ∝ 1/n--is the exception I mention: Gott (1994, 108) uses the Jeffreys prior.

I do not know how to get nice formatting into a comment, so I will try to address your question in an addendum to my original post.

2Manfred
Thanks. It looks like your reasoning is incorrect. What your equations are really saying is "you're more likely to live to year N if you build safety systems earlier." That is, your year Y isn't (just) the "present moment," it's "the year you build an asteroid deflector." However, you do not show that, given that our existential risk can decrease dramatically in the future, we should expect to have a long future ahead of us. Also: The risk isn't what matters to reference class. The reference class does refer to some class with constant probability. But that probability is not the probability of existential risk. It is the probability that I am in some state, given some information about me. Unless that information is "I am about to die from an existential threat," these probabilities are not the same and so the existential risk will not be constant over the reference class for you.

I came to Less Wrong in 2009 because of posts I noticed on the Doomsday Argument, which I have written about in the peer-reviewed literature. Recently, I self-published a short e-book which addresses the subject along with other subjects that I think would be of interest to this community. But the book is not free—the price is $4—and I am concerned that I might be violating etiquette if I self-promote it in a Discussion post. (I do have four karma points.)

In a post I have drafted (but not submitted) for Less Wrong, I summarize part of my book; I also invi... (read more)

4gwern
My own personal take is that if the summary is enough to grapple with and fairly evaluate, so that people who don't buy the book or get it for free can get still something out of that post (something comparable to your average Discussion post), then it's fine. Good material is good material wherever it comes from - Gary Drescher's Good and Real was not available for free but discussing it here with him was still fine because the material was very good. (The last author to get bitten here was promoting a book that the LWer who read it described as extremely fluffy, uncomprehensive, and a good example of bad business books.)

My paper, Past Longevity as Evidence for the Future, in the January 2009 issue of Philosophy of Science, contains a new refutation to the Doomsday Argument, without resort to SIA.

The paper argues that the Carter-Leslie Doomsday Argument conflates future longevity and total longevity. For example, the Doomsday Argument’s Bayesian formalism is stated in terms of total longevity, but plugs in prior probabilities for future longevity. My argument has some similarities to that in Dieks 2007, but does not rely on the Self-Sampling Assumption.