I have sympathy with both one-boxers and two-boxers in Newcomb's problem. Contrary to this, however, many people on Less Wrong seem to be staunch and confident one-boxers. So I'm turning to you guys to ask for help figuring out whether I should be a staunch one-boxer too. Below is an imaginary dialogue setting out my understanding of the arguments normally advanced on LW for one-boxing and I was hoping to get help filling in the details and extending this argument so that I (and anyone else who is uncertain about the issue) can develop an understanding of the strongest arguments for one-boxing.
I'm happy to learn that you consider UDT a variant of EDT, because after thinking about these issues for awhile my current point of view is that some form of EDT is obviously the correct thing to do, but in standard examples of EDT failing the relevant Bayesian updates are being performed incorrectly. The problem is that forcing yourself into a reference class by performing an action doesn't make it reasonable for you to reason as if you were a random sample from that reference class, because you aren't: you introduced a selection bias. Does this agree with your thoughts?